CINXE.COM

Saiful Nizam Tajuddin | Universiti Malaysia Pahang (UMP) - Academia.edu

<!DOCTYPE html> <html lang="en" xmlns:fb="http://www.facebook.com/2008/fbml" class="wf-loading"> <head prefix="og: https://ogp.me/ns# fb: https://ogp.me/ns/fb# academia: https://ogp.me/ns/fb/academia#"> <meta charset="utf-8"> <meta name=viewport content="width=device-width, initial-scale=1"> <meta rel="search" type="application/opensearchdescription+xml" href="/open_search.xml" title="Academia.edu"> <title>Saiful Nizam Tajuddin | Universiti Malaysia Pahang (UMP) - Academia.edu</title> <!-- _ _ _ | | (_) | | __ _ ___ __ _ __| | ___ _ __ ___ _ __ _ ___ __| |_ _ / _` |/ __/ _` |/ _` |/ _ \ '_ ` _ \| |/ _` | / _ \/ _` | | | | | (_| | (_| (_| | (_| | __/ | | | | | | (_| || __/ (_| | |_| | \__,_|\___\__,_|\__,_|\___|_| |_| |_|_|\__,_(_)___|\__,_|\__,_| We're hiring! See https://www.academia.edu/hiring --> <link href="//a.academia-assets.com/images/favicons/favicon-production.ico" rel="shortcut icon" type="image/vnd.microsoft.icon"> <link rel="apple-touch-icon" sizes="57x57" href="//a.academia-assets.com/images/favicons/apple-touch-icon-57x57.png"> <link rel="apple-touch-icon" sizes="60x60" href="//a.academia-assets.com/images/favicons/apple-touch-icon-60x60.png"> <link rel="apple-touch-icon" sizes="72x72" href="//a.academia-assets.com/images/favicons/apple-touch-icon-72x72.png"> <link rel="apple-touch-icon" sizes="76x76" href="//a.academia-assets.com/images/favicons/apple-touch-icon-76x76.png"> <link rel="apple-touch-icon" sizes="114x114" href="//a.academia-assets.com/images/favicons/apple-touch-icon-114x114.png"> <link rel="apple-touch-icon" sizes="120x120" href="//a.academia-assets.com/images/favicons/apple-touch-icon-120x120.png"> <link rel="apple-touch-icon" sizes="144x144" href="//a.academia-assets.com/images/favicons/apple-touch-icon-144x144.png"> <link rel="apple-touch-icon" sizes="152x152" href="//a.academia-assets.com/images/favicons/apple-touch-icon-152x152.png"> <link rel="apple-touch-icon" sizes="180x180" href="//a.academia-assets.com/images/favicons/apple-touch-icon-180x180.png"> <link rel="icon" type="image/png" href="//a.academia-assets.com/images/favicons/favicon-32x32.png" sizes="32x32"> <link rel="icon" type="image/png" href="//a.academia-assets.com/images/favicons/favicon-194x194.png" sizes="194x194"> <link rel="icon" type="image/png" href="//a.academia-assets.com/images/favicons/favicon-96x96.png" sizes="96x96"> <link rel="icon" type="image/png" href="//a.academia-assets.com/images/favicons/android-chrome-192x192.png" sizes="192x192"> <link rel="icon" type="image/png" href="//a.academia-assets.com/images/favicons/favicon-16x16.png" sizes="16x16"> <link rel="manifest" href="//a.academia-assets.com/images/favicons/manifest.json"> <meta name="msapplication-TileColor" content="#2b5797"> <meta name="msapplication-TileImage" content="//a.academia-assets.com/images/favicons/mstile-144x144.png"> <meta name="theme-color" content="#ffffff"> <script> window.performance && window.performance.measure && window.performance.measure("Time To First Byte", "requestStart", "responseStart"); </script> <script> (function() { if (!window.URLSearchParams || !window.history || !window.history.replaceState) { return; } var searchParams = new URLSearchParams(window.location.search); var paramsToDelete = [ 'fs', 'sm', 'swp', 'iid', 'nbs', 'rcc', // related content category 'rcpos', // related content carousel position 'rcpg', // related carousel page 'rchid', // related content hit id 'f_ri', // research interest id, for SEO tracking 'f_fri', // featured research interest, for SEO tracking (param key without value) 'f_rid', // from research interest directory for SEO tracking 'f_loswp', // from research interest pills on LOSWP sidebar for SEO tracking 'rhid', // referrring hit id ]; if (paramsToDelete.every((key) => searchParams.get(key) === null)) { return; } paramsToDelete.forEach((key) => { searchParams.delete(key); }); var cleanUrl = new URL(window.location.href); cleanUrl.search = searchParams.toString(); history.replaceState({}, document.title, cleanUrl); })(); </script> <script async src="https://www.googletagmanager.com/gtag/js?id=G-5VKX33P2DS"></script> <script> window.dataLayer = window.dataLayer || []; function gtag(){dataLayer.push(arguments);} gtag('js', new Date()); gtag('config', 'G-5VKX33P2DS', { cookie_domain: 'academia.edu', send_page_view: false, }); gtag('event', 'page_view', { 'controller': "profiles/works", 'action': "summary", 'controller_action': 'profiles/works#summary', 'logged_in': 'false', 'edge': 'unknown', // Send nil if there is no A/B test bucket, in case some records get logged // with missing data - that way we can distinguish between the two cases. // ab_test_bucket should be of the form <ab_test_name>:<bucket> 'ab_test_bucket': null, }) </script> <script type="text/javascript"> window.sendUserTiming = function(timingName) { if (!(window.performance && window.performance.measure)) return; var entries = window.performance.getEntriesByName(timingName, "measure"); if (entries.length !== 1) return; var timingValue = Math.round(entries[0].duration); gtag('event', 'timing_complete', { name: timingName, value: timingValue, event_category: 'User-centric', }); }; window.sendUserTiming("Time To First Byte"); </script> <meta name="csrf-param" content="authenticity_token" /> <meta name="csrf-token" content="9/C/1J2OUggvx2LSDjSxveBATAcM29IScUsg/ahlsZhFQf0ZTjr2F5KuSkxcPm521eY+f3HS78/CxhVKrDpwog==" /> <link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/wow-77f7b87cb1583fc59aa8f94756ebfe913345937eb932042b4077563bebb5fb4b.css" /><link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/social/home-1c712297ae3ac71207193b1bae0ecf1aae125886850f62c9c0139dd867630797.css" /><link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/design_system/heading-b2b823dd904da60a48fd1bfa1defd840610c2ff414d3f39ed3af46277ab8df3b.css" /><link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/design_system/button-3cea6e0ad4715ed965c49bfb15dedfc632787b32ff6d8c3a474182b231146ab7.css" /><link crossorigin="" href="https://fonts.gstatic.com/" rel="preconnect" /><link href="https://fonts.googleapis.com/css2?family=DM+Sans:ital,opsz,wght@0,9..40,100..1000;1,9..40,100..1000&amp;family=Gupter:wght@400;500;700&amp;family=IBM+Plex+Mono:wght@300;400&amp;family=Material+Symbols+Outlined:opsz,wght,FILL,GRAD@20,400,0,0&amp;display=swap" rel="stylesheet" /><link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/design_system/common-10fa40af19d25203774df2d4a03b9b5771b45109c2304968038e88a81d1215c5.css" /> <meta name="author" content="saiful nizam tajuddin" /> <meta name="description" content="Saiful Nizam Tajuddin, Universiti Malaysia Pahang (UMP): 80 Followers, 2 Following, 26 Research papers. Research interests: Chemistry, Flavours and Fragrances,…" /> <meta name="google-site-verification" content="bKJMBZA7E43xhDOopFZkssMMkBRjvYERV-NaN4R6mrs" /> <script> var $controller_name = 'works'; var $action_name = "summary"; var $rails_env = 'production'; var $app_rev = '65a690de66ffd0e9f9c3f528feae2fde26a171eb'; var $domain = 'academia.edu'; var $app_host = "academia.edu"; var $asset_host = "academia-assets.com"; var $start_time = new Date().getTime(); var $recaptcha_key = "6LdxlRMTAAAAADnu_zyLhLg0YF9uACwz78shpjJB"; var $recaptcha_invisible_key = "6Lf3KHUUAAAAACggoMpmGJdQDtiyrjVlvGJ6BbAj"; var $disableClientRecordHit = false; </script> <script> window.Aedu = { hit_data: null }; window.Aedu.SiteStats = {"premium_universities_count":15272,"monthly_visitors":"113 million","monthly_visitor_count":113784677,"monthly_visitor_count_in_millions":113,"user_count":277455208,"paper_count":55203019,"paper_count_in_millions":55,"page_count":432000000,"page_count_in_millions":432,"pdf_count":16500000,"pdf_count_in_millions":16}; window.Aedu.serverRenderTime = new Date(1732716807000); window.Aedu.timeDifference = new Date().getTime() - 1732716807000; window.Aedu.isUsingCssV1 = false; window.Aedu.enableLocalization = true; window.Aedu.activateFullstory = false; window.Aedu.serviceAvailability = { status: {"attention_db":"on","bibliography_db":"on","contacts_db":"on","email_db":"on","indexability_db":"on","mentions_db":"on","news_db":"on","notifications_db":"on","offsite_mentions_db":"on","redshift":"on","redshift_exports_db":"on","related_works_db":"on","ring_db":"on","user_tests_db":"on"}, serviceEnabled: function(service) { return this.status[service] === "on"; }, readEnabled: function(service) { return this.serviceEnabled(service) || this.status[service] === "read_only"; }, }; window.Aedu.viewApmTrace = function() { // Check if x-apm-trace-id meta tag is set, and open the trace in APM // in a new window if it is. var apmTraceId = document.head.querySelector('meta[name="x-apm-trace-id"]'); if (apmTraceId) { var traceId = apmTraceId.content; // Use trace ID to construct URL, an example URL looks like: // https://app.datadoghq.com/apm/traces?query=trace_id%31298410148923562634 var apmUrl = 'https://app.datadoghq.com/apm/traces?query=trace_id%3A' + traceId; window.open(apmUrl, '_blank'); } }; </script> <!--[if lt IE 9]> <script src="//cdnjs.cloudflare.com/ajax/libs/html5shiv/3.7.2/html5shiv.min.js"></script> <![endif]--> <link href="https://fonts.googleapis.com/css?family=Roboto:100,100i,300,300i,400,400i,500,500i,700,700i,900,900i" rel="stylesheet"> <link href="//maxcdn.bootstrapcdn.com/font-awesome/4.3.0/css/font-awesome.min.css" rel="stylesheet"> <link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/libraries-a9675dcb01ec4ef6aa807ba772c7a5a00c1820d3ff661c1038a20f80d06bb4e4.css" /> <link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/academia-296162c7af6fd81dcdd76f1a94f1fad04fb5f647401337d136fe8b68742170b1.css" /> <link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/design_system_legacy-056a9113b9a0f5343d013b29ee1929d5a18be35fdcdceb616600b4db8bd20054.css" /> <script src="//a.academia-assets.com/assets/webpack_bundles/runtime-bundle-005434038af4252ca37c527588411a3d6a0eabb5f727fac83f8bbe7fd88d93bb.js"></script> <script src="//a.academia-assets.com/assets/webpack_bundles/webpack_libraries_and_infrequently_changed.wjs-bundle-abfe14709f87872daacfe98b00812033ac214684652bef9d49abfed8b549f9f6.js"></script> <script src="//a.academia-assets.com/assets/webpack_bundles/core_webpack.wjs-bundle-57c07c4415ad4e6a22ced3639e4df9a5401c1e44346ffeb379134e0f2293c589.js"></script> <script src="//a.academia-assets.com/assets/webpack_bundles/sentry.wjs-bundle-5fe03fddca915c8ba0f7edbe64c194308e8ce5abaed7bffe1255ff37549c4808.js"></script> <script> jade = window.jade || {}; jade.helpers = window.$h; jade._ = window._; </script> <!-- Google Tag Manager --> <script id="tag-manager-head-root">(function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start': new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0], j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src= 'https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f); })(window,document,'script','dataLayer_old','GTM-5G9JF7Z');</script> <!-- End Google Tag Manager --> <script> window.gptadslots = []; window.googletag = window.googletag || {}; window.googletag.cmd = window.googletag.cmd || []; </script> <script type="text/javascript"> // TODO(jacob): This should be defined, may be rare load order problem. // Checking if null is just a quick fix, will default to en if unset. // Better fix is to run this immedietely after I18n is set. if (window.I18n != null) { I18n.defaultLocale = "en"; I18n.locale = "en"; I18n.fallbacks = true; } </script> <link rel="canonical" href="https://ump.academia.edu/SaifulNizamTajuddin" /> </head> <!--[if gte IE 9 ]> <body class='ie ie9 c-profiles/works a-summary logged_out'> <![endif]--> <!--[if !(IE) ]><!--> <body class='c-profiles/works a-summary logged_out'> <!--<![endif]--> <div id="fb-root"></div><script>window.fbAsyncInit = function() { FB.init({ appId: "2369844204", version: "v8.0", status: true, cookie: true, xfbml: true }); // Additional initialization code. if (window.InitFacebook) { // facebook.ts already loaded, set it up. window.InitFacebook(); } else { // Set a flag for facebook.ts to find when it loads. window.academiaAuthReadyFacebook = true; } };</script><script>window.fbAsyncLoad = function() { // Protection against double calling of this function if (window.FB) { return; } (function(d, s, id){ var js, fjs = d.getElementsByTagName(s)[0]; if (d.getElementById(id)) {return;} js = d.createElement(s); js.id = id; js.src = "//connect.facebook.net/en_US/sdk.js"; fjs.parentNode.insertBefore(js, fjs); }(document, 'script', 'facebook-jssdk')); } if (!window.defer_facebook) { // Autoload if not deferred window.fbAsyncLoad(); } else { // Defer loading by 5 seconds setTimeout(function() { window.fbAsyncLoad(); }, 5000); }</script> <div id="google-root"></div><script>window.loadGoogle = function() { if (window.InitGoogle) { // google.ts already loaded, set it up. window.InitGoogle("331998490334-rsn3chp12mbkiqhl6e7lu2q0mlbu0f1b"); } else { // Set a flag for google.ts to use when it loads. window.GoogleClientID = "331998490334-rsn3chp12mbkiqhl6e7lu2q0mlbu0f1b"; } };</script><script>window.googleAsyncLoad = function() { // Protection against double calling of this function (function(d) { var js; var id = 'google-jssdk'; var ref = d.getElementsByTagName('script')[0]; if (d.getElementById(id)) { return; } js = d.createElement('script'); js.id = id; js.async = true; js.onload = loadGoogle; js.src = "https://accounts.google.com/gsi/client" ref.parentNode.insertBefore(js, ref); }(document)); } if (!window.defer_google) { // Autoload if not deferred window.googleAsyncLoad(); } else { // Defer loading by 5 seconds setTimeout(function() { window.googleAsyncLoad(); }, 5000); }</script> <div id="tag-manager-body-root"> <!-- Google Tag Manager (noscript) --> <noscript><iframe src="https://www.googletagmanager.com/ns.html?id=GTM-5G9JF7Z" height="0" width="0" style="display:none;visibility:hidden"></iframe></noscript> <!-- End Google Tag Manager (noscript) --> <!-- Event listeners for analytics --> <script> window.addEventListener('load', function() { if (document.querySelector('input[name="commit"]')) { document.querySelector('input[name="commit"]').addEventListener('click', function() { gtag('event', 'click', { event_category: 'button', event_label: 'Log In' }) }) } }); </script> </div> <script>var _comscore = _comscore || []; _comscore.push({ c1: "2", c2: "26766707" }); (function() { var s = document.createElement("script"), el = document.getElementsByTagName("script")[0]; s.async = true; s.src = (document.location.protocol == "https:" ? "https://sb" : "http://b") + ".scorecardresearch.com/beacon.js"; el.parentNode.insertBefore(s, el); })();</script><img src="https://sb.scorecardresearch.com/p?c1=2&amp;c2=26766707&amp;cv=2.0&amp;cj=1" style="position: absolute; visibility: hidden" /> <div id='react-modal'></div> <div class='DesignSystem'> <a class='u-showOnFocus' href='#site'> Skip to main content </a> </div> <div id="upgrade_ie_banner" style="display: none;"><p>Academia.edu no longer supports Internet Explorer.</p><p>To browse Academia.edu and the wider internet faster and more securely, please take a few seconds to&nbsp;<a href="https://www.academia.edu/upgrade-browser">upgrade your browser</a>.</p></div><script>// Show this banner for all versions of IE if (!!window.MSInputMethodContext || /(MSIE)/.test(navigator.userAgent)) { document.getElementById('upgrade_ie_banner').style.display = 'block'; }</script> <div class="DesignSystem bootstrap ShrinkableNav"><div class="navbar navbar-default main-header"><div class="container-wrapper" id="main-header-container"><div class="container"><div class="navbar-header"><div class="nav-left-wrapper u-mt0x"><div class="nav-logo"><a data-main-header-link-target="logo_home" href="https://www.academia.edu/"><img class="visible-xs-inline-block" style="height: 24px;" alt="Academia.edu" src="//a.academia-assets.com/images/academia-logo-redesign-2015-A.svg" width="24" height="24" /><img width="145.2" height="18" class="hidden-xs" style="height: 24px;" alt="Academia.edu" src="//a.academia-assets.com/images/academia-logo-redesign-2015.svg" /></a></div><div class="nav-search"><div class="SiteSearch-wrapper select2-no-default-pills"><form class="js-SiteSearch-form DesignSystem" action="https://www.academia.edu/search" accept-charset="UTF-8" method="get"><input name="utf8" type="hidden" value="&#x2713;" autocomplete="off" /><i class="SiteSearch-icon fa fa-search u-fw700 u-positionAbsolute u-tcGrayDark"></i><input class="js-SiteSearch-form-input SiteSearch-form-input form-control" data-main-header-click-target="search_input" name="q" placeholder="Search" type="text" value="" /></form></div></div></div><div class="nav-right-wrapper pull-right"><ul class="NavLinks js-main-nav list-unstyled"><li class="NavLinks-link"><a class="js-header-login-url Button Button--inverseGray Button--sm u-mb4x" id="nav_log_in" rel="nofollow" href="https://www.academia.edu/login">Log In</a></li><li class="NavLinks-link u-p0x"><a class="Button Button--inverseGray Button--sm u-mb4x" rel="nofollow" href="https://www.academia.edu/signup">Sign Up</a></li></ul><button class="hidden-lg hidden-md hidden-sm u-ml4x navbar-toggle collapsed" data-target=".js-mobile-header-links" data-toggle="collapse" type="button"><span class="icon-bar"></span><span class="icon-bar"></span><span class="icon-bar"></span></button></div></div><div class="collapse navbar-collapse js-mobile-header-links"><ul class="nav navbar-nav"><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/login">Log In</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/signup">Sign Up</a></li><li class="u-borderColorGrayLight u-borderBottom1 js-mobile-nav-expand-trigger"><a href="#">more&nbsp<span class="caret"></span></a></li><li><ul class="js-mobile-nav-expand-section nav navbar-nav u-m0x collapse"><li class="u-borderColorGrayLight u-borderBottom1"><a rel="false" href="https://www.academia.edu/about">About</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/press">Press</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://medium.com/@academia">Blog</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="false" href="https://www.academia.edu/documents">Papers</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/terms">Terms</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/privacy">Privacy</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/copyright">Copyright</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/hiring"><i class="fa fa-briefcase"></i>&nbsp;We're Hiring!</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://support.academia.edu/"><i class="fa fa-question-circle"></i>&nbsp;Help Center</a></li><li class="js-mobile-nav-collapse-trigger u-borderColorGrayLight u-borderBottom1 dropup" style="display:none"><a href="#">less&nbsp<span class="caret"></span></a></li></ul></li></ul></div></div></div><script>(function(){ var $moreLink = $(".js-mobile-nav-expand-trigger"); var $lessLink = $(".js-mobile-nav-collapse-trigger"); var $section = $('.js-mobile-nav-expand-section'); $moreLink.click(function(ev){ ev.preventDefault(); $moreLink.hide(); $lessLink.show(); $section.collapse('show'); }); $lessLink.click(function(ev){ ev.preventDefault(); $moreLink.show(); $lessLink.hide(); $section.collapse('hide'); }); })() if ($a.is_logged_in() || false) { new Aedu.NavigationController({ el: '.js-main-nav', showHighlightedNotification: false }); } else { $(".js-header-login-url").attr("href", $a.loginUrlWithRedirect()); } Aedu.autocompleteSearch = new AutocompleteSearch({el: '.js-SiteSearch-form'});</script></div></div> <div id='site' class='fixed'> <div id="content" class="clearfix"> <script>document.addEventListener('DOMContentLoaded', function(){ var $dismissible = $(".dismissible_banner"); $dismissible.click(function(ev) { $dismissible.hide(); }); });</script> <script src="//a.academia-assets.com/assets/webpack_bundles/profile.wjs-bundle-b83a2fd9dd2a75882a43a58ee3160b1ab3b6f66ac7d1ef9248d5ee4c09cebaae.js" defer="defer"></script><script>Aedu.rankings = { showPaperRankingsLink: false } $viewedUser = Aedu.User.set_viewed( {"id":44246,"first_name":"Saiful Nizam","middle_initials":null,"last_name":"Tajuddin","page_name":"SaifulNizamTajuddin","domain_name":"ump","created_at":"2009-05-20T16:06:27.322-07:00","display_name":"Saiful Nizam Tajuddin","url":"https://ump.academia.edu/SaifulNizamTajuddin","photo":"https://0.academia-photos.com/44246/3263179/3839907/s65_saiful_nizam.tajuddin.jpg","has_photo":true,"department":{"id":29396,"name":"Faculty of Industrial Sciences \u0026 Technology (FIST)","url":"https://ump.academia.edu/Departments/Faculty_of_Industrial_Sciences_Technology_FIST_/Documents","university":{"id":3995,"name":"Universiti Malaysia Pahang (UMP)","url":"https://ump.academia.edu/"}},"position":"Faculty Member","position_id":1,"is_analytics_public":true,"interests":[{"id":523,"name":"Chemistry","url":"https://www.academia.edu/Documents/in/Chemistry"},{"id":510521,"name":"Flavours and Fragrances","url":"https://www.academia.edu/Documents/in/Flavours_and_Fragrances"},{"id":4656,"name":"Chromatography","url":"https://www.academia.edu/Documents/in/Chromatography"},{"id":5427,"name":"Spectroscopy","url":"https://www.academia.edu/Documents/in/Spectroscopy"}]} ); if ($a.is_logged_in() && $viewedUser.is_current_user()) { $('body').addClass('profile-viewed-by-owner'); } $socialProfiles = []</script><div id="js-react-on-rails-context" style="display:none" data-rails-context="{&quot;inMailer&quot;:false,&quot;i18nLocale&quot;:&quot;en&quot;,&quot;i18nDefaultLocale&quot;:&quot;en&quot;,&quot;href&quot;:&quot;https://ump.academia.edu/SaifulNizamTajuddin&quot;,&quot;location&quot;:&quot;/SaifulNizamTajuddin&quot;,&quot;scheme&quot;:&quot;https&quot;,&quot;host&quot;:&quot;ump.academia.edu&quot;,&quot;port&quot;:null,&quot;pathname&quot;:&quot;/SaifulNizamTajuddin&quot;,&quot;search&quot;:null,&quot;httpAcceptLanguage&quot;:null,&quot;serverSide&quot;:false}"></div> <div class="js-react-on-rails-component" style="display:none" data-component-name="ProfileCheckPaperUpdate" data-props="{}" data-trace="false" data-dom-id="ProfileCheckPaperUpdate-react-component-8e44b5e0-99c6-475a-b388-2ead3ca4cc7f"></div> <div id="ProfileCheckPaperUpdate-react-component-8e44b5e0-99c6-475a-b388-2ead3ca4cc7f"></div> <div class="DesignSystem"><div class="onsite-ping" id="onsite-ping"></div></div><div class="profile-user-info DesignSystem"><div class="social-profile-container"><div class="left-panel-container"><div class="user-info-component-wrapper"><div class="user-summary-cta-container"><div class="user-summary-container"><div class="social-profile-avatar-container"><img class="profile-avatar u-positionAbsolute" alt="Saiful Nizam Tajuddin" border="0" onerror="if (this.src != &#39;//a.academia-assets.com/images/s200_no_pic.png&#39;) this.src = &#39;//a.academia-assets.com/images/s200_no_pic.png&#39;;" width="200" height="200" src="https://0.academia-photos.com/44246/3263179/3839907/s200_saiful_nizam.tajuddin.jpg" /></div><div class="title-container"><h1 class="ds2-5-heading-sans-serif-sm">Saiful Nizam Tajuddin</h1><div class="affiliations-container fake-truncate js-profile-affiliations"><div><a class="u-tcGrayDarker" href="https://ump.academia.edu/">Universiti Malaysia Pahang (UMP)</a>, <a class="u-tcGrayDarker" href="https://ump.academia.edu/Departments/Faculty_of_Industrial_Sciences_Technology_FIST_/Documents">Faculty of Industrial Sciences &amp; Technology (FIST)</a>, <span class="u-tcGrayDarker">Faculty Member</span></div></div></div></div><div class="sidebar-cta-container"><button class="ds2-5-button hidden profile-cta-button grow js-profile-follow-button" data-broccoli-component="user-info.follow-button" data-click-track="profile-user-info-follow-button" data-follow-user-fname="Saiful Nizam" data-follow-user-id="44246" data-follow-user-source="profile_button" data-has-google="false"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">add</span>Follow</button><button class="ds2-5-button hidden profile-cta-button grow js-profile-unfollow-button" data-broccoli-component="user-info.unfollow-button" data-click-track="profile-user-info-unfollow-button" data-unfollow-user-id="44246"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">done</span>Following</button></div></div><div class="user-stats-container"><a><div class="stat-container js-profile-followers"><p class="label">Followers</p><p class="data">80</p></div></a><a><div class="stat-container js-profile-followees" data-broccoli-component="user-info.followees-count" data-click-track="profile-expand-user-info-following"><p class="label">Following</p><p class="data">2</p></div></a><a><div class="stat-container js-profile-coauthors" data-broccoli-component="user-info.coauthors-count" data-click-track="profile-expand-user-info-coauthors"><p class="label">Co-author</p><p class="data">1</p></div></a><a href="https://ump.academia.edu/SaifulNizamTajuddin/Analytics"><div class="stat-container"><p class="label"><span class="js-profile-total-view-text">Public Views</span></p><p class="data"><span class="js-profile-view-count"></span></p></div></a></div><div class="ri-section"><div class="ri-section-header"><span>Interests</span></div><div class="ri-tags-container"><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="44246" href="https://www.academia.edu/Documents/in/Chemistry"><div id="js-react-on-rails-context" style="display:none" data-rails-context="{&quot;inMailer&quot;:false,&quot;i18nLocale&quot;:&quot;en&quot;,&quot;i18nDefaultLocale&quot;:&quot;en&quot;,&quot;href&quot;:&quot;https://ump.academia.edu/SaifulNizamTajuddin&quot;,&quot;location&quot;:&quot;/SaifulNizamTajuddin&quot;,&quot;scheme&quot;:&quot;https&quot;,&quot;host&quot;:&quot;ump.academia.edu&quot;,&quot;port&quot;:null,&quot;pathname&quot;:&quot;/SaifulNizamTajuddin&quot;,&quot;search&quot;:null,&quot;httpAcceptLanguage&quot;:null,&quot;serverSide&quot;:false}"></div> <div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{&quot;color&quot;:&quot;gray&quot;,&quot;children&quot;:[&quot;Chemistry&quot;]}" data-trace="false" data-dom-id="Pill-react-component-ece633f1-5a40-45b0-ac05-b0d9f62b9c21"></div> <div id="Pill-react-component-ece633f1-5a40-45b0-ac05-b0d9f62b9c21"></div> </a><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="44246" href="https://www.academia.edu/Documents/in/Flavours_and_Fragrances"><div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{&quot;color&quot;:&quot;gray&quot;,&quot;children&quot;:[&quot;Flavours and Fragrances&quot;]}" data-trace="false" data-dom-id="Pill-react-component-b22f0c7f-6b24-4cbf-ae19-7f51a4c7f07f"></div> <div id="Pill-react-component-b22f0c7f-6b24-4cbf-ae19-7f51a4c7f07f"></div> </a><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="44246" href="https://www.academia.edu/Documents/in/Chromatography"><div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{&quot;color&quot;:&quot;gray&quot;,&quot;children&quot;:[&quot;Chromatography&quot;]}" data-trace="false" data-dom-id="Pill-react-component-ecdd5069-f156-4be6-a948-66171e92b6ed"></div> <div id="Pill-react-component-ecdd5069-f156-4be6-a948-66171e92b6ed"></div> </a><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="44246" href="https://www.academia.edu/Documents/in/Spectroscopy"><div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{&quot;color&quot;:&quot;gray&quot;,&quot;children&quot;:[&quot;Spectroscopy&quot;]}" data-trace="false" data-dom-id="Pill-react-component-a80eef95-61e9-4ad8-885b-b5dfb990ab3e"></div> <div id="Pill-react-component-a80eef95-61e9-4ad8-885b-b5dfb990ab3e"></div> </a></div></div></div></div><div class="right-panel-container"><div class="user-content-wrapper"><div class="uploads-container" id="social-redesign-work-container"><div class="upload-header"><h2 class="ds2-5-heading-sans-serif-xs">Uploads</h2></div><div class="documents-container backbone-social-profile-documents" style="width: 100%;"><div class="u-taCenter"></div><div class="profile--tab_content_container js-tab-pane tab-pane active" id="all"><div class="profile--tab_heading_container js-section-heading" data-section="Papers" id="Papers"><h3 class="profile--tab_heading_container">Papers by Saiful Nizam Tajuddin</h3></div><div class="js-work-strip profile--work_container" data-work-id="82652903"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/82652903/Comparison_of_Different_Kernel_Parameters_using_Support_Vector_Machine_for_Agarwood_Oil_Grading"><img alt="Research paper thumbnail of Comparison of Different Kernel Parameters using Support Vector Machine for Agarwood Oil Grading" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/82652903/Comparison_of_Different_Kernel_Parameters_using_Support_Vector_Machine_for_Agarwood_Oil_Grading">Comparison of Different Kernel Parameters using Support Vector Machine for Agarwood Oil Grading</a></div><div class="wp-workCard_item"><span>2021 IEEE International Conference on Automatic Control &amp;amp; Intelligent Systems (I2CACIS)</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">These days, agarwood oil becoming a high demand throughout the world and Malaysia is not excluded...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">These days, agarwood oil becoming a high demand throughout the world and Malaysia is not excluded. It happens due to the variety of usages such as incense, traditional medicine, and perfumes. However, there has been a lack of research on the development of agarwood oil because there is no any standard grading method of agarwood oil was implemented. As a solution forms, it is very important to come out with a standard method of quality classification for agarwood oil grading’s. By continuing of the research for the development of this standard, the comparison of different type of kernel parameter on nonlinear data based on performance measure has been the main objective of this paper. Support Vector Machine (SVM) has been selected as intelligent technique to comparing the output of different type of kernel parameter used. The analysis work has involving the data taken from the previous researcher that consists of two classes of agarwood oil quality’s samples which is high and low quality. For the output of this research was the classification of two different quality while the input was the different percentage of the compounds added. The desk research has been conducted by using a software application named MATLAB with version R2016a. The research indicates that each of different kernel parameter used have pass the performance measures standard. The verdict in this research for sure will be valuable for the future research works of agarwood oil areas, especially quality classification part.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82652903"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82652903"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82652903; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=82652903]").text(description); $(".js-view-count[data-work-id=82652903]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 82652903; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='82652903']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 82652903, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=82652903]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":82652903,"title":"Comparison of Different Kernel Parameters using Support Vector Machine for Agarwood Oil Grading","translated_title":"","metadata":{"abstract":"These days, agarwood oil becoming a high demand throughout the world and Malaysia is not excluded. It happens due to the variety of usages such as incense, traditional medicine, and perfumes. However, there has been a lack of research on the development of agarwood oil because there is no any standard grading method of agarwood oil was implemented. As a solution forms, it is very important to come out with a standard method of quality classification for agarwood oil grading’s. By continuing of the research for the development of this standard, the comparison of different type of kernel parameter on nonlinear data based on performance measure has been the main objective of this paper. Support Vector Machine (SVM) has been selected as intelligent technique to comparing the output of different type of kernel parameter used. The analysis work has involving the data taken from the previous researcher that consists of two classes of agarwood oil quality’s samples which is high and low quality. For the output of this research was the classification of two different quality while the input was the different percentage of the compounds added. The desk research has been conducted by using a software application named MATLAB with version R2016a. The research indicates that each of different kernel parameter used have pass the performance measures standard. The verdict in this research for sure will be valuable for the future research works of agarwood oil areas, especially quality classification part.","publisher":"IEEE","publication_name":"2021 IEEE International Conference on Automatic Control \u0026amp; Intelligent Systems (I2CACIS)"},"translated_abstract":"These days, agarwood oil becoming a high demand throughout the world and Malaysia is not excluded. It happens due to the variety of usages such as incense, traditional medicine, and perfumes. However, there has been a lack of research on the development of agarwood oil because there is no any standard grading method of agarwood oil was implemented. As a solution forms, it is very important to come out with a standard method of quality classification for agarwood oil grading’s. By continuing of the research for the development of this standard, the comparison of different type of kernel parameter on nonlinear data based on performance measure has been the main objective of this paper. Support Vector Machine (SVM) has been selected as intelligent technique to comparing the output of different type of kernel parameter used. The analysis work has involving the data taken from the previous researcher that consists of two classes of agarwood oil quality’s samples which is high and low quality. For the output of this research was the classification of two different quality while the input was the different percentage of the compounds added. The desk research has been conducted by using a software application named MATLAB with version R2016a. The research indicates that each of different kernel parameter used have pass the performance measures standard. The verdict in this research for sure will be valuable for the future research works of agarwood oil areas, especially quality classification part.","internal_url":"https://www.academia.edu/82652903/Comparison_of_Different_Kernel_Parameters_using_Support_Vector_Machine_for_Agarwood_Oil_Grading","translated_internal_url":"","created_at":"2022-07-05T09:58:13.199-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":44246,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Comparison_of_Different_Kernel_Parameters_using_Support_Vector_Machine_for_Agarwood_Oil_Grading","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":44246,"first_name":"Saiful Nizam","middle_initials":null,"last_name":"Tajuddin","page_name":"SaifulNizamTajuddin","domain_name":"ump","created_at":"2009-05-20T16:06:27.322-07:00","display_name":"Saiful Nizam Tajuddin","url":"https://ump.academia.edu/SaifulNizamTajuddin"},"attachments":[],"research_interests":[{"id":191289,"name":"Support vector machine","url":"https://www.academia.edu/Documents/in/Support_vector_machine"}],"urls":[{"id":21944617,"url":"http://xplorestaging.ieee.org/ielx7/9495828/9495325/09495869.pdf?arnumber=9495869"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="82652896"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/82652896/k_nearest_neighbor_modelling_of_agarwood_oil_samples_available_in_capital_of_Malaysia_market"><img alt="Research paper thumbnail of k-nearest neighbor modelling of agarwood oil samples available in capital of Malaysia market" class="work-thumbnail" src="https://attachments.academia-assets.com/88288902/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/82652896/k_nearest_neighbor_modelling_of_agarwood_oil_samples_available_in_capital_of_Malaysia_market">k-nearest neighbor modelling of agarwood oil samples available in capital of Malaysia market</a></div><div class="wp-workCard_item"><span>International Journal of Electrical and Computer Engineering (IJECE)</span><span>, 2022</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Agarwood oil is consumed during traditional ceremonies and even in medicinal purposes due to its ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Agarwood oil is consumed during traditional ceremonies and even in medicinal purposes due to its effective therapeutic characteristic. As a part of ongoing research on agarwood oil, this paper presented a k-nearest neighbor (k-NN) modelling of agarwood oil samples available in the capital of Malaysia market. The work involved agarwood oil samples from three sources which are lab, local manufacturer and market. The inputs are the chemical compounds and the output is the oil’s resources. The input-output was divided into training and testing dataset with the ratio of 80% to 20%, respectively, before they were fed to the k-NN for model development as well as model validation. During the model development, the k-value was varied from 1 to 5, and their accuracy was observed. The result showed that the k=1 and k=2 shared the similar accuracy for training and testing datasets, which are 98.63% and 100.00%, respectively. This study revealed the capabilities of the k-NN model in classifying ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="5ab8454c215b04c80978f7ceb8a318a5" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{&quot;attachment_id&quot;:88288902,&quot;asset_id&quot;:82652896,&quot;asset_type&quot;:&quot;Work&quot;,&quot;button_location&quot;:&quot;profile&quot;}" href="https://www.academia.edu/attachments/88288902/download_file?st=MTczMjcxNjgwNSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82652896"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82652896"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82652896; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=82652896]").text(description); $(".js-view-count[data-work-id=82652896]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 82652896; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='82652896']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 82652896, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "5ab8454c215b04c80978f7ceb8a318a5" } } $('.js-work-strip[data-work-id=82652896]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":82652896,"title":"k-nearest neighbor modelling of agarwood oil samples available in capital of Malaysia market","translated_title":"","metadata":{"abstract":"Agarwood oil is consumed during traditional ceremonies and even in medicinal purposes due to its effective therapeutic characteristic. As a part of ongoing research on agarwood oil, this paper presented a k-nearest neighbor (k-NN) modelling of agarwood oil samples available in the capital of Malaysia market. The work involved agarwood oil samples from three sources which are lab, local manufacturer and market. The inputs are the chemical compounds and the output is the oil’s resources. The input-output was divided into training and testing dataset with the ratio of 80% to 20%, respectively, before they were fed to the k-NN for model development as well as model validation. During the model development, the k-value was varied from 1 to 5, and their accuracy was observed. The result showed that the k=1 and k=2 shared the similar accuracy for training and testing datasets, which are 98.63% and 100.00%, respectively. This study revealed the capabilities of the k-NN model in classifying ...","publisher":"Institute of Advanced Engineering and Science","ai_title_tag":"k-NN Classification of Agarwood Oil Samples in Malaysia","publication_date":{"day":null,"month":null,"year":2022,"errors":{}},"publication_name":"International Journal of Electrical and Computer Engineering (IJECE)"},"translated_abstract":"Agarwood oil is consumed during traditional ceremonies and even in medicinal purposes due to its effective therapeutic characteristic. As a part of ongoing research on agarwood oil, this paper presented a k-nearest neighbor (k-NN) modelling of agarwood oil samples available in the capital of Malaysia market. The work involved agarwood oil samples from three sources which are lab, local manufacturer and market. The inputs are the chemical compounds and the output is the oil’s resources. The input-output was divided into training and testing dataset with the ratio of 80% to 20%, respectively, before they were fed to the k-NN for model development as well as model validation. During the model development, the k-value was varied from 1 to 5, and their accuracy was observed. The result showed that the k=1 and k=2 shared the similar accuracy for training and testing datasets, which are 98.63% and 100.00%, respectively. This study revealed the capabilities of the k-NN model in classifying ...","internal_url":"https://www.academia.edu/82652896/k_nearest_neighbor_modelling_of_agarwood_oil_samples_available_in_capital_of_Malaysia_market","translated_internal_url":"","created_at":"2022-07-05T09:58:11.488-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":44246,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":88288902,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88288902/thumbnails/1.jpg","file_name":"15730.pdf","download_url":"https://www.academia.edu/attachments/88288902/download_file?st=MTczMjcxNjgwNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"k_nearest_neighbor_modelling_of_agarwood.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88288902/15730-libre.pdf?1657042916=\u0026response-content-disposition=attachment%3B+filename%3Dk_nearest_neighbor_modelling_of_agarwood.pdf\u0026Expires=1732720405\u0026Signature=g9feC-zZm-z8onKSCxUhjgs3O52ckD4ft~jrqIbrWCiyQsW~aAbHfRvRXm0vAFTys3n9gze28JgF2C2byeaNx-U9BMr09Sx7oLFYb4oLA4f9HUU53aXpBTEx-xVVb3QQ1Q58Rr6XAUqAeWNrH9qxtm5BKHc2S20k8Q7IfwatjxaGlVKEQqKNr67hhTcS5FsSs2jedMLraRQxZX9swKw9kQK72ftV8jAc9vy~96LUvZi6WFlAU34lSkBtmUTSRrMEDKGlJdb2eT6S9PyVlwlxC35FO2emO8RhpwI6bd7Tor~Edh0qeSk9iRYW0el0bmbNWQISoA4PN200-c98flJXUA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"k_nearest_neighbor_modelling_of_agarwood_oil_samples_available_in_capital_of_Malaysia_market","translated_slug":"","page_count":8,"language":"en","content_type":"Work","owner":{"id":44246,"first_name":"Saiful Nizam","middle_initials":null,"last_name":"Tajuddin","page_name":"SaifulNizamTajuddin","domain_name":"ump","created_at":"2009-05-20T16:06:27.322-07:00","display_name":"Saiful Nizam Tajuddin","url":"https://ump.academia.edu/SaifulNizamTajuddin"},"attachments":[{"id":88288902,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88288902/thumbnails/1.jpg","file_name":"15730.pdf","download_url":"https://www.academia.edu/attachments/88288902/download_file?st=MTczMjcxNjgwNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"k_nearest_neighbor_modelling_of_agarwood.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88288902/15730-libre.pdf?1657042916=\u0026response-content-disposition=attachment%3B+filename%3Dk_nearest_neighbor_modelling_of_agarwood.pdf\u0026Expires=1732720405\u0026Signature=g9feC-zZm-z8onKSCxUhjgs3O52ckD4ft~jrqIbrWCiyQsW~aAbHfRvRXm0vAFTys3n9gze28JgF2C2byeaNx-U9BMr09Sx7oLFYb4oLA4f9HUU53aXpBTEx-xVVb3QQ1Q58Rr6XAUqAeWNrH9qxtm5BKHc2S20k8Q7IfwatjxaGlVKEQqKNr67hhTcS5FsSs2jedMLraRQxZX9swKw9kQK72ftV8jAc9vy~96LUvZi6WFlAU34lSkBtmUTSRrMEDKGlJdb2eT6S9PyVlwlxC35FO2emO8RhpwI6bd7Tor~Edh0qeSk9iRYW0el0bmbNWQISoA4PN200-c98flJXUA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":88288900,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88288900/thumbnails/1.jpg","file_name":"15730.pdf","download_url":"https://www.academia.edu/attachments/88288900/download_file","bulk_download_file_name":"k_nearest_neighbor_modelling_of_agarwood.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88288900/15730-libre.pdf?1657042915=\u0026response-content-disposition=attachment%3B+filename%3Dk_nearest_neighbor_modelling_of_agarwood.pdf\u0026Expires=1732720405\u0026Signature=gGz2pJZtDzwwZsIf~Q-~Xp4O5CvFJVDv9NDIriIUcdootfs0uEacCYghs0xcwsuIZCEoPN7v~OjSfIiTUMhG1~N07is15H2nFYQkLO8SmPqx~7GyKUawpnO1mZIcZH7TkzgLt9g8KAg17nANYxHSH9x9Cog4HZFZ1pVGm8V4WbOX9Xli0Z12z08MdBZhG5g1FlpdsgXPXlFE~CJ-8rQdpMWuJbwhAYxnxjHGponKP05zSb~gaPx0LgvQheWOj2J3BZAnDbKkbbhvkj4ch0dMS64nJkc9P6e-9Dz-YfLwhZOcoJCjYMUyJjgjtacr6JWtws8quESIYSR87~h-z52tCw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":2008,"name":"Machine Learning","url":"https://www.academia.edu/Documents/in/Machine_Learning"},{"id":106145,"name":"Classification","url":"https://www.academia.edu/Documents/in/Classification"},{"id":559503,"name":"Machine Learning Big Data","url":"https://www.academia.edu/Documents/in/Machine_Learning_Big_Data"}],"urls":[{"id":21944615,"url":"http://ijece.iaescore.com/index.php/IJECE/article/viewFile/26013/15730"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="82652889"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/82652889/Perbezaan_kualiti_minyak_gaharu_menggunakan_rangkaian_neural_Tiruan"><img alt="Research paper thumbnail of Perbezaan kualiti minyak gaharu menggunakan rangkaian neural Tiruan" class="work-thumbnail" src="https://attachments.academia-assets.com/88288894/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/82652889/Perbezaan_kualiti_minyak_gaharu_menggunakan_rangkaian_neural_Tiruan">Perbezaan kualiti minyak gaharu menggunakan rangkaian neural Tiruan</a></div><div class="wp-workCard_item"><span>The Malaysian Journal of Analytical Sciences</span><span>, 2013</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Agarwood oil is well known as expensive oil extracted from the resinous of fragrant heartwood. Th...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Agarwood oil is well known as expensive oil extracted from the resinous of fragrant heartwood. The oil is getting high demand in the market especially from the Middle East countries, China and Japan because of its unique odor. As part of an on-going research in grading the agarwood oil quality, the application of Artificial Neural Network (ANN) is proposed in this study to analyze agarwood oil quality using its chemical profiles. The work involves of selected agarwood oil from low and high quality, the extraction of chemical compounds using GC-MS and Z-score to identify of the significant compounds as input to the network. The ANN programming algorithm was developed and computed automatically via Matlab software version R2010a. Back-propagation training algorithm and sigmoid transfer function were used to optimize the parameters in the training network. The result obtained showed the capability of ANN in analyzing the agarwood oil quality hence beneficial for the further application...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="3c7ea08f5a13ae4eff67f28b4af8350c" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{&quot;attachment_id&quot;:88288894,&quot;asset_id&quot;:82652889,&quot;asset_type&quot;:&quot;Work&quot;,&quot;button_location&quot;:&quot;profile&quot;}" href="https://www.academia.edu/attachments/88288894/download_file?st=MTczMjcxNjgwNSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82652889"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82652889"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82652889; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=82652889]").text(description); $(".js-view-count[data-work-id=82652889]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 82652889; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='82652889']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 82652889, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "3c7ea08f5a13ae4eff67f28b4af8350c" } } $('.js-work-strip[data-work-id=82652889]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":82652889,"title":"Perbezaan kualiti minyak gaharu menggunakan rangkaian neural Tiruan","translated_title":"","metadata":{"abstract":"Agarwood oil is well known as expensive oil extracted from the resinous of fragrant heartwood. The oil is getting high demand in the market especially from the Middle East countries, China and Japan because of its unique odor. As part of an on-going research in grading the agarwood oil quality, the application of Artificial Neural Network (ANN) is proposed in this study to analyze agarwood oil quality using its chemical profiles. The work involves of selected agarwood oil from low and high quality, the extraction of chemical compounds using GC-MS and Z-score to identify of the significant compounds as input to the network. The ANN programming algorithm was developed and computed automatically via Matlab software version R2010a. Back-propagation training algorithm and sigmoid transfer function were used to optimize the parameters in the training network. The result obtained showed the capability of ANN in analyzing the agarwood oil quality hence beneficial for the further application...","publication_date":{"day":null,"month":null,"year":2013,"errors":{}},"publication_name":"The Malaysian Journal of Analytical Sciences"},"translated_abstract":"Agarwood oil is well known as expensive oil extracted from the resinous of fragrant heartwood. The oil is getting high demand in the market especially from the Middle East countries, China and Japan because of its unique odor. As part of an on-going research in grading the agarwood oil quality, the application of Artificial Neural Network (ANN) is proposed in this study to analyze agarwood oil quality using its chemical profiles. The work involves of selected agarwood oil from low and high quality, the extraction of chemical compounds using GC-MS and Z-score to identify of the significant compounds as input to the network. The ANN programming algorithm was developed and computed automatically via Matlab software version R2010a. Back-propagation training algorithm and sigmoid transfer function were used to optimize the parameters in the training network. The result obtained showed the capability of ANN in analyzing the agarwood oil quality hence beneficial for the further application...","internal_url":"https://www.academia.edu/82652889/Perbezaan_kualiti_minyak_gaharu_menggunakan_rangkaian_neural_Tiruan","translated_internal_url":"","created_at":"2022-07-05T09:58:09.477-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":44246,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":88288894,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88288894/thumbnails/1.jpg","file_name":"Nor_20Azah.pdf","download_url":"https://www.academia.edu/attachments/88288894/download_file?st=MTczMjcxNjgwNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Perbezaan_kualiti_minyak_gaharu_mengguna.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88288894/Nor_20Azah-libre.pdf?1657042918=\u0026response-content-disposition=attachment%3B+filename%3DPerbezaan_kualiti_minyak_gaharu_mengguna.pdf\u0026Expires=1732720405\u0026Signature=CxPpA5cgJCft4UGa3xFFPN42~kpjrl9ljlV6SzJhtloiq~EzqbrOlgwSOQL6xyf6Jt3DN-Oc88w-ccKqmPxE28C23Y9hQSwrKcowuvhF~8mi7SiqdOpbOaHZvF0FOcRPQKRCFrKCmGa4FkwjXvaJmDTCcL9dXXyw7obkS8PaG8fIaSnULkwH-8g17sk~-cGau0siTkACLtNiCAKUGNhuslMKt5qeECjl5NtKFlLXJakC9dOEiOABleRCNTLWhSM~C~Zhx0u4flIb9RtGQR6N2cX39-WSJC69RR0y12mDz-vvXBQ2SsdQthA8wqekLQB6AHKGMxdIbknnu~FtOYuNDA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Perbezaan_kualiti_minyak_gaharu_menggunakan_rangkaian_neural_Tiruan","translated_slug":"","page_count":9,"language":"en","content_type":"Work","owner":{"id":44246,"first_name":"Saiful Nizam","middle_initials":null,"last_name":"Tajuddin","page_name":"SaifulNizamTajuddin","domain_name":"ump","created_at":"2009-05-20T16:06:27.322-07:00","display_name":"Saiful Nizam Tajuddin","url":"https://ump.academia.edu/SaifulNizamTajuddin"},"attachments":[{"id":88288894,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88288894/thumbnails/1.jpg","file_name":"Nor_20Azah.pdf","download_url":"https://www.academia.edu/attachments/88288894/download_file?st=MTczMjcxNjgwNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Perbezaan_kualiti_minyak_gaharu_mengguna.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88288894/Nor_20Azah-libre.pdf?1657042918=\u0026response-content-disposition=attachment%3B+filename%3DPerbezaan_kualiti_minyak_gaharu_mengguna.pdf\u0026Expires=1732720405\u0026Signature=CxPpA5cgJCft4UGa3xFFPN42~kpjrl9ljlV6SzJhtloiq~EzqbrOlgwSOQL6xyf6Jt3DN-Oc88w-ccKqmPxE28C23Y9hQSwrKcowuvhF~8mi7SiqdOpbOaHZvF0FOcRPQKRCFrKCmGa4FkwjXvaJmDTCcL9dXXyw7obkS8PaG8fIaSnULkwH-8g17sk~-cGau0siTkACLtNiCAKUGNhuslMKt5qeECjl5NtKFlLXJakC9dOEiOABleRCNTLWhSM~C~Zhx0u4flIb9RtGQR6N2cX39-WSJC69RR0y12mDz-vvXBQ2SsdQthA8wqekLQB6AHKGMxdIbknnu~FtOYuNDA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":300,"name":"Mathematics","url":"https://www.academia.edu/Documents/in/Mathematics"},{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science"}],"urls":[{"id":21944609,"url":"http://www.ukm.my/mjas/v17_n3/Nor%20Azah.pdf"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="82652879"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/82652879/Agarwood_Essential_Oil_Study_on_Optimum_Parameter_and_Chemical_Compounds_of_Hydrodistillation_Extraction"><img alt="Research paper thumbnail of Agarwood Essential Oil: Study on Optimum Parameter and Chemical Compounds of Hydrodistillation Extraction" class="work-thumbnail" src="https://attachments.academia-assets.com/88288888/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/82652879/Agarwood_Essential_Oil_Study_on_Optimum_Parameter_and_Chemical_Compounds_of_Hydrodistillation_Extraction">Agarwood Essential Oil: Study on Optimum Parameter and Chemical Compounds of Hydrodistillation Extraction</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">A B S T R A C T Agarwood tree is one of source resin production and known as fragrant wood that h...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">A B S T R A C T Agarwood tree is one of source resin production and known as fragrant wood that have a highly valuable product in the global market. However, the process of hydrodistillation efficiency is far from sufficient and affecting to the lower product quality and oil yield. The aims of this research are to identify the effective extraction method conducted by standard hydrodistillation and re-design hydrodistillation. In order to increase the oil production, we optimize the extraction processing parameters tested by various particle sizes (0.5cm, 0.75cm, 1.0cm) and shaking time (1,3, 7 days). The results indicate that the high oil yield obtained by the oil extracted with sample size of 0.5cm (0.44%) and shake for 7 days (0.34%). Agarwood oil extracted using re- design hydrodistillation coupled with stirrer was achieving the maximum oil yield of 0.78% compared to standard hydrodistillation only 0.68%. Analysis of chemical compounds showed that 4-phenyl 2-butanone, α-muurolene...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="96f893775cde2d253aabb2e1c75d0da9" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{&quot;attachment_id&quot;:88288888,&quot;asset_id&quot;:82652879,&quot;asset_type&quot;:&quot;Work&quot;,&quot;button_location&quot;:&quot;profile&quot;}" href="https://www.academia.edu/attachments/88288888/download_file?st=MTczMjcxNjgwNSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82652879"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82652879"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82652879; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=82652879]").text(description); $(".js-view-count[data-work-id=82652879]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 82652879; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='82652879']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 82652879, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "96f893775cde2d253aabb2e1c75d0da9" } } $('.js-work-strip[data-work-id=82652879]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":82652879,"title":"Agarwood Essential Oil: Study on Optimum Parameter and Chemical Compounds of Hydrodistillation Extraction","translated_title":"","metadata":{"abstract":"A B S T R A C T Agarwood tree is one of source resin production and known as fragrant wood that have a highly valuable product in the global market. However, the process of hydrodistillation efficiency is far from sufficient and affecting to the lower product quality and oil yield. The aims of this research are to identify the effective extraction method conducted by standard hydrodistillation and re-design hydrodistillation. In order to increase the oil production, we optimize the extraction processing parameters tested by various particle sizes (0.5cm, 0.75cm, 1.0cm) and shaking time (1,3, 7 days). The results indicate that the high oil yield obtained by the oil extracted with sample size of 0.5cm (0.44%) and shake for 7 days (0.34%). Agarwood oil extracted using re- design hydrodistillation coupled with stirrer was achieving the maximum oil yield of 0.78% compared to standard hydrodistillation only 0.68%. Analysis of chemical compounds showed that 4-phenyl 2-butanone, α-muurolene...","publication_date":{"day":null,"month":null,"year":2015,"errors":{}}},"translated_abstract":"A B S T R A C T Agarwood tree is one of source resin production and known as fragrant wood that have a highly valuable product in the global market. However, the process of hydrodistillation efficiency is far from sufficient and affecting to the lower product quality and oil yield. The aims of this research are to identify the effective extraction method conducted by standard hydrodistillation and re-design hydrodistillation. In order to increase the oil production, we optimize the extraction processing parameters tested by various particle sizes (0.5cm, 0.75cm, 1.0cm) and shaking time (1,3, 7 days). The results indicate that the high oil yield obtained by the oil extracted with sample size of 0.5cm (0.44%) and shake for 7 days (0.34%). Agarwood oil extracted using re- design hydrodistillation coupled with stirrer was achieving the maximum oil yield of 0.78% compared to standard hydrodistillation only 0.68%. Analysis of chemical compounds showed that 4-phenyl 2-butanone, α-muurolene...","internal_url":"https://www.academia.edu/82652879/Agarwood_Essential_Oil_Study_on_Optimum_Parameter_and_Chemical_Compounds_of_Hydrodistillation_Extraction","translated_internal_url":"","created_at":"2022-07-05T09:58:07.589-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":44246,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":88288888,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88288888/thumbnails/1.jpg","file_name":"1-5.pdf","download_url":"https://www.academia.edu/attachments/88288888/download_file?st=MTczMjcxNjgwNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Agarwood_Essential_Oil_Study_on_Optimum.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88288888/1-5-libre.pdf?1657042915=\u0026response-content-disposition=attachment%3B+filename%3DAgarwood_Essential_Oil_Study_on_Optimum.pdf\u0026Expires=1732720405\u0026Signature=R7kEI174EWghfbpjLHxPV0kfaXYDmNsJ-EtUVPeZEc8fEvKRF1ArIi7DhvQOCv7c8yGxCC1q2~v~19-Bc4HKM5yqkN~9V8-VQSXzPOtngKJvuvs8Bll3MCWd~4rzeaGrABm2SMEmqXFJYL86WViECirGdE666dgLplJkQbvmMJcNcbH36YjHWQ-J3zKRXJyoHPDWG61qErZVP4dNelQ6~l-j8Oo6Ca9-aEK7ylGT4Rt8qfHBFfN-oNBZN8~1etWjOoBYh~wFNzxfjjRku4asPiJFkIBRC1XRRNXfuJdmm1rEznAUyqEP3ngWo9PORiF8gbSDaaX-qkDOati6fNDKqg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Agarwood_Essential_Oil_Study_on_Optimum_Parameter_and_Chemical_Compounds_of_Hydrodistillation_Extraction","translated_slug":"","page_count":5,"language":"en","content_type":"Work","owner":{"id":44246,"first_name":"Saiful Nizam","middle_initials":null,"last_name":"Tajuddin","page_name":"SaifulNizamTajuddin","domain_name":"ump","created_at":"2009-05-20T16:06:27.322-07:00","display_name":"Saiful Nizam Tajuddin","url":"https://ump.academia.edu/SaifulNizamTajuddin"},"attachments":[{"id":88288888,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88288888/thumbnails/1.jpg","file_name":"1-5.pdf","download_url":"https://www.academia.edu/attachments/88288888/download_file?st=MTczMjcxNjgwNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Agarwood_Essential_Oil_Study_on_Optimum.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88288888/1-5-libre.pdf?1657042915=\u0026response-content-disposition=attachment%3B+filename%3DAgarwood_Essential_Oil_Study_on_Optimum.pdf\u0026Expires=1732720405\u0026Signature=R7kEI174EWghfbpjLHxPV0kfaXYDmNsJ-EtUVPeZEc8fEvKRF1ArIi7DhvQOCv7c8yGxCC1q2~v~19-Bc4HKM5yqkN~9V8-VQSXzPOtngKJvuvs8Bll3MCWd~4rzeaGrABm2SMEmqXFJYL86WViECirGdE666dgLplJkQbvmMJcNcbH36YjHWQ-J3zKRXJyoHPDWG61qErZVP4dNelQ6~l-j8Oo6Ca9-aEK7ylGT4Rt8qfHBFfN-oNBZN8~1etWjOoBYh~wFNzxfjjRku4asPiJFkIBRC1XRRNXfuJdmm1rEznAUyqEP3ngWo9PORiF8gbSDaaX-qkDOati6fNDKqg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":88288887,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88288887/thumbnails/1.jpg","file_name":"1-5.pdf","download_url":"https://www.academia.edu/attachments/88288887/download_file","bulk_download_file_name":"Agarwood_Essential_Oil_Study_on_Optimum.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88288887/1-5-libre.pdf?1657042917=\u0026response-content-disposition=attachment%3B+filename%3DAgarwood_Essential_Oil_Study_on_Optimum.pdf\u0026Expires=1732720405\u0026Signature=FbDOBLt9yfA8FyRL7CGWLaNB4iSFiKKwGde~14MOANj~KWAJMT3QqxzlmvEvWjmZvbonDGMiu-3~7CHPkMPj3Wb86jd-D2Lv3fzkwntoQtrmrvDkFSl4ANbZCh7zm4pFOasXsXBNt~9dmgk5D1OqYKsSsnFlos9TH5AYO-53cCjRWhfUuaEnAnTKwvwPWxU47ao6vIHnqY6Qi9WkEyGKNE3xqg6rbXkOtYRXnmoKEeG2GEpJWXJihv93t9hBy38Wq4xrWUWbuSQeuAFhkvWVT2JQC4UhnzVfbcObumxFwKbK0GhCJNJUlKJwjvTW7huoH6sC6s9Bv95IUXAUfkUCLA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":300,"name":"Mathematics","url":"https://www.academia.edu/Documents/in/Mathematics"},{"id":523,"name":"Chemistry","url":"https://www.academia.edu/Documents/in/Chemistry"},{"id":48465,"name":"Essential Oil","url":"https://www.academia.edu/Documents/in/Essential_Oil"},{"id":883068,"name":"Agarwood","url":"https://www.academia.edu/Documents/in/Agarwood"}],"urls":[{"id":21944605,"url":"http://www.aensiweb.com/old/jasa/rjfh/2015/Special1%202015/1-5.pdf"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="82652875"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/82652875/Analysis_of_GC_FID_and_GC_MS_Microwave_Assisted_Hydrodistillation_Extraction_MAHD_of_Agarwood_Chips"><img alt="Research paper thumbnail of Analysis of GC-FID and GC-MS Microwave-Assisted Hydrodistillation Extraction (MAHD) of Agarwood Chips" class="work-thumbnail" src="https://attachments.academia-assets.com/88289223/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/82652875/Analysis_of_GC_FID_and_GC_MS_Microwave_Assisted_Hydrodistillation_Extraction_MAHD_of_Agarwood_Chips">Analysis of GC-FID and GC-MS Microwave-Assisted Hydrodistillation Extraction (MAHD) of Agarwood Chips</a></div><div class="wp-workCard_item"><span>The International Journal of Integrated Engineering</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This paper presents an analysis of Gas Chromatography – Flame Ionization Detector (GC-FID) and Ga...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This paper presents an analysis of Gas Chromatography – Flame Ionization Detector (GC-FID) and Gas Chromatography – Mass Spectrometry (GC-MS) microwave-assisted hydrodistillation extraction (MAHD) of agarwood chips. The work involves of agarwood chips sample preparation starting from drying to soaking process, extraction method using MAHD and compound analysis using GC-FID and GC-MS for compounds identification. During the extraction time, four hours were varied; 2-hours, 3-hours, 4-hours The result showed that the agarwood chips in this study, extracted by MAHD are made up of three major groups; oxygenated sesquiterpenes, monoterpene hydrocarbons, and sesquiterpene hydrocarbons. Not limited to that, the study also adds to the understanding of the variation of the chemical compounds in agarwood especially those contributed to the fragrance of its oil as well as together with different hours of extraction time where n-hexadecanoic acid appeared as the compound to have the high peak o...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="3e7464b9e58cb304adc9969727cbc9ce" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{&quot;attachment_id&quot;:88289223,&quot;asset_id&quot;:82652875,&quot;asset_type&quot;:&quot;Work&quot;,&quot;button_location&quot;:&quot;profile&quot;}" href="https://www.academia.edu/attachments/88289223/download_file?st=MTczMjcxNjgwNSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82652875"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82652875"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82652875; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=82652875]").text(description); $(".js-view-count[data-work-id=82652875]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 82652875; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='82652875']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 82652875, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "3e7464b9e58cb304adc9969727cbc9ce" } } $('.js-work-strip[data-work-id=82652875]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":82652875,"title":"Analysis of GC-FID and GC-MS Microwave-Assisted Hydrodistillation Extraction (MAHD) of Agarwood Chips","translated_title":"","metadata":{"abstract":"This paper presents an analysis of Gas Chromatography – Flame Ionization Detector (GC-FID) and Gas Chromatography – Mass Spectrometry (GC-MS) microwave-assisted hydrodistillation extraction (MAHD) of agarwood chips. The work involves of agarwood chips sample preparation starting from drying to soaking process, extraction method using MAHD and compound analysis using GC-FID and GC-MS for compounds identification. During the extraction time, four hours were varied; 2-hours, 3-hours, 4-hours The result showed that the agarwood chips in this study, extracted by MAHD are made up of three major groups; oxygenated sesquiterpenes, monoterpene hydrocarbons, and sesquiterpene hydrocarbons. Not limited to that, the study also adds to the understanding of the variation of the chemical compounds in agarwood especially those contributed to the fragrance of its oil as well as together with different hours of extraction time where n-hexadecanoic acid appeared as the compound to have the high peak o...","publisher":"Penerbit UTHM","publication_date":{"day":null,"month":null,"year":2021,"errors":{}},"publication_name":"The International Journal of Integrated Engineering"},"translated_abstract":"This paper presents an analysis of Gas Chromatography – Flame Ionization Detector (GC-FID) and Gas Chromatography – Mass Spectrometry (GC-MS) microwave-assisted hydrodistillation extraction (MAHD) of agarwood chips. The work involves of agarwood chips sample preparation starting from drying to soaking process, extraction method using MAHD and compound analysis using GC-FID and GC-MS for compounds identification. During the extraction time, four hours were varied; 2-hours, 3-hours, 4-hours The result showed that the agarwood chips in this study, extracted by MAHD are made up of three major groups; oxygenated sesquiterpenes, monoterpene hydrocarbons, and sesquiterpene hydrocarbons. Not limited to that, the study also adds to the understanding of the variation of the chemical compounds in agarwood especially those contributed to the fragrance of its oil as well as together with different hours of extraction time where n-hexadecanoic acid appeared as the compound to have the high peak o...","internal_url":"https://www.academia.edu/82652875/Analysis_of_GC_FID_and_GC_MS_Microwave_Assisted_Hydrodistillation_Extraction_MAHD_of_Agarwood_Chips","translated_internal_url":"","created_at":"2022-07-05T09:58:06.209-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":44246,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":88289223,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88289223/thumbnails/1.jpg","file_name":"480425045.pdf","download_url":"https://www.academia.edu/attachments/88289223/download_file?st=MTczMjcxNjgwNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Analysis_of_GC_FID_and_GC_MS_Microwave_A.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88289223/480425045-libre.pdf?1657042885=\u0026response-content-disposition=attachment%3B+filename%3DAnalysis_of_GC_FID_and_GC_MS_Microwave_A.pdf\u0026Expires=1732720405\u0026Signature=dBIlrsM8F8WSatLiFx2JdU6JUd8b6qgPRwr54ITYaJe7a5T2~989UVkdZSIYA-yp2JWAtCTde-BJGoVOi~VzWRDdraTst8xZ9kYWX79RUzX6v-eGn6RJg7R8FyBFrGXYx7qDJ6xqKMvobtuavmj15gU6JHfKEyM0p2uBcoxolXmEz~b7Woxf2mzIweUd8TOrshsLeQdjgNvqUZl9Jn0wzcvXIMKcgbqPh0JqM0Z3oGbEKbeRT5R6VBZL0khxyiKd70enHRQKdmvwfxNM7HjQJgxeMRcRg~hrVbKbw3ERCubz71JP1gJ65Ze2UnqOGZ9qu3h8ehwQuluqfZ50n7VpuA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Analysis_of_GC_FID_and_GC_MS_Microwave_Assisted_Hydrodistillation_Extraction_MAHD_of_Agarwood_Chips","translated_slug":"","page_count":10,"language":"en","content_type":"Work","owner":{"id":44246,"first_name":"Saiful Nizam","middle_initials":null,"last_name":"Tajuddin","page_name":"SaifulNizamTajuddin","domain_name":"ump","created_at":"2009-05-20T16:06:27.322-07:00","display_name":"Saiful Nizam Tajuddin","url":"https://ump.academia.edu/SaifulNizamTajuddin"},"attachments":[{"id":88289223,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88289223/thumbnails/1.jpg","file_name":"480425045.pdf","download_url":"https://www.academia.edu/attachments/88289223/download_file?st=MTczMjcxNjgwNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Analysis_of_GC_FID_and_GC_MS_Microwave_A.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88289223/480425045-libre.pdf?1657042885=\u0026response-content-disposition=attachment%3B+filename%3DAnalysis_of_GC_FID_and_GC_MS_Microwave_A.pdf\u0026Expires=1732720405\u0026Signature=dBIlrsM8F8WSatLiFx2JdU6JUd8b6qgPRwr54ITYaJe7a5T2~989UVkdZSIYA-yp2JWAtCTde-BJGoVOi~VzWRDdraTst8xZ9kYWX79RUzX6v-eGn6RJg7R8FyBFrGXYx7qDJ6xqKMvobtuavmj15gU6JHfKEyM0p2uBcoxolXmEz~b7Woxf2mzIweUd8TOrshsLeQdjgNvqUZl9Jn0wzcvXIMKcgbqPh0JqM0Z3oGbEKbeRT5R6VBZL0khxyiKd70enHRQKdmvwfxNM7HjQJgxeMRcRg~hrVbKbw3ERCubz71JP1gJ65Ze2UnqOGZ9qu3h8ehwQuluqfZ50n7VpuA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":4656,"name":"Chromatography","url":"https://www.academia.edu/Documents/in/Chromatography"},{"id":67648,"name":"GC-MS","url":"https://www.academia.edu/Documents/in/GC-MS"},{"id":529560,"name":"Gas Chromatography/mass Spectrometry","url":"https://www.academia.edu/Documents/in/Gas_Chromatography_mass_Spectrometry"},{"id":883068,"name":"Agarwood","url":"https://www.academia.edu/Documents/in/Agarwood"},{"id":2424913,"name":"Integrated Engineering","url":"https://www.academia.edu/Documents/in/Integrated_Engineering"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="82652869"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/82652869/Statistical_analysis_of_agarwood_oil_compounds_in_discriminating_the_quality_of_agarwood_oil"><img alt="Research paper thumbnail of Statistical analysis of agarwood oil compounds in discriminating the quality of agarwood oil" class="work-thumbnail" src="https://attachments.academia-assets.com/88289220/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/82652869/Statistical_analysis_of_agarwood_oil_compounds_in_discriminating_the_quality_of_agarwood_oil">Statistical analysis of agarwood oil compounds in discriminating the quality of agarwood oil</a></div><div class="wp-workCard_item"><span>Journal of Fundamental and Applied Sciences</span><span>, 2018</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="4a3ed606da4c4a03502c1dc50e020f38" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{&quot;attachment_id&quot;:88289220,&quot;asset_id&quot;:82652869,&quot;asset_type&quot;:&quot;Work&quot;,&quot;button_location&quot;:&quot;profile&quot;}" href="https://www.academia.edu/attachments/88289220/download_file?st=MTczMjcxNjgwNSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82652869"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82652869"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82652869; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=82652869]").text(description); $(".js-view-count[data-work-id=82652869]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 82652869; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='82652869']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 82652869, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "4a3ed606da4c4a03502c1dc50e020f38" } } $('.js-work-strip[data-work-id=82652869]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":82652869,"title":"Statistical analysis of agarwood oil compounds in discriminating the quality of agarwood oil","translated_title":"","metadata":{"publisher":"African Journals Online (AJOL)","publication_date":{"day":null,"month":null,"year":2018,"errors":{}},"publication_name":"Journal of Fundamental and Applied Sciences"},"translated_abstract":null,"internal_url":"https://www.academia.edu/82652869/Statistical_analysis_of_agarwood_oil_compounds_in_discriminating_the_quality_of_agarwood_oil","translated_internal_url":"","created_at":"2022-07-05T09:58:04.855-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":44246,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":88289220,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88289220/thumbnails/1.jpg","file_name":"154668.pdf","download_url":"https://www.academia.edu/attachments/88289220/download_file?st=MTczMjcxNjgwNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Statistical_analysis_of_agarwood_oil_com.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88289220/154668-libre.pdf?1657042893=\u0026response-content-disposition=attachment%3B+filename%3DStatistical_analysis_of_agarwood_oil_com.pdf\u0026Expires=1732720405\u0026Signature=Cdx015~IlohZnR3R3TCQBK7YxWWCo7O1VqQfBaRNPb9aa-gEcolG~DXnN2H7XBsmlo8Tl1zc-eIapPFp74xOL8-l4vELNytg6DHQBO87EPRY-sg8aMZ4WBv~KlGHoX~M-dXVg05ORhbUU-CWOw2uep4oLTiCxrpgHWwj9bERg6mRtb~2QcMbEdOnscQKzxPS9U3X~yRHbkp-Y17osjq7pa90MTaZn3tiuBMcVosqkCQ5OvGGQe5VJ73m8cFoUKJYe5oYgO9GgATXRVG7LzoKSyHaMY3HmahIn6Hw0a~6Sh4aP2i-CjBwEKC1pXFqCj-XuN2-E4Evse4gf-rl-GJZXA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Statistical_analysis_of_agarwood_oil_compounds_in_discriminating_the_quality_of_agarwood_oil","translated_slug":"","page_count":17,"language":"en","content_type":"Work","owner":{"id":44246,"first_name":"Saiful Nizam","middle_initials":null,"last_name":"Tajuddin","page_name":"SaifulNizamTajuddin","domain_name":"ump","created_at":"2009-05-20T16:06:27.322-07:00","display_name":"Saiful Nizam Tajuddin","url":"https://ump.academia.edu/SaifulNizamTajuddin"},"attachments":[{"id":88289220,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88289220/thumbnails/1.jpg","file_name":"154668.pdf","download_url":"https://www.academia.edu/attachments/88289220/download_file?st=MTczMjcxNjgwNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Statistical_analysis_of_agarwood_oil_com.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88289220/154668-libre.pdf?1657042893=\u0026response-content-disposition=attachment%3B+filename%3DStatistical_analysis_of_agarwood_oil_com.pdf\u0026Expires=1732720405\u0026Signature=Cdx015~IlohZnR3R3TCQBK7YxWWCo7O1VqQfBaRNPb9aa-gEcolG~DXnN2H7XBsmlo8Tl1zc-eIapPFp74xOL8-l4vELNytg6DHQBO87EPRY-sg8aMZ4WBv~KlGHoX~M-dXVg05ORhbUU-CWOw2uep4oLTiCxrpgHWwj9bERg6mRtb~2QcMbEdOnscQKzxPS9U3X~yRHbkp-Y17osjq7pa90MTaZn3tiuBMcVosqkCQ5OvGGQe5VJ73m8cFoUKJYe5oYgO9GgATXRVG7LzoKSyHaMY3HmahIn6Hw0a~6Sh4aP2i-CjBwEKC1pXFqCj-XuN2-E4Evse4gf-rl-GJZXA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":48,"name":"Engineering","url":"https://www.academia.edu/Documents/in/Engineering"},{"id":883068,"name":"Agarwood","url":"https://www.academia.edu/Documents/in/Agarwood"},{"id":1223881,"name":"Boxplot","url":"https://www.academia.edu/Documents/in/Boxplot"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="82652859"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/82652859/Quadratic_tuned_kernel_parameter_in_Non_linear_support_vector_machine_SVM_for_agarwood_oil_compounds_quality_classification"><img alt="Research paper thumbnail of Quadratic tuned kernel parameter in Non-linear support vector machine (SVM) for agarwood oil compounds quality classification" class="work-thumbnail" src="https://attachments.academia-assets.com/88288873/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/82652859/Quadratic_tuned_kernel_parameter_in_Non_linear_support_vector_machine_SVM_for_agarwood_oil_compounds_quality_classification">Quadratic tuned kernel parameter in Non-linear support vector machine (SVM) for agarwood oil compounds quality classification</a></div><div class="wp-workCard_item"><span>Indonesian Journal of Electrical Engineering and Computer Science</span><span>, 2020</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This paper presents the analysis of agarwood oil compounds quality classification by tuning quadr...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This paper presents the analysis of agarwood oil compounds quality classification by tuning quadratic kernel parameter in Support Vector Machine (SVM). The experimental work involved of agarwood oil samples from low and high qualities. The input is abundances (%) of the agarwood oil compounds and the output is the quality of the oil either high or low. The input and output data were processed by following tasks; i) data processing which covers normalization, randomization and data splitting into two parts in which training and testing database (ratio of 80%:20%), and ii) data analysis which covers SVM development by tuning quadratic kernel parameter. The training dataset was used to be train the SVM model and the testing dataset was used to test the developed SVM model. All the analytical works are performed via MATLAB software version R2013a. The result showed that, quadratic tuned kernel parameter in SVM model was successful since it passed all the performance criteria’s in which ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="432db0d8b6a09c0a25f49dec89c35526" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{&quot;attachment_id&quot;:88288873,&quot;asset_id&quot;:82652859,&quot;asset_type&quot;:&quot;Work&quot;,&quot;button_location&quot;:&quot;profile&quot;}" href="https://www.academia.edu/attachments/88288873/download_file?st=MTczMjcxNjgwNiw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82652859"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82652859"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82652859; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=82652859]").text(description); $(".js-view-count[data-work-id=82652859]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 82652859; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='82652859']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 82652859, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "432db0d8b6a09c0a25f49dec89c35526" } } $('.js-work-strip[data-work-id=82652859]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":82652859,"title":"Quadratic tuned kernel parameter in Non-linear support vector machine (SVM) for agarwood oil compounds quality classification","translated_title":"","metadata":{"abstract":"This paper presents the analysis of agarwood oil compounds quality classification by tuning quadratic kernel parameter in Support Vector Machine (SVM). The experimental work involved of agarwood oil samples from low and high qualities. The input is abundances (%) of the agarwood oil compounds and the output is the quality of the oil either high or low. The input and output data were processed by following tasks; i) data processing which covers normalization, randomization and data splitting into two parts in which training and testing database (ratio of 80%:20%), and ii) data analysis which covers SVM development by tuning quadratic kernel parameter. The training dataset was used to be train the SVM model and the testing dataset was used to test the developed SVM model. All the analytical works are performed via MATLAB software version R2013a. The result showed that, quadratic tuned kernel parameter in SVM model was successful since it passed all the performance criteria’s in which ...","publisher":"Institute of Advanced Engineering and Science","publication_date":{"day":null,"month":null,"year":2020,"errors":{}},"publication_name":"Indonesian Journal of Electrical Engineering and Computer Science"},"translated_abstract":"This paper presents the analysis of agarwood oil compounds quality classification by tuning quadratic kernel parameter in Support Vector Machine (SVM). The experimental work involved of agarwood oil samples from low and high qualities. The input is abundances (%) of the agarwood oil compounds and the output is the quality of the oil either high or low. The input and output data were processed by following tasks; i) data processing which covers normalization, randomization and data splitting into two parts in which training and testing database (ratio of 80%:20%), and ii) data analysis which covers SVM development by tuning quadratic kernel parameter. The training dataset was used to be train the SVM model and the testing dataset was used to test the developed SVM model. All the analytical works are performed via MATLAB software version R2013a. The result showed that, quadratic tuned kernel parameter in SVM model was successful since it passed all the performance criteria’s in which ...","internal_url":"https://www.academia.edu/82652859/Quadratic_tuned_kernel_parameter_in_Non_linear_support_vector_machine_SVM_for_agarwood_oil_compounds_quality_classification","translated_internal_url":"","created_at":"2022-07-05T09:58:02.808-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":44246,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":88288873,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88288873/thumbnails/1.jpg","file_name":"13519.pdf","download_url":"https://www.academia.edu/attachments/88288873/download_file?st=MTczMjcxNjgwNiw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Quadratic_tuned_kernel_parameter_in_Non.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88288873/13519-libre.pdf?1657042922=\u0026response-content-disposition=attachment%3B+filename%3DQuadratic_tuned_kernel_parameter_in_Non.pdf\u0026Expires=1732720406\u0026Signature=QQRYETt-WS72vEPDVCKUJybKjrCOBJLcRlD1hWQlOfED3kwNB68m9s8zmBNG6FlgmlKTX2wCsShWyiLs9ADmbg94Zm90~~vd-h1AlLKvHe~adUjilJSJClsRHUghaUbmqVbRhMRP5wPp8UZevYU73dKBNaN1X-jFJLVBEF63eBdjAyYUyzmC9KB-0IqgM8LSEimRn~GS~7gCljSfQFZQ7xTiEd8a13RppixIcMbCTwBoNQeQCMr1fm5y5gGaUY7wtcwI5XRZBtVLouYZtxxBfC47sLA5~LxI99XLzisHtTHYd0ubi6oTw~j6EmBmsazNaC5G5sC9CNrCPnmO3XT1qA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Quadratic_tuned_kernel_parameter_in_Non_linear_support_vector_machine_SVM_for_agarwood_oil_compounds_quality_classification","translated_slug":"","page_count":6,"language":"en","content_type":"Work","owner":{"id":44246,"first_name":"Saiful Nizam","middle_initials":null,"last_name":"Tajuddin","page_name":"SaifulNizamTajuddin","domain_name":"ump","created_at":"2009-05-20T16:06:27.322-07:00","display_name":"Saiful Nizam Tajuddin","url":"https://ump.academia.edu/SaifulNizamTajuddin"},"attachments":[{"id":88288873,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88288873/thumbnails/1.jpg","file_name":"13519.pdf","download_url":"https://www.academia.edu/attachments/88288873/download_file?st=MTczMjcxNjgwNiw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Quadratic_tuned_kernel_parameter_in_Non.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88288873/13519-libre.pdf?1657042922=\u0026response-content-disposition=attachment%3B+filename%3DQuadratic_tuned_kernel_parameter_in_Non.pdf\u0026Expires=1732720406\u0026Signature=QQRYETt-WS72vEPDVCKUJybKjrCOBJLcRlD1hWQlOfED3kwNB68m9s8zmBNG6FlgmlKTX2wCsShWyiLs9ADmbg94Zm90~~vd-h1AlLKvHe~adUjilJSJClsRHUghaUbmqVbRhMRP5wPp8UZevYU73dKBNaN1X-jFJLVBEF63eBdjAyYUyzmC9KB-0IqgM8LSEimRn~GS~7gCljSfQFZQ7xTiEd8a13RppixIcMbCTwBoNQeQCMr1fm5y5gGaUY7wtcwI5XRZBtVLouYZtxxBfC47sLA5~LxI99XLzisHtTHYd0ubi6oTw~j6EmBmsazNaC5G5sC9CNrCPnmO3XT1qA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":300,"name":"Mathematics","url":"https://www.academia.edu/Documents/in/Mathematics"},{"id":465,"name":"Artificial Intelligence","url":"https://www.academia.edu/Documents/in/Artificial_Intelligence"},{"id":191289,"name":"Support vector machine","url":"https://www.academia.edu/Documents/in/Support_vector_machine"}],"urls":[{"id":21944599,"url":"http://ijeecs.iaescore.com/index.php/IJEECS/article/viewFile/20929/13519"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="82652851"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/82652851/Production_of_Agarwood_Essential_Oil_Study_on_Effectiveness_Pre_Treatment_Technique_of_Hydrodistillation_Extraction"><img alt="Research paper thumbnail of Production of Agarwood Essential Oil: Study on Effectiveness Pre-Treatment Technique of Hydrodistillation Extraction" class="work-thumbnail" src="https://attachments.academia-assets.com/88288865/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/82652851/Production_of_Agarwood_Essential_Oil_Study_on_Effectiveness_Pre_Treatment_Technique_of_Hydrodistillation_Extraction">Production of Agarwood Essential Oil: Study on Effectiveness Pre-Treatment Technique of Hydrodistillation Extraction</a></div><div class="wp-workCard_item"><span>Borneo Journal of Resource Science and Technology</span><span>, 1970</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">There are many uses of agarwood trees in a number of countries around the world. However, lack in...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">There are many uses of agarwood trees in a number of countries around the world. However, lack in extractionprocess efficiency was affected to the lower product quality and oil yield. Therefore, this research was aimed toinvestigate the effect of pre-treatment techniques of soaking with water and soaking with three fungi onagarwood oil yield. The oils produced were compared with industrial samples. Analysis of chemical compoundsis done by using Gas Chromatography-Flame Ionization Detector (GC-FID) and Gas Chromatography-MassSpectrometry (GC-MS). As a result, the sample treated with fungi Phanerochaete chrysosporium achieved thehighest average oil yields of 0.58% with content of 80.13% of total chemical compounds compared to sampletreated with water only consist of 0.27% oil yield and 72.58% of total chemical compounds was detected. Thesample soak with fungi is more advantageous than soak with water in terms of oil productivity, energy savingand efficiency process. The main component...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="b09343151944522e92fb39068d847fc1" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{&quot;attachment_id&quot;:88288865,&quot;asset_id&quot;:82652851,&quot;asset_type&quot;:&quot;Work&quot;,&quot;button_location&quot;:&quot;profile&quot;}" href="https://www.academia.edu/attachments/88288865/download_file?st=MTczMjcxNjgwNiw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82652851"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82652851"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82652851; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=82652851]").text(description); $(".js-view-count[data-work-id=82652851]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 82652851; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='82652851']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 82652851, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "b09343151944522e92fb39068d847fc1" } } $('.js-work-strip[data-work-id=82652851]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":82652851,"title":"Production of Agarwood Essential Oil: Study on Effectiveness Pre-Treatment Technique of Hydrodistillation Extraction","translated_title":"","metadata":{"abstract":"There are many uses of agarwood trees in a number of countries around the world. However, lack in extractionprocess efficiency was affected to the lower product quality and oil yield. Therefore, this research was aimed toinvestigate the effect of pre-treatment techniques of soaking with water and soaking with three fungi onagarwood oil yield. The oils produced were compared with industrial samples. Analysis of chemical compoundsis done by using Gas Chromatography-Flame Ionization Detector (GC-FID) and Gas Chromatography-MassSpectrometry (GC-MS). As a result, the sample treated with fungi Phanerochaete chrysosporium achieved thehighest average oil yields of 0.58% with content of 80.13% of total chemical compounds compared to sampletreated with water only consist of 0.27% oil yield and 72.58% of total chemical compounds was detected. Thesample soak with fungi is more advantageous than soak with water in terms of oil productivity, energy savingand efficiency process. The main component...","publisher":"UNIMAS Publisher","publication_date":{"day":null,"month":null,"year":1970,"errors":{}},"publication_name":"Borneo Journal of Resource Science and Technology"},"translated_abstract":"There are many uses of agarwood trees in a number of countries around the world. However, lack in extractionprocess efficiency was affected to the lower product quality and oil yield. Therefore, this research was aimed toinvestigate the effect of pre-treatment techniques of soaking with water and soaking with three fungi onagarwood oil yield. The oils produced were compared with industrial samples. Analysis of chemical compoundsis done by using Gas Chromatography-Flame Ionization Detector (GC-FID) and Gas Chromatography-MassSpectrometry (GC-MS). As a result, the sample treated with fungi Phanerochaete chrysosporium achieved thehighest average oil yields of 0.58% with content of 80.13% of total chemical compounds compared to sampletreated with water only consist of 0.27% oil yield and 72.58% of total chemical compounds was detected. Thesample soak with fungi is more advantageous than soak with water in terms of oil productivity, energy savingand efficiency process. The main component...","internal_url":"https://www.academia.edu/82652851/Production_of_Agarwood_Essential_Oil_Study_on_Effectiveness_Pre_Treatment_Technique_of_Hydrodistillation_Extraction","translated_internal_url":"","created_at":"2022-07-05T09:58:00.217-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":44246,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":88288865,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88288865/thumbnails/1.jpg","file_name":"190.pdf","download_url":"https://www.academia.edu/attachments/88288865/download_file?st=MTczMjcxNjgwNiw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Production_of_Agarwood_Essential_Oil_Stu.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88288865/190-libre.pdf?1657042920=\u0026response-content-disposition=attachment%3B+filename%3DProduction_of_Agarwood_Essential_Oil_Stu.pdf\u0026Expires=1732720406\u0026Signature=XxBUNdLRK1LYsMoGhtGspPrVh0VgtLaCyx2-Sm92V4KY4-Vmp8-XC0z3oHhhVWY-fEOcLK-fXc~aFV0vBVVElsfAu4UeQ051Eb6UAxWmiw2pbYscuNNkRCk8ny8jzi-mgO9xcNnwHDnTBhGIC53ENLX369SivxM8uccqjiupmrhwMVpov6WM-bzzzRu2IWT52D0-XXCgU-l4m8k6vdgFg9Q0yyNZl~iaxrQIr2K1hpMcBG8BTdWbyv0EUf-g2AJvda1hvp41ugRMiOOjohfFUJXa3~dMrvAb65eBMruITGaBL5y85pxvsC5Nr-NAILBwOE8x-KmZaFtEhoni5HLeiQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Production_of_Agarwood_Essential_Oil_Study_on_Effectiveness_Pre_Treatment_Technique_of_Hydrodistillation_Extraction","translated_slug":"","page_count":8,"language":"en","content_type":"Work","owner":{"id":44246,"first_name":"Saiful Nizam","middle_initials":null,"last_name":"Tajuddin","page_name":"SaifulNizamTajuddin","domain_name":"ump","created_at":"2009-05-20T16:06:27.322-07:00","display_name":"Saiful Nizam Tajuddin","url":"https://ump.academia.edu/SaifulNizamTajuddin"},"attachments":[{"id":88288865,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88288865/thumbnails/1.jpg","file_name":"190.pdf","download_url":"https://www.academia.edu/attachments/88288865/download_file?st=MTczMjcxNjgwNiw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Production_of_Agarwood_Essential_Oil_Stu.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88288865/190-libre.pdf?1657042920=\u0026response-content-disposition=attachment%3B+filename%3DProduction_of_Agarwood_Essential_Oil_Stu.pdf\u0026Expires=1732720406\u0026Signature=XxBUNdLRK1LYsMoGhtGspPrVh0VgtLaCyx2-Sm92V4KY4-Vmp8-XC0z3oHhhVWY-fEOcLK-fXc~aFV0vBVVElsfAu4UeQ051Eb6UAxWmiw2pbYscuNNkRCk8ny8jzi-mgO9xcNnwHDnTBhGIC53ENLX369SivxM8uccqjiupmrhwMVpov6WM-bzzzRu2IWT52D0-XXCgU-l4m8k6vdgFg9Q0yyNZl~iaxrQIr2K1hpMcBG8BTdWbyv0EUf-g2AJvda1hvp41ugRMiOOjohfFUJXa3~dMrvAb65eBMruITGaBL5y85pxvsC5Nr-NAILBwOE8x-KmZaFtEhoni5HLeiQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":88288866,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88288866/thumbnails/1.jpg","file_name":"190.pdf","download_url":"https://www.academia.edu/attachments/88288866/download_file","bulk_download_file_name":"Production_of_Agarwood_Essential_Oil_Stu.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88288866/190-libre.pdf?1657042930=\u0026response-content-disposition=attachment%3B+filename%3DProduction_of_Agarwood_Essential_Oil_Stu.pdf\u0026Expires=1732720406\u0026Signature=a1BVWGVXHiNKgYLhgp2F55RU-2Yvew2xnOlyIAm-x3wdq~WnXBuM2zK~nK0HZntgXyYVDibE4vxje0cvDrXY41fpm3EaQ1zMVOfaZdhkh5k3W-KiGQOjA7AXbd5YS-5HmWKHsiizDa96U39YMCD277rhIzpRg7d4NGgwjF9IMTFGPEF22Xcm~Y2t460OSYiasOziPYj~UBHCv-SVseV0LNTf4m8-jI1XOVaPQQyHGv9iGgX15cuqf68hp8zBJvflXjTg9Q07rRSWmwUo2GPCuK5v5c6yBrC5lBtTOK3lrmsd2h2N2zp8fJ1c1vR-jj6m21ttqZF075rNybUs7pocAQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":523,"name":"Chemistry","url":"https://www.academia.edu/Documents/in/Chemistry"},{"id":48465,"name":"Essential Oil","url":"https://www.academia.edu/Documents/in/Essential_Oil"},{"id":883068,"name":"Agarwood","url":"https://www.academia.edu/Documents/in/Agarwood"}],"urls":[{"id":21944596,"url":"http://publisher.unimas.my/ojs/index.php/BJRST/article/download/223/190"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="82652838"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/82652838/The_in_vivo_anti_tumor_effect_of_curcumin_derivative_2E_6E_2_6_bis_4_hydroxy_3_methoxybenzylidene_cyclohexanone_BHMC_on_4T1_breast_cancer_cells"><img alt="Research paper thumbnail of The in vivo anti-tumor effect of curcumin derivative (2E,6E)-2,6-bis(4-hydroxy-3-methoxybenzylidene)cyclohexanone (BHMC) on 4T1 breast cancer cells" class="work-thumbnail" src="https://attachments.academia-assets.com/88288861/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/82652838/The_in_vivo_anti_tumor_effect_of_curcumin_derivative_2E_6E_2_6_bis_4_hydroxy_3_methoxybenzylidene_cyclohexanone_BHMC_on_4T1_breast_cancer_cells">The in vivo anti-tumor effect of curcumin derivative (2E,6E)-2,6-bis(4-hydroxy-3-methoxybenzylidene)cyclohexanone (BHMC) on 4T1 breast cancer cells</a></div><div class="wp-workCard_item"><span>RSC Adv.</span><span>, 2017</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">BHMC possessed in vitro and in vivo antitumor effect on 4T1 triple negative breast cancer cells.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="14f66170bb6e2eed9147a4c359484a8f" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{&quot;attachment_id&quot;:88288861,&quot;asset_id&quot;:82652838,&quot;asset_type&quot;:&quot;Work&quot;,&quot;button_location&quot;:&quot;profile&quot;}" href="https://www.academia.edu/attachments/88288861/download_file?st=MTczMjcxNjgwNiw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82652838"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82652838"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82652838; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=82652838]").text(description); $(".js-view-count[data-work-id=82652838]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 82652838; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='82652838']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 82652838, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "14f66170bb6e2eed9147a4c359484a8f" } } $('.js-work-strip[data-work-id=82652838]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":82652838,"title":"The in vivo anti-tumor effect of curcumin derivative (2E,6E)-2,6-bis(4-hydroxy-3-methoxybenzylidene)cyclohexanone (BHMC) on 4T1 breast cancer cells","translated_title":"","metadata":{"abstract":"BHMC possessed in vitro and in vivo antitumor effect on 4T1 triple negative breast cancer cells.","publisher":"Royal Society of Chemistry (RSC)","publication_date":{"day":null,"month":null,"year":2017,"errors":{}},"publication_name":"RSC Adv."},"translated_abstract":"BHMC possessed in vitro and in vivo antitumor effect on 4T1 triple negative breast cancer cells.","internal_url":"https://www.academia.edu/82652838/The_in_vivo_anti_tumor_effect_of_curcumin_derivative_2E_6E_2_6_bis_4_hydroxy_3_methoxybenzylidene_cyclohexanone_BHMC_on_4T1_breast_cancer_cells","translated_internal_url":"","created_at":"2022-07-05T09:57:57.593-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":44246,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":88288861,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88288861/thumbnails/1.jpg","file_name":"C7RA06580A.pdf","download_url":"https://www.academia.edu/attachments/88288861/download_file?st=MTczMjcxNjgwNiw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"The_in_vivo_anti_tumor_effect_of_curcumi.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88288861/C7RA06580A-libre.pdf?1657042925=\u0026response-content-disposition=attachment%3B+filename%3DThe_in_vivo_anti_tumor_effect_of_curcumi.pdf\u0026Expires=1732720406\u0026Signature=bEtlzeRgObVFPyaUxdWam5dA-J3~1KB2pSW9tSqvBDIwvCEzmJHtp69Z7TdQLGFexOSk96-E8GX4WXZpJRtDlkJ4CHGcu6jUE6XQf8GjidldhxI8gAgDmDWKFu6EDbEsBpEDrYzBPN3M5wYygbwDOWKqv9U~zN7lBotHgEqQ4FQPvcoWGNedXSxXmLOzpQ5mSDYt~msCZuM2up9oEY9VnWCOKV6xDG97BSyRtkGW-Ehnja1kTOrPF2xqsDB~nGe1l4QDhHC~d2UOc3OGlHZsw-0AtgYtn9kMRXGevjaPt9Vxp3fJkKr08f-k10cu3SiwlyZMyAcN7D2~Zuk0xydGuQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"The_in_vivo_anti_tumor_effect_of_curcumin_derivative_2E_6E_2_6_bis_4_hydroxy_3_methoxybenzylidene_cyclohexanone_BHMC_on_4T1_breast_cancer_cells","translated_slug":"","page_count":8,"language":"en","content_type":"Work","owner":{"id":44246,"first_name":"Saiful Nizam","middle_initials":null,"last_name":"Tajuddin","page_name":"SaifulNizamTajuddin","domain_name":"ump","created_at":"2009-05-20T16:06:27.322-07:00","display_name":"Saiful Nizam Tajuddin","url":"https://ump.academia.edu/SaifulNizamTajuddin"},"attachments":[{"id":88288861,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88288861/thumbnails/1.jpg","file_name":"C7RA06580A.pdf","download_url":"https://www.academia.edu/attachments/88288861/download_file?st=MTczMjcxNjgwNiw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"The_in_vivo_anti_tumor_effect_of_curcumi.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88288861/C7RA06580A-libre.pdf?1657042925=\u0026response-content-disposition=attachment%3B+filename%3DThe_in_vivo_anti_tumor_effect_of_curcumi.pdf\u0026Expires=1732720406\u0026Signature=bEtlzeRgObVFPyaUxdWam5dA-J3~1KB2pSW9tSqvBDIwvCEzmJHtp69Z7TdQLGFexOSk96-E8GX4WXZpJRtDlkJ4CHGcu6jUE6XQf8GjidldhxI8gAgDmDWKFu6EDbEsBpEDrYzBPN3M5wYygbwDOWKqv9U~zN7lBotHgEqQ4FQPvcoWGNedXSxXmLOzpQ5mSDYt~msCZuM2up9oEY9VnWCOKV6xDG97BSyRtkGW-Ehnja1kTOrPF2xqsDB~nGe1l4QDhHC~d2UOc3OGlHZsw-0AtgYtn9kMRXGevjaPt9Vxp3fJkKr08f-k10cu3SiwlyZMyAcN7D2~Zuk0xydGuQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":88288860,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88288860/thumbnails/1.jpg","file_name":"C7RA06580A.pdf","download_url":"https://www.academia.edu/attachments/88288860/download_file","bulk_download_file_name":"The_in_vivo_anti_tumor_effect_of_curcumi.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88288860/C7RA06580A-libre.pdf?1657042924=\u0026response-content-disposition=attachment%3B+filename%3DThe_in_vivo_anti_tumor_effect_of_curcumi.pdf\u0026Expires=1732720406\u0026Signature=fPYcdBtK~-CLDPOxlF1-D0lFUSWR1OTPCJyxQdyPtGINa~xA0L3BKXlvZGbuqFmsCoaPBUYjbWByabaiJQbcRfwxWX5xm53mw1MwfI14fD7GhLcymzrHQkvrxv3GaWjz-bY-MRhhEo~Dra5I1bLsJLG-cLy14H8Ddr8haOPskI75WAPFXQwxH8UJVyYgmulBUQ9qJdq8RvZzaCy1Q3N6XDDnquMVevv3gYtgARCdZgXbbSZnEEuhtUFi3dH6dsSpE2LByLHQ4TGzWoD-wnvq1~7n1gEuPm~mK1SyNFyOlu5hQCgKgqLeXwB56P~Q2Fn5D99znjgecqhHRlnOt1mrWA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":523,"name":"Chemistry","url":"https://www.academia.edu/Documents/in/Chemistry"},{"id":93232,"name":"Curcumin","url":"https://www.academia.edu/Documents/in/Curcumin"},{"id":191586,"name":"RSC","url":"https://www.academia.edu/Documents/in/RSC"},{"id":302037,"name":"In Vivo","url":"https://www.academia.edu/Documents/in/In_Vivo"}],"urls":[{"id":21944593,"url":"http://pubs.rsc.org/en/content/articlepdf/2017/RA/C7RA06580A"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="82652835"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/82652835/Analysis_on_agarwood_vapour_using_headspace_volatile_DVB_CAR_PDMS_SPME_with_different_sampling_time"><img alt="Research paper thumbnail of Analysis on agarwood vapour using headspace volatile DVB-CAR-PDMS SPME with different sampling time" class="work-thumbnail" src="https://attachments.academia-assets.com/88289196/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/82652835/Analysis_on_agarwood_vapour_using_headspace_volatile_DVB_CAR_PDMS_SPME_with_different_sampling_time">Analysis on agarwood vapour using headspace volatile DVB-CAR-PDMS SPME with different sampling time</a></div><div class="wp-workCard_item"><span>2016 7th IEEE Control and System Graduate Research Colloquium (ICSGRC)</span><span>, 2016</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="508e9b71b9bcb44e51ed1d0c4d9c8120" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{&quot;attachment_id&quot;:88289196,&quot;asset_id&quot;:82652835,&quot;asset_type&quot;:&quot;Work&quot;,&quot;button_location&quot;:&quot;profile&quot;}" href="https://www.academia.edu/attachments/88289196/download_file?st=MTczMjcxNjgwNiw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82652835"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82652835"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82652835; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=82652835]").text(description); $(".js-view-count[data-work-id=82652835]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 82652835; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='82652835']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 82652835, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "508e9b71b9bcb44e51ed1d0c4d9c8120" } } $('.js-work-strip[data-work-id=82652835]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":82652835,"title":"Analysis on agarwood vapour using headspace volatile DVB-CAR-PDMS SPME with different sampling time","translated_title":"","metadata":{"publisher":"IEEE","grobid_abstract":"Due to its popularity and high market demand, critical analysis on agarwood vapour chemical compounds may provide an alternative quality discrimination of agarwood oil. The proposed work involves the extraction of high quality agarwood using headspace volatile divinylbenzene-carboxenpolydimethysiloxane (DVB-CAR-PDMS) solid phase microextraction (SPME) with different sampling time at 15, 30 and 60 minutes. Then, Gas chromatography-Mass Spectroscopy (GC-MS) is performed to identify the chemical compounds. Generally, agarwood vapour is rich in terpene group especially monoterpene, sesquiterpene and oxygenated sesquiterpene. Analysis showed that at least 52, 50 and 54 compounds are extracted at 15, 30 and 60 minutes, respectively. Among all, duration of 60 minutes produced the highest abundance (%) for caryophellene oxide. The finding proves that caryophellene oxide as one of the important compounds in high agarwood and different sampling time plays a major role that effects the extraction. Thus, the analysis in this study is significant and brings benefit especially to the agarwood and its essential oil research area.","publication_date":{"day":null,"month":null,"year":2016,"errors":{}},"publication_name":"2016 7th IEEE Control and System Graduate Research Colloquium (ICSGRC)","grobid_abstract_attachment_id":88289196},"translated_abstract":null,"internal_url":"https://www.academia.edu/82652835/Analysis_on_agarwood_vapour_using_headspace_volatile_DVB_CAR_PDMS_SPME_with_different_sampling_time","translated_internal_url":"","created_at":"2022-07-05T09:57:55.767-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":44246,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":88289196,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88289196/thumbnails/1.jpg","file_name":"Analysis_20on_20Agarwood_20Vapour_20using_20Headspace_20Volatile_20DVB-CAR-PDMS_20SPME_20with_20Different_20Sampling_20Time_201.pdf","download_url":"https://www.academia.edu/attachments/88289196/download_file?st=MTczMjcxNjgwNiw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Analysis_on_agarwood_vapour_using_headsp.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88289196/Analysis_20on_20Agarwood_20Vapour_20using_20Headspace_20Volatile_20DVB-CAR-PDMS_20SPME_20with_20Different_20Sampling_20Time_201-libre.pdf?1657042886=\u0026response-content-disposition=attachment%3B+filename%3DAnalysis_on_agarwood_vapour_using_headsp.pdf\u0026Expires=1732720406\u0026Signature=LffHqhT1r54D0uXJsrEzsxQJyCXISh~BkFpVnsqY56SU05Mmj8m2Vabry-H-YlKyvNGZ98wlpGQdGG2PzyBvxtbyW7xPX175Vd2ESd8Rtg8xx36e4k~wcC3Ad5FgndQ2lYpl7knofERpK1TfwNCwlfbsmwwJuP1QLt591Ptu2oqaJxO4bXBWFdFeZgQ6gvPCfAp6BEShUTO4ljXSQSzVzuvCIdjbgj1xSVWvMxMJOSi-wPzNVjEIFralS7yF-d~Z3Zp2BZ39jyhiLWDS7U5Hv8tiOTcBdbS92AiZiB~rv~Lf9nelMN9FuobbtBqsgtcgYr1Z9F8cXK-3a7FvViKpNA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Analysis_on_agarwood_vapour_using_headspace_volatile_DVB_CAR_PDMS_SPME_with_different_sampling_time","translated_slug":"","page_count":1,"language":"en","content_type":"Work","owner":{"id":44246,"first_name":"Saiful Nizam","middle_initials":null,"last_name":"Tajuddin","page_name":"SaifulNizamTajuddin","domain_name":"ump","created_at":"2009-05-20T16:06:27.322-07:00","display_name":"Saiful Nizam Tajuddin","url":"https://ump.academia.edu/SaifulNizamTajuddin"},"attachments":[{"id":88289196,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88289196/thumbnails/1.jpg","file_name":"Analysis_20on_20Agarwood_20Vapour_20using_20Headspace_20Volatile_20DVB-CAR-PDMS_20SPME_20with_20Different_20Sampling_20Time_201.pdf","download_url":"https://www.academia.edu/attachments/88289196/download_file?st=MTczMjcxNjgwNiw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Analysis_on_agarwood_vapour_using_headsp.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88289196/Analysis_20on_20Agarwood_20Vapour_20using_20Headspace_20Volatile_20DVB-CAR-PDMS_20SPME_20with_20Different_20Sampling_20Time_201-libre.pdf?1657042886=\u0026response-content-disposition=attachment%3B+filename%3DAnalysis_on_agarwood_vapour_using_headsp.pdf\u0026Expires=1732720406\u0026Signature=LffHqhT1r54D0uXJsrEzsxQJyCXISh~BkFpVnsqY56SU05Mmj8m2Vabry-H-YlKyvNGZ98wlpGQdGG2PzyBvxtbyW7xPX175Vd2ESd8Rtg8xx36e4k~wcC3Ad5FgndQ2lYpl7knofERpK1TfwNCwlfbsmwwJuP1QLt591Ptu2oqaJxO4bXBWFdFeZgQ6gvPCfAp6BEShUTO4ljXSQSzVzuvCIdjbgj1xSVWvMxMJOSi-wPzNVjEIFralS7yF-d~Z3Zp2BZ39jyhiLWDS7U5Hv8tiOTcBdbS92AiZiB~rv~Lf9nelMN9FuobbtBqsgtcgYr1Z9F8cXK-3a7FvViKpNA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":161542,"name":"Solid Phase Microextraction","url":"https://www.academia.edu/Documents/in/Solid_Phase_Microextraction"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="82652825"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/82652825/Direct_Thermal_Desorption_DTD_extraction_for_different_qualities_of_agarwood_incense_analysis"><img alt="Research paper thumbnail of Direct Thermal Desorption (DTD) extraction for different qualities of agarwood incense analysis" class="work-thumbnail" src="https://attachments.academia-assets.com/88289190/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/82652825/Direct_Thermal_Desorption_DTD_extraction_for_different_qualities_of_agarwood_incense_analysis">Direct Thermal Desorption (DTD) extraction for different qualities of agarwood incense analysis</a></div><div class="wp-workCard_item"><span>2016 IEEE 12th International Colloquium on Signal Processing &amp; Its Applications (CSPA)</span><span>, 2016</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="3d1487054433ab18d09de420f46a7de6" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{&quot;attachment_id&quot;:88289190,&quot;asset_id&quot;:82652825,&quot;asset_type&quot;:&quot;Work&quot;,&quot;button_location&quot;:&quot;profile&quot;}" href="https://www.academia.edu/attachments/88289190/download_file?st=MTczMjcxNjgwNiw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82652825"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82652825"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82652825; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=82652825]").text(description); $(".js-view-count[data-work-id=82652825]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 82652825; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='82652825']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 82652825, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "3d1487054433ab18d09de420f46a7de6" } } $('.js-work-strip[data-work-id=82652825]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":82652825,"title":"Direct Thermal Desorption (DTD) extraction for different qualities of agarwood incense analysis","translated_title":"","metadata":{"publisher":"IEEE","grobid_abstract":"Agarwood is well known as one of expensive and valuable woods due to its high demand in the market. As part of ongoing research in establishing agarwood oil quality grading, this paper presents Direct Thermal Desorption (DTD) in extracting commercial, high and low quality of agarwood incense. The Gas Chromatography-Flame Ionization Detection (GC-FID) and Gas Chromatography-Mass Spectroscopy (GC-MS) then are followed to analyze the compounds. All the identified compounds are tabulated and plotted. The result showed that high quality sample yielded the highest number of compounds, 35, followed by commercial, 32 and low quality sample, 9. It revealed that the highest relative peak areas (%) for compounds in three types of sample are different to each other. They are 8.98% (γ-gurjunene) in high quality, 11.95% (agarospirol) in low quality and 17.97% (hexadecanol) in commercial. Nine compounds, α-guaiene, βselinene, agarospirol, guaia-1(10),11-dien-15-al, pentadecanoic acid, hexadecanol, eudesmol, guaia-1(10),11-dien-15,2-olide and 2-(2-phenylethyl) chromone exist in all samples but varied in their relative peak area (%). The finding using proposed method, DTD is significant, hence it will benefit further analysis especially for agarwood grading.","publication_date":{"day":null,"month":null,"year":2016,"errors":{}},"publication_name":"2016 IEEE 12th International Colloquium on Signal Processing \u0026 Its Applications (CSPA)","grobid_abstract_attachment_id":88289190},"translated_abstract":null,"internal_url":"https://www.academia.edu/82652825/Direct_Thermal_Desorption_DTD_extraction_for_different_qualities_of_agarwood_incense_analysis","translated_internal_url":"","created_at":"2022-07-05T09:57:54.367-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":44246,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":88289190,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88289190/thumbnails/1.jpg","file_name":"fist-2016-mastura-Direct_20Thermal_20Desorption_20DTD_20Extraction.pdf","download_url":"https://www.academia.edu/attachments/88289190/download_file?st=MTczMjcxNjgwNiw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Direct_Thermal_Desorption_DTD_extraction.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88289190/fist-2016-mastura-Direct_20Thermal_20Desorption_20DTD_20Extraction-libre.pdf?1657042888=\u0026response-content-disposition=attachment%3B+filename%3DDirect_Thermal_Desorption_DTD_extraction.pdf\u0026Expires=1732720406\u0026Signature=IVbkT3j3xpn0o70AU0pRcR-d1r04xJr-ZbItNiT4r9LyXi~FRSowoPLNzj8qSGRzbQ9aLb5iIjwQSd-qodOXkvxAYoX6-~3FKEbZIbwCupj~LWLqKYhpb1KbuTFLwhhDsB~uO1TTe6uVHY1ta-KZWPysL~iOkYgQ59ZJJ-~I73mvPWySsUFaRwDRTC3u67h4FXv-zUfJLMrYpsvq5VrJqeQV9Mc4r-eYexiTfNCgbT78WB-WRvWnER0w1A0qEkTEPbKlJ4oPC8XhigvzFKa6P-HhKia1CHLBfDDxjeBOLttdj4oQPGBl86vg5RigMEAwCd1wO-A23tdMJVsyCdMDVw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Direct_Thermal_Desorption_DTD_extraction_for_different_qualities_of_agarwood_incense_analysis","translated_slug":"","page_count":1,"language":"en","content_type":"Work","owner":{"id":44246,"first_name":"Saiful Nizam","middle_initials":null,"last_name":"Tajuddin","page_name":"SaifulNizamTajuddin","domain_name":"ump","created_at":"2009-05-20T16:06:27.322-07:00","display_name":"Saiful Nizam Tajuddin","url":"https://ump.academia.edu/SaifulNizamTajuddin"},"attachments":[{"id":88289190,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88289190/thumbnails/1.jpg","file_name":"fist-2016-mastura-Direct_20Thermal_20Desorption_20DTD_20Extraction.pdf","download_url":"https://www.academia.edu/attachments/88289190/download_file?st=MTczMjcxNjgwNiw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Direct_Thermal_Desorption_DTD_extraction.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88289190/fist-2016-mastura-Direct_20Thermal_20Desorption_20DTD_20Extraction-libre.pdf?1657042888=\u0026response-content-disposition=attachment%3B+filename%3DDirect_Thermal_Desorption_DTD_extraction.pdf\u0026Expires=1732720406\u0026Signature=IVbkT3j3xpn0o70AU0pRcR-d1r04xJr-ZbItNiT4r9LyXi~FRSowoPLNzj8qSGRzbQ9aLb5iIjwQSd-qodOXkvxAYoX6-~3FKEbZIbwCupj~LWLqKYhpb1KbuTFLwhhDsB~uO1TTe6uVHY1ta-KZWPysL~iOkYgQ59ZJJ-~I73mvPWySsUFaRwDRTC3u67h4FXv-zUfJLMrYpsvq5VrJqeQV9Mc4r-eYexiTfNCgbT78WB-WRvWnER0w1A0qEkTEPbKlJ4oPC8XhigvzFKa6P-HhKia1CHLBfDDxjeBOLttdj4oQPGBl86vg5RigMEAwCd1wO-A23tdMJVsyCdMDVw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":519511,"name":"Incense","url":"https://www.academia.edu/Documents/in/Incense"},{"id":883068,"name":"Agarwood","url":"https://www.academia.edu/Documents/in/Agarwood"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="82652818"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/82652818/Acrylic_microspheres_based_optosensor_for_visual_detection_of_nitrite"><img alt="Research paper thumbnail of Acrylic microspheres-based optosensor for visual detection of nitrite" class="work-thumbnail" src="https://attachments.academia-assets.com/88289187/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/82652818/Acrylic_microspheres_based_optosensor_for_visual_detection_of_nitrite">Acrylic microspheres-based optosensor for visual detection of nitrite</a></div><div class="wp-workCard_item"><span>Food Chemistry</span><span>, 2016</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="75ac27fe942d4d7489e58fbfd4f3c470" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{&quot;attachment_id&quot;:88289187,&quot;asset_id&quot;:82652818,&quot;asset_type&quot;:&quot;Work&quot;,&quot;button_location&quot;:&quot;profile&quot;}" href="https://www.academia.edu/attachments/88289187/download_file?st=MTczMjcxNjgwNiw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82652818"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82652818"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82652818; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=82652818]").text(description); $(".js-view-count[data-work-id=82652818]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 82652818; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='82652818']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 82652818, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "75ac27fe942d4d7489e58fbfd4f3c470" } } $('.js-work-strip[data-work-id=82652818]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":82652818,"title":"Acrylic microspheres-based optosensor for visual detection of nitrite","translated_title":"","metadata":{"publisher":"Elsevier BV","grobid_abstract":"A new optosensor for visual quantitation of nitrite (NO 2 −) ion has been fabricated by physically immobilizing Safranine O (SO) reagent onto a self-adhesive poly(n-butyl acrylate) [poly(nBA)] microspheres matrix, which was synthesized via facile microemulsion UV lithography technique. Evaluation and optimization of the optical NO 2 − ion sensor was performed with a fiber optic reflectance spectrophotometer. Scanning electron micrograph showed well-shaped and smooth spherical morphology of the poly(nBA) microspheres with a narrow particles size distribution from 0.6 μm up to 1.8 μm. The uniform size distribution of the acrylic microspheres promoted homogeneity of the immobilized SO reagent molecules on the microspheres' surfaces, thereby enhanced the sensing response reproducibility (\u003c5% RSD) with a linear range obtained from 10 to 100 ppm NO 2 − ion. The micro-sized acrylic immobilization matrix demonstrated no significant barrier for diffusion of reactant and product, and served as a good solid state ion transport medium for reflectometric nitrite determination in food samples.","publication_date":{"day":null,"month":null,"year":2016,"errors":{}},"publication_name":"Food Chemistry","grobid_abstract_attachment_id":88289187},"translated_abstract":null,"internal_url":"https://www.academia.edu/82652818/Acrylic_microspheres_based_optosensor_for_visual_detection_of_nitrite","translated_internal_url":"","created_at":"2022-07-05T09:57:52.839-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":44246,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":88289187,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88289187/thumbnails/1.jpg","file_name":"Acrylic_20Microspheres-Based_20Optosensor_20for_20Visual_20Detection_20Of_20Nitrite.pdf","download_url":"https://www.academia.edu/attachments/88289187/download_file?st=MTczMjcxNjgwNiw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Acrylic_microspheres_based_optosensor_fo.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88289187/Acrylic_20Microspheres-Based_20Optosensor_20for_20Visual_20Detection_20Of_20Nitrite-libre.pdf?1657042887=\u0026response-content-disposition=attachment%3B+filename%3DAcrylic_microspheres_based_optosensor_fo.pdf\u0026Expires=1732720406\u0026Signature=Z7sRPept0RCW0GzWqmP8xqPaHewpwE53z0J9Cy1ZDtPwAYKZ7Ok3VAUR9jYk-EFwoYRG3YRPgkgn2gOcvhpTVsjth-D1dHVDeyX5mpNpIbSxPHJFDB43tc1X2m5gg~KAN0XWXI~HJgspMwo5pTrh3aHA3flAoQs4PWOEVWBjp7HJg8J-~yZAgKjCOHlO1ZR-n8unD6XvjITC2hjA~QgsD5EWsEIEGFG9qbudICBiYYdUlqK3Uc~iHidU~gsfCGBWzR5~CIanMy~tX7tKst5vIpiwP8PvIuqQdFHIfoWlzXclm1mtIbM7hHtTt4Qs0CybhZagnzgczmiZGuVRGHh4jw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Acrylic_microspheres_based_optosensor_for_visual_detection_of_nitrite","translated_slug":"","page_count":1,"language":"en","content_type":"Work","owner":{"id":44246,"first_name":"Saiful Nizam","middle_initials":null,"last_name":"Tajuddin","page_name":"SaifulNizamTajuddin","domain_name":"ump","created_at":"2009-05-20T16:06:27.322-07:00","display_name":"Saiful Nizam Tajuddin","url":"https://ump.academia.edu/SaifulNizamTajuddin"},"attachments":[{"id":88289187,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88289187/thumbnails/1.jpg","file_name":"Acrylic_20Microspheres-Based_20Optosensor_20for_20Visual_20Detection_20Of_20Nitrite.pdf","download_url":"https://www.academia.edu/attachments/88289187/download_file?st=MTczMjcxNjgwNiw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Acrylic_microspheres_based_optosensor_fo.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88289187/Acrylic_20Microspheres-Based_20Optosensor_20for_20Visual_20Detection_20Of_20Nitrite-libre.pdf?1657042887=\u0026response-content-disposition=attachment%3B+filename%3DAcrylic_microspheres_based_optosensor_fo.pdf\u0026Expires=1732720406\u0026Signature=Z7sRPept0RCW0GzWqmP8xqPaHewpwE53z0J9Cy1ZDtPwAYKZ7Ok3VAUR9jYk-EFwoYRG3YRPgkgn2gOcvhpTVsjth-D1dHVDeyX5mpNpIbSxPHJFDB43tc1X2m5gg~KAN0XWXI~HJgspMwo5pTrh3aHA3flAoQs4PWOEVWBjp7HJg8J-~yZAgKjCOHlO1ZR-n8unD6XvjITC2hjA~QgsD5EWsEIEGFG9qbudICBiYYdUlqK3Uc~iHidU~gsfCGBWzR5~CIanMy~tX7tKst5vIpiwP8PvIuqQdFHIfoWlzXclm1mtIbM7hHtTt4Qs0CybhZagnzgczmiZGuVRGHh4jw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":511,"name":"Materials Science","url":"https://www.academia.edu/Documents/in/Materials_Science"},{"id":523,"name":"Chemistry","url":"https://www.academia.edu/Documents/in/Chemistry"},{"id":16137,"name":"Food Chemistry","url":"https://www.academia.edu/Documents/in/Food_Chemistry"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":28235,"name":"Multidisciplinary","url":"https://www.academia.edu/Documents/in/Multidisciplinary"},{"id":159980,"name":"Phenazines","url":"https://www.academia.edu/Documents/in/Phenazines"},{"id":162978,"name":"Nitrite","url":"https://www.academia.edu/Documents/in/Nitrite"},{"id":390245,"name":"Particle Size","url":"https://www.academia.edu/Documents/in/Particle_Size"},{"id":794074,"name":"Microspheres","url":"https://www.academia.edu/Documents/in/Microspheres"},{"id":1654024,"name":"Nitrites","url":"https://www.academia.edu/Documents/in/Nitrites"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="82652806"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/82652806/Major_Volatile_Chemical_Compounds_of_Agarwood_Oils_from_Malaysia_Based_on_Z_Score_Technique"><img alt="Research paper thumbnail of Major Volatile Chemical Compounds of Agarwood Oils from Malaysia Based on Z-Score Technique" class="work-thumbnail" src="https://attachments.academia-assets.com/88289182/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/82652806/Major_Volatile_Chemical_Compounds_of_Agarwood_Oils_from_Malaysia_Based_on_Z_Score_Technique">Major Volatile Chemical Compounds of Agarwood Oils from Malaysia Based on Z-Score Technique</a></div><div class="wp-workCard_item"><span>Chemistry of Natural Compounds</span><span>, 2015</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="fda2c35f014bd068739fc7085baf3f1b" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{&quot;attachment_id&quot;:88289182,&quot;asset_id&quot;:82652806,&quot;asset_type&quot;:&quot;Work&quot;,&quot;button_location&quot;:&quot;profile&quot;}" href="https://www.academia.edu/attachments/88289182/download_file?st=MTczMjcxNjgwNiw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82652806"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82652806"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82652806; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=82652806]").text(description); $(".js-view-count[data-work-id=82652806]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 82652806; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='82652806']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 82652806, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "fda2c35f014bd068739fc7085baf3f1b" } } $('.js-work-strip[data-work-id=82652806]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":82652806,"title":"Major Volatile Chemical Compounds of Agarwood Oils from Malaysia Based on Z-Score Technique","translated_title":"","metadata":{"publisher":"Springer Nature","grobid_abstract":"Agarwood oil has been widely used in a number of different applications, including its use as a perfumery ingredient in incense products and a therapeutic agent in traditional medicines [1-8]. The oil itself can be obtained from the scented wood of plants belonging to the Aquilaria species (Thymelaeaceae) [1]. Agarwood oil consists of a complex mixture of chemicals, including sesquiterpenes, oxygenated sesquiterpenes, and chromone derivatives \u003e7-9@. These compounds can be used to differentiate agarwood oil into different grades and therefore have a significant impact on its quality and commercial value [8]. Many factors can influence the quality of agarwood oil, but the two most important are the chemical composition of the oil and the temperature used during the extraction of the oil from plant material [8, 10]. Agarwood oil is currently extracted from plant materials using a combination of GC/MS and solid-phase microextraction (SPME) techniques, which allow for the volatile chemical compounds characteristic of its odor to be successfully extracted from a complex mixture without using solvents [3, 11].","publication_date":{"day":null,"month":null,"year":2015,"errors":{}},"publication_name":"Chemistry of Natural Compounds","grobid_abstract_attachment_id":88289182},"translated_abstract":null,"internal_url":"https://www.academia.edu/82652806/Major_Volatile_Chemical_Compounds_of_Agarwood_Oils_from_Malaysia_Based_on_Z_Score_Technique","translated_internal_url":"","created_at":"2022-07-05T09:57:51.150-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":44246,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":88289182,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88289182/thumbnails/1.jpg","file_name":"fist-2015-saiful-Major_20Volatile_20Chemical_20Compounds1.pdf","download_url":"https://www.academia.edu/attachments/88289182/download_file?st=MTczMjcxNjgwNiw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Major_Volatile_Chemical_Compounds_of_Aga.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88289182/fist-2015-saiful-Major_20Volatile_20Chemical_20Compounds1-libre.pdf?1657042886=\u0026response-content-disposition=attachment%3B+filename%3DMajor_Volatile_Chemical_Compounds_of_Aga.pdf\u0026Expires=1732720406\u0026Signature=F~zTR9x2JWn8FeadWceVcfI9IEy9MBb6ofxiJSpvWR8~AXvpx7xds~z8GtloZCkIc4zumJ8leaKS-CBlCanK6TYebvRc9wEEAT9Sx8-7h4LBDHEPkTgrEL~Q5XM3jxZ-vMyrNnbnE0ieTguV3CLwIksdr4jms0qpupg1aIUcJ9WfbAjmkONvManGDIOqKJpUhEFIgNj4hYd7ajFAV0zUa~rv0NO2hC1N4fj7xG-beyTUEkt4Y1sdI4JqXA29n2MXvoh25an47iOEDZjbsEB785-LjLtSkAByiQQkVSVQT21OJxmuJcC2CNVlqxNnPLM849DxBMX-Ibng2bvSZ90N-w__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Major_Volatile_Chemical_Compounds_of_Agarwood_Oils_from_Malaysia_Based_on_Z_Score_Technique","translated_slug":"","page_count":1,"language":"en","content_type":"Work","owner":{"id":44246,"first_name":"Saiful Nizam","middle_initials":null,"last_name":"Tajuddin","page_name":"SaifulNizamTajuddin","domain_name":"ump","created_at":"2009-05-20T16:06:27.322-07:00","display_name":"Saiful Nizam Tajuddin","url":"https://ump.academia.edu/SaifulNizamTajuddin"},"attachments":[{"id":88289182,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88289182/thumbnails/1.jpg","file_name":"fist-2015-saiful-Major_20Volatile_20Chemical_20Compounds1.pdf","download_url":"https://www.academia.edu/attachments/88289182/download_file?st=MTczMjcxNjgwNiw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Major_Volatile_Chemical_Compounds_of_Aga.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88289182/fist-2015-saiful-Major_20Volatile_20Chemical_20Compounds1-libre.pdf?1657042886=\u0026response-content-disposition=attachment%3B+filename%3DMajor_Volatile_Chemical_Compounds_of_Aga.pdf\u0026Expires=1732720406\u0026Signature=F~zTR9x2JWn8FeadWceVcfI9IEy9MBb6ofxiJSpvWR8~AXvpx7xds~z8GtloZCkIc4zumJ8leaKS-CBlCanK6TYebvRc9wEEAT9Sx8-7h4LBDHEPkTgrEL~Q5XM3jxZ-vMyrNnbnE0ieTguV3CLwIksdr4jms0qpupg1aIUcJ9WfbAjmkONvManGDIOqKJpUhEFIgNj4hYd7ajFAV0zUa~rv0NO2hC1N4fj7xG-beyTUEkt4Y1sdI4JqXA29n2MXvoh25an47iOEDZjbsEB785-LjLtSkAByiQQkVSVQT21OJxmuJcC2CNVlqxNnPLM849DxBMX-Ibng2bvSZ90N-w__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":523,"name":"Chemistry","url":"https://www.academia.edu/Documents/in/Chemistry"},{"id":531,"name":"Organic Chemistry","url":"https://www.academia.edu/Documents/in/Organic_Chemistry"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="82652802"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/82652802/Reflectometric_Optosensor_for_Visual_Detection_of_Ammonia_Based_on_Silica_Pellet_Sensing_Material"><img alt="Research paper thumbnail of Reflectometric Optosensor for Visual Detection of Ammonia Based on Silica Pellet Sensing Material" class="work-thumbnail" src="https://attachments.academia-assets.com/88289184/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/82652802/Reflectometric_Optosensor_for_Visual_Detection_of_Ammonia_Based_on_Silica_Pellet_Sensing_Material">Reflectometric Optosensor for Visual Detection of Ammonia Based on Silica Pellet Sensing Material</a></div><div class="wp-workCard_item"><span>ICGSCE 2014</span><span>, 2015</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="a12f06f9e984074644774ad815ad2a09" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{&quot;attachment_id&quot;:88289184,&quot;asset_id&quot;:82652802,&quot;asset_type&quot;:&quot;Work&quot;,&quot;button_location&quot;:&quot;profile&quot;}" href="https://www.academia.edu/attachments/88289184/download_file?st=MTczMjcxNjgwNyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82652802"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82652802"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82652802; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=82652802]").text(description); $(".js-view-count[data-work-id=82652802]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 82652802; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='82652802']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 82652802, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "a12f06f9e984074644774ad815ad2a09" } } $('.js-work-strip[data-work-id=82652802]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":82652802,"title":"Reflectometric Optosensor for Visual Detection of Ammonia Based on Silica Pellet Sensing Material","translated_title":"","metadata":{"grobid_abstract":"Ammonia (NH 3) has been widely used in the manufacture of fertilizers that applied to soil, but the high consumption of fertilizers will end up with water pollution. Owing to the deleterious effects of NH 3 to human and environment, a new optosensor for NH 3 has been fabricated based on silica pellet sensing material. Microsilica was synthesized by sol-gel method in the presence of cobalt(II) chloride hexahydrate (CoCl 2 •6H 2 O), followed by manual grinding process to obtain microsized silica particles. Due to the non-transparent pellet material used for NH 3 sensing, a fiber optic reflectance spectrophotometer was employed for monitoring of reflectance signal transduction event as the pellet colour changed from pink to blue hue upon reaction with NH 3 at optimum pH 13. Due to the high porosity and surface area of silica microparticles were used as immobilization matrix, the immobilized Co 2+ ion demonstrated broad dynamic linear range from 18 to 100 ppm NH 3 with a fast response time of 3 min. The reflectometric sensing protocol involves a single-step NH 3 assay which merely requires dispensing small aliquots of NH 3 onto the reaction surface of the pellet sensor. This makes on-site","publication_date":{"day":null,"month":null,"year":2015,"errors":{}},"publication_name":"ICGSCE 2014","grobid_abstract_attachment_id":88289184},"translated_abstract":null,"internal_url":"https://www.academia.edu/82652802/Reflectometric_Optosensor_for_Visual_Detection_of_Ammonia_Based_on_Silica_Pellet_Sensing_Material","translated_internal_url":"","created_at":"2022-07-05T09:57:49.676-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":44246,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":88289184,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88289184/thumbnails/1.jpg","file_name":"Reflectometric-Optosensor-for-Visual-Detection-of-Ammonia-Based-on-Silica-Pellet-Sensing-Material.pdf","download_url":"https://www.academia.edu/attachments/88289184/download_file?st=MTczMjcxNjgwNyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Reflectometric_Optosensor_for_Visual_Det.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88289184/Reflectometric-Optosensor-for-Visual-Detection-of-Ammonia-Based-on-Silica-Pellet-Sensing-Material-libre.pdf?1657042888=\u0026response-content-disposition=attachment%3B+filename%3DReflectometric_Optosensor_for_Visual_Det.pdf\u0026Expires=1732720407\u0026Signature=Si06TrYlhyvJdb0qyxsWzf5H5vGuEI7dDka1Dv1Jpa0Tdv2Wz6QahUVXZ41Wk16Notx~o22cehlYUW3MK5eXxGEjbaX1uKkKHhxW1~x1Ii2S-ZNaywAm2ojR9Ww~uIMLj7cbmuJcAIQT5txSbV1Os8tL1pnJm6lvB5Lch-R~twA3kCQs4YFFPBlE0pbcLfQdC1n5cQHm-LCdNzGb0Nf-e9Ll6bjzz8Rf3zu297YjoeR9~2-zTMEf-psCdIBX~4n7O9FL2JfsYOJB4aVfmywD3tg2w8uFSje7XZ1TcIb2~kUmfNsK7WRx5lWUnYhxGNZmB5mZt8heKzouDeTQJ1bq8A__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Reflectometric_Optosensor_for_Visual_Detection_of_Ammonia_Based_on_Silica_Pellet_Sensing_Material","translated_slug":"","page_count":9,"language":"en","content_type":"Work","owner":{"id":44246,"first_name":"Saiful Nizam","middle_initials":null,"last_name":"Tajuddin","page_name":"SaifulNizamTajuddin","domain_name":"ump","created_at":"2009-05-20T16:06:27.322-07:00","display_name":"Saiful Nizam Tajuddin","url":"https://ump.academia.edu/SaifulNizamTajuddin"},"attachments":[{"id":88289184,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88289184/thumbnails/1.jpg","file_name":"Reflectometric-Optosensor-for-Visual-Detection-of-Ammonia-Based-on-Silica-Pellet-Sensing-Material.pdf","download_url":"https://www.academia.edu/attachments/88289184/download_file?st=MTczMjcxNjgwNyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Reflectometric_Optosensor_for_Visual_Det.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88289184/Reflectometric-Optosensor-for-Visual-Detection-of-Ammonia-Based-on-Silica-Pellet-Sensing-Material-libre.pdf?1657042888=\u0026response-content-disposition=attachment%3B+filename%3DReflectometric_Optosensor_for_Visual_Det.pdf\u0026Expires=1732720407\u0026Signature=Si06TrYlhyvJdb0qyxsWzf5H5vGuEI7dDka1Dv1Jpa0Tdv2Wz6QahUVXZ41Wk16Notx~o22cehlYUW3MK5eXxGEjbaX1uKkKHhxW1~x1Ii2S-ZNaywAm2ojR9Ww~uIMLj7cbmuJcAIQT5txSbV1Os8tL1pnJm6lvB5Lch-R~twA3kCQs4YFFPBlE0pbcLfQdC1n5cQHm-LCdNzGb0Nf-e9Ll6bjzz8Rf3zu297YjoeR9~2-zTMEf-psCdIBX~4n7O9FL2JfsYOJB4aVfmywD3tg2w8uFSje7XZ1TcIb2~kUmfNsK7WRx5lWUnYhxGNZmB5mZt8heKzouDeTQJ1bq8A__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":511,"name":"Materials Science","url":"https://www.academia.edu/Documents/in/Materials_Science"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="82652795"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/82652795/Analysis_of_High_Quality_Agar_wood_Oil_Chemical_Compounds_By_Means_Of_SPME_GC_MS_and_Z_Score_Technique"><img alt="Research paper thumbnail of Analysis of High Quality Agar wood Oil Chemical Compounds By Means Of SPME/GC-MS and Z-Score Technique" class="work-thumbnail" src="https://attachments.academia-assets.com/88289226/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/82652795/Analysis_of_High_Quality_Agar_wood_Oil_Chemical_Compounds_By_Means_Of_SPME_GC_MS_and_Z_Score_Technique">Analysis of High Quality Agar wood Oil Chemical Compounds By Means Of SPME/GC-MS and Z-Score Technique</a></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="60186fc0927dac6b7ea30b3dc5b8f4b2" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{&quot;attachment_id&quot;:88289226,&quot;asset_id&quot;:82652795,&quot;asset_type&quot;:&quot;Work&quot;,&quot;button_location&quot;:&quot;profile&quot;}" href="https://www.academia.edu/attachments/88289226/download_file?st=MTczMjcxNjgwNyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82652795"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82652795"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82652795; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=82652795]").text(description); $(".js-view-count[data-work-id=82652795]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 82652795; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='82652795']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 82652795, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "60186fc0927dac6b7ea30b3dc5b8f4b2" } } $('.js-work-strip[data-work-id=82652795]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":82652795,"title":"Analysis of High Quality Agar wood Oil Chemical Compounds By Means Of SPME/GC-MS and Z-Score Technique","translated_title":"","metadata":{"grobid_abstract":"Currently, the grading of the agarwood oil to the high and low quality is done using manually such as human trained grader. It was performed based on the agarwood oil physical properties such as human experience and perception and the oil colour, odor and long lasting aroma. Several researchers found that chemical profiles of the oil should be utilized to overcome the problem facing by manual techniques i.e. human nose cannot tolerate with the many oils at the same time, so that accurate result can be obtained in grading the agarwood oil. The analysis involved of SPME/GC-MS and Z-score techniques have been proposed in this study to analyze the chemical compounds especially from the high quality samples of agarwood oil (Aquilariamalaccensis) from Malaysia. Two SPME fibers were used such as divinylbenzene-carboxen-polydimethylsiloxane (DVB-CAR-PDMS) and polydimethylsiloxane (PDMS) in extracting the oils' compound under three different sampling temperature conditions such as 40˚C, 60˚C and 80˚C. The chemical compounds extracted by SPME/GC-MS were analyzed. The chemical compounds as identified by Z-score as significant compounds were discussed before the conclusion is made. It was found that 10-epi-ϒeudesmol, aromadendrane, β-agarofuran, α-agarofuran and ϒ-eudesmol were highlighted as significant for high quality agarwood oil and can be used as a marker compounds in classifying the agarwood oil.","grobid_abstract_attachment_id":88289226},"translated_abstract":null,"internal_url":"https://www.academia.edu/82652795/Analysis_of_High_Quality_Agar_wood_Oil_Chemical_Compounds_By_Means_Of_SPME_GC_MS_and_Z_Score_Technique","translated_internal_url":"","created_at":"2022-07-05T09:57:48.209-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":44246,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":88289226,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88289226/thumbnails/1.jpg","file_name":"Nurlaila.pdf","download_url":"https://www.academia.edu/attachments/88289226/download_file?st=MTczMjcxNjgwNyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Analysis_of_High_Quality_Agar_wood_Oil_C.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88289226/Nurlaila-libre.pdf?1657042886=\u0026response-content-disposition=attachment%3B+filename%3DAnalysis_of_High_Quality_Agar_wood_Oil_C.pdf\u0026Expires=1732720407\u0026Signature=IwbQZTOiUkYabv5wykndYteVk3vIgXY2sOA3MBb~9rUa1DArKffDjYbn9Or9QztAaZfTDkKoBn9fBgDAQVypjmN~q6ZdAcq5W3Ov36-bZ98pe8hXlxZkjCjZPaPSjlwexSFur408l6E4joq0ig~FG8Ngqg7QLuZo7AaY3Y1SpNTTDxHqookTQjzJxDgJTm9vpLk7WkE-7V0luvbWVx2iQGqouhJPtGBasSPqzMJ6BTuvtyu6yhvnTydWZpJBLMaCcLR7fRlIUIYEqDnwt~ZCDUqsvw5ZuXnToGPdV~T6YXmLq7xBTFkC-4gJvAHX8pz9IClUnksmuDZZ16QlE4TjaA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Analysis_of_High_Quality_Agar_wood_Oil_Chemical_Compounds_By_Means_Of_SPME_GC_MS_and_Z_Score_Technique","translated_slug":"","page_count":11,"language":"en","content_type":"Work","owner":{"id":44246,"first_name":"Saiful Nizam","middle_initials":null,"last_name":"Tajuddin","page_name":"SaifulNizamTajuddin","domain_name":"ump","created_at":"2009-05-20T16:06:27.322-07:00","display_name":"Saiful Nizam Tajuddin","url":"https://ump.academia.edu/SaifulNizamTajuddin"},"attachments":[{"id":88289226,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88289226/thumbnails/1.jpg","file_name":"Nurlaila.pdf","download_url":"https://www.academia.edu/attachments/88289226/download_file?st=MTczMjcxNjgwNyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Analysis_of_High_Quality_Agar_wood_Oil_C.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88289226/Nurlaila-libre.pdf?1657042886=\u0026response-content-disposition=attachment%3B+filename%3DAnalysis_of_High_Quality_Agar_wood_Oil_C.pdf\u0026Expires=1732720407\u0026Signature=IwbQZTOiUkYabv5wykndYteVk3vIgXY2sOA3MBb~9rUa1DArKffDjYbn9Or9QztAaZfTDkKoBn9fBgDAQVypjmN~q6ZdAcq5W3Ov36-bZ98pe8hXlxZkjCjZPaPSjlwexSFur408l6E4joq0ig~FG8Ngqg7QLuZo7AaY3Y1SpNTTDxHqookTQjzJxDgJTm9vpLk7WkE-7V0luvbWVx2iQGqouhJPtGBasSPqzMJ6BTuvtyu6yhvnTydWZpJBLMaCcLR7fRlIUIYEqDnwt~ZCDUqsvw5ZuXnToGPdV~T6YXmLq7xBTFkC-4gJvAHX8pz9IClUnksmuDZZ16QlE4TjaA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":523,"name":"Chemistry","url":"https://www.academia.edu/Documents/in/Chemistry"},{"id":4656,"name":"Chromatography","url":"https://www.academia.edu/Documents/in/Chromatography"},{"id":529560,"name":"Gas Chromatography/mass Spectrometry","url":"https://www.academia.edu/Documents/in/Gas_Chromatography_mass_Spectrometry"},{"id":883068,"name":"Agarwood","url":"https://www.academia.edu/Documents/in/Agarwood"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="82652790"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/82652790/Analysis_of_chemical_compounds_of_agarwood_oil_based_on_headspace_solid_phase_microextraction_combined_with_gas_chromatography_mass_spectrometry"><img alt="Research paper thumbnail of Analysis of chemical compounds of agarwood oil based on headspace-solid phase microextraction combined with gas chromatography mass-spectrometry" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/82652790/Analysis_of_chemical_compounds_of_agarwood_oil_based_on_headspace_solid_phase_microextraction_combined_with_gas_chromatography_mass_spectrometry">Analysis of chemical compounds of agarwood oil based on headspace-solid phase microextraction combined with gas chromatography mass-spectrometry</a></div><div class="wp-workCard_item"><span>Proceedings - 2013 IEEE 9th International Colloquium on Signal Processing and its Applications, CSPA 2013</span><span>, 2013</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The quality of the agarwood oils plays an important role as it reflects the price of the oil in t...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The quality of the agarwood oils plays an important role as it reflects the price of the oil in the market. High quality agarwood oil is traded extensively. In order to obtain good quality agarwood oil, temperature condition during the extraction is one of the important parameter instead of type and time of extraction. An analysis of chemical compounds of agarwood oil involves of three different temperature conditions such as 40°C, 60°C and 80°C has been carried out in this study. The analytical work involves HS-SPME combined with GC-MS analysis to extract and identify the chemical compounds composition in agarwood oil. The zscore technique was introduced to identify the significant compounds that contribute to the aroma of agarwood oil. The result shows that five compounds were identified and they were aromadendrane, β-agarofuran, α-agarofuran, 10-epi-□-eudesmol and □-Eudesmol. These compounds were found to have similar pattern of plot but different in chemical composition due to the different chemical properties of the oils.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82652790"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82652790"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82652790; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=82652790]").text(description); $(".js-view-count[data-work-id=82652790]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 82652790; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='82652790']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 82652790, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=82652790]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":82652790,"title":"Analysis of chemical compounds of agarwood oil based on headspace-solid phase microextraction combined with gas chromatography mass-spectrometry","translated_title":"","metadata":{"abstract":"The quality of the agarwood oils plays an important role as it reflects the price of the oil in the market. High quality agarwood oil is traded extensively. In order to obtain good quality agarwood oil, temperature condition during the extraction is one of the important parameter instead of type and time of extraction. An analysis of chemical compounds of agarwood oil involves of three different temperature conditions such as 40°C, 60°C and 80°C has been carried out in this study. The analytical work involves HS-SPME combined with GC-MS analysis to extract and identify the chemical compounds composition in agarwood oil. The zscore technique was introduced to identify the significant compounds that contribute to the aroma of agarwood oil. The result shows that five compounds were identified and they were aromadendrane, β-agarofuran, α-agarofuran, 10-epi-□-eudesmol and □-Eudesmol. These compounds were found to have similar pattern of plot but different in chemical composition due to the different chemical properties of the oils.","publication_date":{"day":null,"month":null,"year":2013,"errors":{}},"publication_name":"Proceedings - 2013 IEEE 9th International Colloquium on Signal Processing and its Applications, CSPA 2013"},"translated_abstract":"The quality of the agarwood oils plays an important role as it reflects the price of the oil in the market. High quality agarwood oil is traded extensively. In order to obtain good quality agarwood oil, temperature condition during the extraction is one of the important parameter instead of type and time of extraction. An analysis of chemical compounds of agarwood oil involves of three different temperature conditions such as 40°C, 60°C and 80°C has been carried out in this study. The analytical work involves HS-SPME combined with GC-MS analysis to extract and identify the chemical compounds composition in agarwood oil. The zscore technique was introduced to identify the significant compounds that contribute to the aroma of agarwood oil. The result shows that five compounds were identified and they were aromadendrane, β-agarofuran, α-agarofuran, 10-epi-□-eudesmol and □-Eudesmol. These compounds were found to have similar pattern of plot but different in chemical composition due to the different chemical properties of the oils.","internal_url":"https://www.academia.edu/82652790/Analysis_of_chemical_compounds_of_agarwood_oil_based_on_headspace_solid_phase_microextraction_combined_with_gas_chromatography_mass_spectrometry","translated_internal_url":"","created_at":"2022-07-05T09:57:46.881-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":44246,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Analysis_of_chemical_compounds_of_agarwood_oil_based_on_headspace_solid_phase_microextraction_combined_with_gas_chromatography_mass_spectrometry","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":44246,"first_name":"Saiful Nizam","middle_initials":null,"last_name":"Tajuddin","page_name":"SaifulNizamTajuddin","domain_name":"ump","created_at":"2009-05-20T16:06:27.322-07:00","display_name":"Saiful Nizam Tajuddin","url":"https://ump.academia.edu/SaifulNizamTajuddin"},"attachments":[],"research_interests":[{"id":184,"name":"Sociology","url":"https://www.academia.edu/Documents/in/Sociology"},{"id":523,"name":"Chemistry","url":"https://www.academia.edu/Documents/in/Chemistry"},{"id":892,"name":"Statistics","url":"https://www.academia.edu/Documents/in/Statistics"},{"id":2141,"name":"Signal Processing","url":"https://www.academia.edu/Documents/in/Signal_Processing"},{"id":4656,"name":"Chromatography","url":"https://www.academia.edu/Documents/in/Chromatography"},{"id":37306,"name":"Quality Control","url":"https://www.academia.edu/Documents/in/Quality_Control"},{"id":60486,"name":"Chemicals","url":"https://www.academia.edu/Documents/in/Chemicals"},{"id":67648,"name":"GC-MS","url":"https://www.academia.edu/Documents/in/GC-MS"},{"id":133177,"name":"Temperature","url":"https://www.academia.edu/Documents/in/Temperature"},{"id":529560,"name":"Gas Chromatography/mass Spectrometry","url":"https://www.academia.edu/Documents/in/Gas_Chromatography_mass_Spectrometry"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="82652785"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/82652785/Neuroprotective_effect_from_stem_bark_extracts_ofKnema_laurinaagainst_H2O2_and_A%CE%B21_42_induced_cell_death_in_human_SH_SY5Y_cells"><img alt="Research paper thumbnail of Neuroprotective effect from stem bark extracts ofKnema laurinaagainst H2O2- and Aβ1–42-induced cell death in human SH-SY5Y cells" class="work-thumbnail" src="https://attachments.academia-assets.com/88289172/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/82652785/Neuroprotective_effect_from_stem_bark_extracts_ofKnema_laurinaagainst_H2O2_and_A%CE%B21_42_induced_cell_death_in_human_SH_SY5Y_cells">Neuroprotective effect from stem bark extracts ofKnema laurinaagainst H2O2- and Aβ1–42-induced cell death in human SH-SY5Y cells</a></div><div class="wp-workCard_item"><span>Natural Product Research</span><span>, 2014</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="0637ca392202b187971dd03e0874856a" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{&quot;attachment_id&quot;:88289172,&quot;asset_id&quot;:82652785,&quot;asset_type&quot;:&quot;Work&quot;,&quot;button_location&quot;:&quot;profile&quot;}" href="https://www.academia.edu/attachments/88289172/download_file?st=MTczMjcxNjgwNyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82652785"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82652785"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82652785; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=82652785]").text(description); $(".js-view-count[data-work-id=82652785]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 82652785; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='82652785']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 82652785, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "0637ca392202b187971dd03e0874856a" } } $('.js-work-strip[data-work-id=82652785]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":82652785,"title":"Neuroprotective effect from stem bark extracts ofKnema laurinaagainst H2O2- and Aβ1–42-induced cell death in human SH-SY5Y cells","translated_title":"","metadata":{"publisher":"Informa UK Limited","grobid_abstract":"The stem bark extracts of Knema laurina inhibited the hydrogen peroxide (H 2 O 2)-and aggregated amyloid b-peptide 1-42 length (Ab 1-42)-induced cell death in differentiated SH-SY5Y cells. Exposure of 250 mM H 2 O 2 or 20 mM Ab 1-42 to the cells for 24 h reduced 50% of cell viability. Pretreatment of cells with ethyl acetate extract (EAE) or n-butanol extract (BE) at 300 mg/mL and then exposure to H 2 O 2 protected the cells against the neurotoxic effects of H 2 O 2. Besides, methanolic extract (ME) at 1 and 10 mg/mL exerted neuroprotective effect on Ab 1-42-induced toxicity to the cells. These results showed that EAE, BE and ME exhibited neuroprotective activities against H 2 O 2-and Ab 1-42-induced cell death. Flavonoids (3-6) and b-sitosterol glucoside (8) were isolated from the EAE. Compound 1 was isolated from hexane extract, and compounds 2 and 7 were isolated from dichloromethane extract. All these observations provide the possible evidence for contribution in the neuroprotective effects.","publication_date":{"day":null,"month":null,"year":2014,"errors":{}},"publication_name":"Natural Product Research","grobid_abstract_attachment_id":88289172},"translated_abstract":null,"internal_url":"https://www.academia.edu/82652785/Neuroprotective_effect_from_stem_bark_extracts_ofKnema_laurinaagainst_H2O2_and_A%CE%B21_42_induced_cell_death_in_human_SH_SY5Y_cells","translated_internal_url":"","created_at":"2022-07-05T09:57:46.016-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":44246,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":88289172,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88289172/thumbnails/1.jpg","file_name":"fist-2015-sharina-Neuroprotective_20effect1.pdf","download_url":"https://www.academia.edu/attachments/88289172/download_file?st=MTczMjcxNjgwNyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Neuroprotective_effect_from_stem_bark_ex.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88289172/fist-2015-sharina-Neuroprotective_20effect1-libre.pdf?1657042886=\u0026response-content-disposition=attachment%3B+filename%3DNeuroprotective_effect_from_stem_bark_ex.pdf\u0026Expires=1732720407\u0026Signature=EWMmO31PLIRSQzdR13D1oazIFwRtAVQJhz9aK~vzl0gzgzebGNrssVpAkjf~RU2maMFyTIJwbHpaKsaj5r2eIe01EPu3Ojy5XzyFwe7lqsKKEQn4TiTy-3EeyqTKA0rICuLSMD01gM3j5gVrqjxLtLF6me0IhN6nJTtBMFGbuOAHgZqADhtJuc~IDdD38LHhOhKb4uO3up4XHlHH5Mjv84cZG~CxUtSUgeBgdXWj7gwsIcX3WvffmfZgtSNd24U7l6Z3fQZIavu9uUrXj8lP73kEvqkaKFhY-Bo8mBnjwtVoEbfTwJGyjLPKewPO2ZSoKz-d6Hv2vSWny1pZNzysEA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Neuroprotective_effect_from_stem_bark_extracts_ofKnema_laurinaagainst_H2O2_and_Aβ1_42_induced_cell_death_in_human_SH_SY5Y_cells","translated_slug":"","page_count":1,"language":"en","content_type":"Work","owner":{"id":44246,"first_name":"Saiful Nizam","middle_initials":null,"last_name":"Tajuddin","page_name":"SaifulNizamTajuddin","domain_name":"ump","created_at":"2009-05-20T16:06:27.322-07:00","display_name":"Saiful Nizam Tajuddin","url":"https://ump.academia.edu/SaifulNizamTajuddin"},"attachments":[{"id":88289172,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88289172/thumbnails/1.jpg","file_name":"fist-2015-sharina-Neuroprotective_20effect1.pdf","download_url":"https://www.academia.edu/attachments/88289172/download_file?st=MTczMjcxNjgwNyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Neuroprotective_effect_from_stem_bark_ex.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88289172/fist-2015-sharina-Neuroprotective_20effect1-libre.pdf?1657042886=\u0026response-content-disposition=attachment%3B+filename%3DNeuroprotective_effect_from_stem_bark_ex.pdf\u0026Expires=1732720407\u0026Signature=EWMmO31PLIRSQzdR13D1oazIFwRtAVQJhz9aK~vzl0gzgzebGNrssVpAkjf~RU2maMFyTIJwbHpaKsaj5r2eIe01EPu3Ojy5XzyFwe7lqsKKEQn4TiTy-3EeyqTKA0rICuLSMD01gM3j5gVrqjxLtLF6me0IhN6nJTtBMFGbuOAHgZqADhtJuc~IDdD38LHhOhKb4uO3up4XHlHH5Mjv84cZG~CxUtSUgeBgdXWj7gwsIcX3WvffmfZgtSNd24U7l6Z3fQZIavu9uUrXj8lP73kEvqkaKFhY-Bo8mBnjwtVoEbfTwJGyjLPKewPO2ZSoKz-d6Hv2vSWny1pZNzysEA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":523,"name":"Chemistry","url":"https://www.academia.edu/Documents/in/Chemistry"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":28235,"name":"Multidisciplinary","url":"https://www.academia.edu/Documents/in/Multidisciplinary"},{"id":37851,"name":"Neuroprotection","url":"https://www.academia.edu/Documents/in/Neuroprotection"},{"id":107795,"name":"Natural Product","url":"https://www.academia.edu/Documents/in/Natural_Product"},{"id":112576,"name":"Cell Death","url":"https://www.academia.edu/Documents/in/Cell_Death"},{"id":274826,"name":"Hydrogen Peroxide","url":"https://www.academia.edu/Documents/in/Hydrogen_Peroxide"},{"id":354056,"name":"Plant extracts","url":"https://www.academia.edu/Documents/in/Plant_extracts"},{"id":890490,"name":"Myristicaceae","url":"https://www.academia.edu/Documents/in/Myristicaceae"},{"id":1953419,"name":"Neuroprotective Agents","url":"https://www.academia.edu/Documents/in/Neuroprotective_Agents"}],"urls":[{"id":21944575,"url":"http://www.tandfonline.com/doi/pdf/10.1080/14786419.2014.985676"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="82652778"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/82652778/Investigation_of_common_compounds_in_high_grade_and_low_grade_Aquilaria_Malaccensis_using_correlation_analysis"><img alt="Research paper thumbnail of Investigation of common compounds in high grade and low grade Aquilaria Malaccensis using correlation analysis" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/82652778/Investigation_of_common_compounds_in_high_grade_and_low_grade_Aquilaria_Malaccensis_using_correlation_analysis">Investigation of common compounds in high grade and low grade Aquilaria Malaccensis using correlation analysis</a></div><div class="wp-workCard_item"><span>2012 IEEE Control and System Graduate Research Colloquium</span><span>, 2012</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT This paper presents a correlation analysis between high grade and low grade of Aquilaria...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">ABSTRACT This paper presents a correlation analysis between high grade and low grade of Aquilaria Malaccensis (AM). Seven selected samples of AM were identified using Gas Chromatograph - Mass Spectra (GC-MS) and several statistical techniques have been employed. The samples were separated into two grades such as high grade and low grade. The analysis involves of normality test such as Shapiro Wilk, standard deviation, skewness, kurtosis and correlation analysis. All the analysis was done using SPSS ver. 15.0. The result shows that there are no significant correlation between high grade and low grade and it is a high correlation among compounds in similar grade. Three common compounds and highly correlated found in both grade and they are hexadecanoic acid, valencene and α-guaiene.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82652778"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82652778"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82652778; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=82652778]").text(description); $(".js-view-count[data-work-id=82652778]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 82652778; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='82652778']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 82652778, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=82652778]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":82652778,"title":"Investigation of common compounds in high grade and low grade Aquilaria Malaccensis using correlation analysis","translated_title":"","metadata":{"abstract":"ABSTRACT This paper presents a correlation analysis between high grade and low grade of Aquilaria Malaccensis (AM). Seven selected samples of AM were identified using Gas Chromatograph - Mass Spectra (GC-MS) and several statistical techniques have been employed. The samples were separated into two grades such as high grade and low grade. The analysis involves of normality test such as Shapiro Wilk, standard deviation, skewness, kurtosis and correlation analysis. All the analysis was done using SPSS ver. 15.0. The result shows that there are no significant correlation between high grade and low grade and it is a high correlation among compounds in similar grade. Three common compounds and highly correlated found in both grade and they are hexadecanoic acid, valencene and α-guaiene.","publication_date":{"day":null,"month":null,"year":2012,"errors":{}},"publication_name":"2012 IEEE Control and System Graduate Research Colloquium"},"translated_abstract":"ABSTRACT This paper presents a correlation analysis between high grade and low grade of Aquilaria Malaccensis (AM). Seven selected samples of AM were identified using Gas Chromatograph - Mass Spectra (GC-MS) and several statistical techniques have been employed. The samples were separated into two grades such as high grade and low grade. The analysis involves of normality test such as Shapiro Wilk, standard deviation, skewness, kurtosis and correlation analysis. All the analysis was done using SPSS ver. 15.0. The result shows that there are no significant correlation between high grade and low grade and it is a high correlation among compounds in similar grade. Three common compounds and highly correlated found in both grade and they are hexadecanoic acid, valencene and α-guaiene.","internal_url":"https://www.academia.edu/82652778/Investigation_of_common_compounds_in_high_grade_and_low_grade_Aquilaria_Malaccensis_using_correlation_analysis","translated_internal_url":"","created_at":"2022-07-05T09:57:45.275-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":44246,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Investigation_of_common_compounds_in_high_grade_and_low_grade_Aquilaria_Malaccensis_using_correlation_analysis","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":44246,"first_name":"Saiful Nizam","middle_initials":null,"last_name":"Tajuddin","page_name":"SaifulNizamTajuddin","domain_name":"ump","created_at":"2009-05-20T16:06:27.322-07:00","display_name":"Saiful Nizam Tajuddin","url":"https://ump.academia.edu/SaifulNizamTajuddin"},"attachments":[],"research_interests":[{"id":72,"name":"Chemical Engineering","url":"https://www.academia.edu/Documents/in/Chemical_Engineering"},{"id":300,"name":"Mathematics","url":"https://www.academia.edu/Documents/in/Mathematics"},{"id":4205,"name":"Data Analysis","url":"https://www.academia.edu/Documents/in/Data_Analysis"},{"id":4656,"name":"Chromatography","url":"https://www.academia.edu/Documents/in/Chromatography"},{"id":5187,"name":"Statistical Analysis","url":"https://www.academia.edu/Documents/in/Statistical_Analysis"},{"id":30596,"name":"Control Systems","url":"https://www.academia.edu/Documents/in/Control_Systems"},{"id":37306,"name":"Quality Control","url":"https://www.academia.edu/Documents/in/Quality_Control"},{"id":69841,"name":"Standard Deviation","url":"https://www.academia.edu/Documents/in/Standard_Deviation"},{"id":81504,"name":"Correlation","url":"https://www.academia.edu/Documents/in/Correlation"},{"id":191286,"name":"Kurtosis","url":"https://www.academia.edu/Documents/in/Kurtosis"},{"id":480922,"name":"Skewness","url":"https://www.academia.edu/Documents/in/Skewness"},{"id":883068,"name":"Agarwood","url":"https://www.academia.edu/Documents/in/Agarwood"},{"id":1171398,"name":"Normality Test","url":"https://www.academia.edu/Documents/in/Normality_Test"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="82652775"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/82652775/Classification_of_the_quality_of_agarwood_oils_from_Malaysia_using_Z_score_technique"><img alt="Research paper thumbnail of Classification of the quality of agarwood oils from Malaysia using Z-score technique" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/82652775/Classification_of_the_quality_of_agarwood_oils_from_Malaysia_using_Z_score_technique">Classification of the quality of agarwood oils from Malaysia using Z-score technique</a></div><div class="wp-workCard_item"><span>2013 IEEE 3rd International Conference on System Engineering and Technology</span><span>, 2013</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT This paper presents classification of the quality of agarwood oils from Malaysia using Z...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">ABSTRACT This paper presents classification of the quality of agarwood oils from Malaysia using Z-score technique. Six agarwood oil samples named as MU, MUS, MN, MNS, R5 and HD are analyzed by GC-MS to examine their chemical profiles. The extraction showed that at least forty three volatile compounds are found. The Z-score technique is proposed to identify the significant chemical compounds of the agarwood oils. It is found that six chemical compounds are recognized. They are β-agarofuran, α-agarofuran, 10-epi-□-eudesmol, α-eudesmol, dihydrocollumellarin and □-eudesmol. These volatile compounds have different abundances pattern responsible to the different qualities of agarwood oil such as high and low. The Z-score applied in this study give a promising result in discriminating agarwood oil to high and low quality. It is important and useful in solving the grading agarwood oil system which is currently done manually.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82652775"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82652775"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82652775; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=82652775]").text(description); $(".js-view-count[data-work-id=82652775]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 82652775; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='82652775']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 82652775, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=82652775]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":82652775,"title":"Classification of the quality of agarwood oils from Malaysia using Z-score technique","translated_title":"","metadata":{"abstract":"ABSTRACT This paper presents classification of the quality of agarwood oils from Malaysia using Z-score technique. Six agarwood oil samples named as MU, MUS, MN, MNS, R5 and HD are analyzed by GC-MS to examine their chemical profiles. The extraction showed that at least forty three volatile compounds are found. The Z-score technique is proposed to identify the significant chemical compounds of the agarwood oils. It is found that six chemical compounds are recognized. They are β-agarofuran, α-agarofuran, 10-epi-□-eudesmol, α-eudesmol, dihydrocollumellarin and □-eudesmol. These volatile compounds have different abundances pattern responsible to the different qualities of agarwood oil such as high and low. The Z-score applied in this study give a promising result in discriminating agarwood oil to high and low quality. It is important and useful in solving the grading agarwood oil system which is currently done manually.","publisher":"IEEE","publication_date":{"day":null,"month":null,"year":2013,"errors":{}},"publication_name":"2013 IEEE 3rd International Conference on System Engineering and Technology"},"translated_abstract":"ABSTRACT This paper presents classification of the quality of agarwood oils from Malaysia using Z-score technique. Six agarwood oil samples named as MU, MUS, MN, MNS, R5 and HD are analyzed by GC-MS to examine their chemical profiles. The extraction showed that at least forty three volatile compounds are found. The Z-score technique is proposed to identify the significant chemical compounds of the agarwood oils. It is found that six chemical compounds are recognized. They are β-agarofuran, α-agarofuran, 10-epi-□-eudesmol, α-eudesmol, dihydrocollumellarin and □-eudesmol. These volatile compounds have different abundances pattern responsible to the different qualities of agarwood oil such as high and low. The Z-score applied in this study give a promising result in discriminating agarwood oil to high and low quality. It is important and useful in solving the grading agarwood oil system which is currently done manually.","internal_url":"https://www.academia.edu/82652775/Classification_of_the_quality_of_agarwood_oils_from_Malaysia_using_Z_score_technique","translated_internal_url":"","created_at":"2022-07-05T09:57:44.176-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":44246,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Classification_of_the_quality_of_agarwood_oils_from_Malaysia_using_Z_score_technique","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":44246,"first_name":"Saiful Nizam","middle_initials":null,"last_name":"Tajuddin","page_name":"SaifulNizamTajuddin","domain_name":"ump","created_at":"2009-05-20T16:06:27.322-07:00","display_name":"Saiful Nizam Tajuddin","url":"https://ump.academia.edu/SaifulNizamTajuddin"},"attachments":[],"research_interests":[{"id":72,"name":"Chemical Engineering","url":"https://www.academia.edu/Documents/in/Chemical_Engineering"},{"id":300,"name":"Mathematics","url":"https://www.academia.edu/Documents/in/Mathematics"},{"id":4656,"name":"Chromatography","url":"https://www.academia.edu/Documents/in/Chromatography"},{"id":5187,"name":"Statistical Analysis","url":"https://www.academia.edu/Documents/in/Statistical_Analysis"},{"id":37306,"name":"Quality Control","url":"https://www.academia.edu/Documents/in/Quality_Control"},{"id":883068,"name":"Agarwood","url":"https://www.academia.edu/Documents/in/Agarwood"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="82652768"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/82652768/The_grading_of_agarwood_oil_quality_using_k_Nearest_Neighbor_k_NN_"><img alt="Research paper thumbnail of The grading of agarwood oil quality using k-Nearest Neighbor (k-NN)" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/82652768/The_grading_of_agarwood_oil_quality_using_k_Nearest_Neighbor_k_NN_">The grading of agarwood oil quality using k-Nearest Neighbor (k-NN)</a></div><div class="wp-workCard_item"><span>2013 IEEE Conference on Systems, Process &amp; Control (ICSPC)</span><span>, 2013</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT This paper presents the application of k-Nearest Neighbor (k-NN) in grading the quality ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">ABSTRACT This paper presents the application of k-Nearest Neighbor (k-NN) in grading the quality agarwood oil. Six agarwood oil samples obtained at Forest Research Institute Malaysia (FRIM) were extracted and their chemical compounds were examined by GC-MS. The work is followed by the grading system using the proposed k-NN. The study shows that there are 10 significant chemical compounds of agarwood oils. They are β-agarofuran, α-agarofuran, 10-epi-□-eudesmol, □-eudesmol, longifolol, oxo-agarospirol, hexadecanol and eudesmol. These compounds are used as inputs to the k-NN algorithm for grading them. The performance of the k-NN is measured and the highest accuracy obtained by k-NN which is above 83.3% shows that k-NN is a reliable classifier in grading the agarwood oil quality.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82652768"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82652768"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82652768; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=82652768]").text(description); $(".js-view-count[data-work-id=82652768]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 82652768; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='82652768']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 82652768, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=82652768]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":82652768,"title":"The grading of agarwood oil quality using k-Nearest Neighbor (k-NN)","translated_title":"","metadata":{"abstract":"ABSTRACT This paper presents the application of k-Nearest Neighbor (k-NN) in grading the quality agarwood oil. Six agarwood oil samples obtained at Forest Research Institute Malaysia (FRIM) were extracted and their chemical compounds were examined by GC-MS. The work is followed by the grading system using the proposed k-NN. The study shows that there are 10 significant chemical compounds of agarwood oils. They are β-agarofuran, α-agarofuran, 10-epi-□-eudesmol, □-eudesmol, longifolol, oxo-agarospirol, hexadecanol and eudesmol. These compounds are used as inputs to the k-NN algorithm for grading them. The performance of the k-NN is measured and the highest accuracy obtained by k-NN which is above 83.3% shows that k-NN is a reliable classifier in grading the agarwood oil quality.","publisher":"IEEE","publication_date":{"day":null,"month":null,"year":2013,"errors":{}},"publication_name":"2013 IEEE Conference on Systems, Process \u0026 Control (ICSPC)"},"translated_abstract":"ABSTRACT This paper presents the application of k-Nearest Neighbor (k-NN) in grading the quality agarwood oil. Six agarwood oil samples obtained at Forest Research Institute Malaysia (FRIM) were extracted and their chemical compounds were examined by GC-MS. The work is followed by the grading system using the proposed k-NN. The study shows that there are 10 significant chemical compounds of agarwood oils. They are β-agarofuran, α-agarofuran, 10-epi-□-eudesmol, □-eudesmol, longifolol, oxo-agarospirol, hexadecanol and eudesmol. These compounds are used as inputs to the k-NN algorithm for grading them. The performance of the k-NN is measured and the highest accuracy obtained by k-NN which is above 83.3% shows that k-NN is a reliable classifier in grading the agarwood oil quality.","internal_url":"https://www.academia.edu/82652768/The_grading_of_agarwood_oil_quality_using_k_Nearest_Neighbor_k_NN_","translated_internal_url":"","created_at":"2022-07-05T09:57:42.656-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":44246,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"The_grading_of_agarwood_oil_quality_using_k_Nearest_Neighbor_k_NN_","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":44246,"first_name":"Saiful Nizam","middle_initials":null,"last_name":"Tajuddin","page_name":"SaifulNizamTajuddin","domain_name":"ump","created_at":"2009-05-20T16:06:27.322-07:00","display_name":"Saiful Nizam Tajuddin","url":"https://ump.academia.edu/SaifulNizamTajuddin"},"attachments":[],"research_interests":[{"id":48,"name":"Engineering","url":"https://www.academia.edu/Documents/in/Engineering"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> </div><div class="profile--tab_content_container js-tab-pane tab-pane" data-section-id="5370794" id="papers"><div class="js-work-strip profile--work_container" data-work-id="82652903"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/82652903/Comparison_of_Different_Kernel_Parameters_using_Support_Vector_Machine_for_Agarwood_Oil_Grading"><img alt="Research paper thumbnail of Comparison of Different Kernel Parameters using Support Vector Machine for Agarwood Oil Grading" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/82652903/Comparison_of_Different_Kernel_Parameters_using_Support_Vector_Machine_for_Agarwood_Oil_Grading">Comparison of Different Kernel Parameters using Support Vector Machine for Agarwood Oil Grading</a></div><div class="wp-workCard_item"><span>2021 IEEE International Conference on Automatic Control &amp;amp; Intelligent Systems (I2CACIS)</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">These days, agarwood oil becoming a high demand throughout the world and Malaysia is not excluded...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">These days, agarwood oil becoming a high demand throughout the world and Malaysia is not excluded. It happens due to the variety of usages such as incense, traditional medicine, and perfumes. However, there has been a lack of research on the development of agarwood oil because there is no any standard grading method of agarwood oil was implemented. As a solution forms, it is very important to come out with a standard method of quality classification for agarwood oil grading’s. By continuing of the research for the development of this standard, the comparison of different type of kernel parameter on nonlinear data based on performance measure has been the main objective of this paper. Support Vector Machine (SVM) has been selected as intelligent technique to comparing the output of different type of kernel parameter used. The analysis work has involving the data taken from the previous researcher that consists of two classes of agarwood oil quality’s samples which is high and low quality. For the output of this research was the classification of two different quality while the input was the different percentage of the compounds added. The desk research has been conducted by using a software application named MATLAB with version R2016a. The research indicates that each of different kernel parameter used have pass the performance measures standard. The verdict in this research for sure will be valuable for the future research works of agarwood oil areas, especially quality classification part.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82652903"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82652903"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82652903; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=82652903]").text(description); $(".js-view-count[data-work-id=82652903]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 82652903; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='82652903']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 82652903, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=82652903]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":82652903,"title":"Comparison of Different Kernel Parameters using Support Vector Machine for Agarwood Oil Grading","translated_title":"","metadata":{"abstract":"These days, agarwood oil becoming a high demand throughout the world and Malaysia is not excluded. It happens due to the variety of usages such as incense, traditional medicine, and perfumes. However, there has been a lack of research on the development of agarwood oil because there is no any standard grading method of agarwood oil was implemented. As a solution forms, it is very important to come out with a standard method of quality classification for agarwood oil grading’s. By continuing of the research for the development of this standard, the comparison of different type of kernel parameter on nonlinear data based on performance measure has been the main objective of this paper. Support Vector Machine (SVM) has been selected as intelligent technique to comparing the output of different type of kernel parameter used. The analysis work has involving the data taken from the previous researcher that consists of two classes of agarwood oil quality’s samples which is high and low quality. For the output of this research was the classification of two different quality while the input was the different percentage of the compounds added. The desk research has been conducted by using a software application named MATLAB with version R2016a. The research indicates that each of different kernel parameter used have pass the performance measures standard. The verdict in this research for sure will be valuable for the future research works of agarwood oil areas, especially quality classification part.","publisher":"IEEE","publication_name":"2021 IEEE International Conference on Automatic Control \u0026amp; Intelligent Systems (I2CACIS)"},"translated_abstract":"These days, agarwood oil becoming a high demand throughout the world and Malaysia is not excluded. It happens due to the variety of usages such as incense, traditional medicine, and perfumes. However, there has been a lack of research on the development of agarwood oil because there is no any standard grading method of agarwood oil was implemented. As a solution forms, it is very important to come out with a standard method of quality classification for agarwood oil grading’s. By continuing of the research for the development of this standard, the comparison of different type of kernel parameter on nonlinear data based on performance measure has been the main objective of this paper. Support Vector Machine (SVM) has been selected as intelligent technique to comparing the output of different type of kernel parameter used. The analysis work has involving the data taken from the previous researcher that consists of two classes of agarwood oil quality’s samples which is high and low quality. For the output of this research was the classification of two different quality while the input was the different percentage of the compounds added. The desk research has been conducted by using a software application named MATLAB with version R2016a. The research indicates that each of different kernel parameter used have pass the performance measures standard. The verdict in this research for sure will be valuable for the future research works of agarwood oil areas, especially quality classification part.","internal_url":"https://www.academia.edu/82652903/Comparison_of_Different_Kernel_Parameters_using_Support_Vector_Machine_for_Agarwood_Oil_Grading","translated_internal_url":"","created_at":"2022-07-05T09:58:13.199-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":44246,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Comparison_of_Different_Kernel_Parameters_using_Support_Vector_Machine_for_Agarwood_Oil_Grading","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":44246,"first_name":"Saiful Nizam","middle_initials":null,"last_name":"Tajuddin","page_name":"SaifulNizamTajuddin","domain_name":"ump","created_at":"2009-05-20T16:06:27.322-07:00","display_name":"Saiful Nizam Tajuddin","url":"https://ump.academia.edu/SaifulNizamTajuddin"},"attachments":[],"research_interests":[{"id":191289,"name":"Support vector machine","url":"https://www.academia.edu/Documents/in/Support_vector_machine"}],"urls":[{"id":21944617,"url":"http://xplorestaging.ieee.org/ielx7/9495828/9495325/09495869.pdf?arnumber=9495869"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="82652896"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/82652896/k_nearest_neighbor_modelling_of_agarwood_oil_samples_available_in_capital_of_Malaysia_market"><img alt="Research paper thumbnail of k-nearest neighbor modelling of agarwood oil samples available in capital of Malaysia market" class="work-thumbnail" src="https://attachments.academia-assets.com/88288902/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/82652896/k_nearest_neighbor_modelling_of_agarwood_oil_samples_available_in_capital_of_Malaysia_market">k-nearest neighbor modelling of agarwood oil samples available in capital of Malaysia market</a></div><div class="wp-workCard_item"><span>International Journal of Electrical and Computer Engineering (IJECE)</span><span>, 2022</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Agarwood oil is consumed during traditional ceremonies and even in medicinal purposes due to its ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Agarwood oil is consumed during traditional ceremonies and even in medicinal purposes due to its effective therapeutic characteristic. As a part of ongoing research on agarwood oil, this paper presented a k-nearest neighbor (k-NN) modelling of agarwood oil samples available in the capital of Malaysia market. The work involved agarwood oil samples from three sources which are lab, local manufacturer and market. The inputs are the chemical compounds and the output is the oil’s resources. The input-output was divided into training and testing dataset with the ratio of 80% to 20%, respectively, before they were fed to the k-NN for model development as well as model validation. During the model development, the k-value was varied from 1 to 5, and their accuracy was observed. The result showed that the k=1 and k=2 shared the similar accuracy for training and testing datasets, which are 98.63% and 100.00%, respectively. This study revealed the capabilities of the k-NN model in classifying ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="5ab8454c215b04c80978f7ceb8a318a5" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{&quot;attachment_id&quot;:88288902,&quot;asset_id&quot;:82652896,&quot;asset_type&quot;:&quot;Work&quot;,&quot;button_location&quot;:&quot;profile&quot;}" href="https://www.academia.edu/attachments/88288902/download_file?st=MTczMjcxNjgwNyw4LjIyMi4yMDguMTQ2&st=MTczMjcxNjgwNSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82652896"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82652896"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82652896; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=82652896]").text(description); $(".js-view-count[data-work-id=82652896]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 82652896; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='82652896']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 82652896, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "5ab8454c215b04c80978f7ceb8a318a5" } } $('.js-work-strip[data-work-id=82652896]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":82652896,"title":"k-nearest neighbor modelling of agarwood oil samples available in capital of Malaysia market","translated_title":"","metadata":{"abstract":"Agarwood oil is consumed during traditional ceremonies and even in medicinal purposes due to its effective therapeutic characteristic. As a part of ongoing research on agarwood oil, this paper presented a k-nearest neighbor (k-NN) modelling of agarwood oil samples available in the capital of Malaysia market. The work involved agarwood oil samples from three sources which are lab, local manufacturer and market. The inputs are the chemical compounds and the output is the oil’s resources. The input-output was divided into training and testing dataset with the ratio of 80% to 20%, respectively, before they were fed to the k-NN for model development as well as model validation. During the model development, the k-value was varied from 1 to 5, and their accuracy was observed. The result showed that the k=1 and k=2 shared the similar accuracy for training and testing datasets, which are 98.63% and 100.00%, respectively. This study revealed the capabilities of the k-NN model in classifying ...","publisher":"Institute of Advanced Engineering and Science","ai_title_tag":"k-NN Classification of Agarwood Oil Samples in Malaysia","publication_date":{"day":null,"month":null,"year":2022,"errors":{}},"publication_name":"International Journal of Electrical and Computer Engineering (IJECE)"},"translated_abstract":"Agarwood oil is consumed during traditional ceremonies and even in medicinal purposes due to its effective therapeutic characteristic. As a part of ongoing research on agarwood oil, this paper presented a k-nearest neighbor (k-NN) modelling of agarwood oil samples available in the capital of Malaysia market. The work involved agarwood oil samples from three sources which are lab, local manufacturer and market. The inputs are the chemical compounds and the output is the oil’s resources. The input-output was divided into training and testing dataset with the ratio of 80% to 20%, respectively, before they were fed to the k-NN for model development as well as model validation. During the model development, the k-value was varied from 1 to 5, and their accuracy was observed. The result showed that the k=1 and k=2 shared the similar accuracy for training and testing datasets, which are 98.63% and 100.00%, respectively. This study revealed the capabilities of the k-NN model in classifying ...","internal_url":"https://www.academia.edu/82652896/k_nearest_neighbor_modelling_of_agarwood_oil_samples_available_in_capital_of_Malaysia_market","translated_internal_url":"","created_at":"2022-07-05T09:58:11.488-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":44246,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":88288902,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88288902/thumbnails/1.jpg","file_name":"15730.pdf","download_url":"https://www.academia.edu/attachments/88288902/download_file?st=MTczMjcxNjgwNyw4LjIyMi4yMDguMTQ2&st=MTczMjcxNjgwNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"k_nearest_neighbor_modelling_of_agarwood.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88288902/15730-libre.pdf?1657042916=\u0026response-content-disposition=attachment%3B+filename%3Dk_nearest_neighbor_modelling_of_agarwood.pdf\u0026Expires=1732720405\u0026Signature=g9feC-zZm-z8onKSCxUhjgs3O52ckD4ft~jrqIbrWCiyQsW~aAbHfRvRXm0vAFTys3n9gze28JgF2C2byeaNx-U9BMr09Sx7oLFYb4oLA4f9HUU53aXpBTEx-xVVb3QQ1Q58Rr6XAUqAeWNrH9qxtm5BKHc2S20k8Q7IfwatjxaGlVKEQqKNr67hhTcS5FsSs2jedMLraRQxZX9swKw9kQK72ftV8jAc9vy~96LUvZi6WFlAU34lSkBtmUTSRrMEDKGlJdb2eT6S9PyVlwlxC35FO2emO8RhpwI6bd7Tor~Edh0qeSk9iRYW0el0bmbNWQISoA4PN200-c98flJXUA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"k_nearest_neighbor_modelling_of_agarwood_oil_samples_available_in_capital_of_Malaysia_market","translated_slug":"","page_count":8,"language":"en","content_type":"Work","owner":{"id":44246,"first_name":"Saiful Nizam","middle_initials":null,"last_name":"Tajuddin","page_name":"SaifulNizamTajuddin","domain_name":"ump","created_at":"2009-05-20T16:06:27.322-07:00","display_name":"Saiful Nizam Tajuddin","url":"https://ump.academia.edu/SaifulNizamTajuddin"},"attachments":[{"id":88288902,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88288902/thumbnails/1.jpg","file_name":"15730.pdf","download_url":"https://www.academia.edu/attachments/88288902/download_file?st=MTczMjcxNjgwNyw4LjIyMi4yMDguMTQ2&st=MTczMjcxNjgwNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"k_nearest_neighbor_modelling_of_agarwood.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88288902/15730-libre.pdf?1657042916=\u0026response-content-disposition=attachment%3B+filename%3Dk_nearest_neighbor_modelling_of_agarwood.pdf\u0026Expires=1732720405\u0026Signature=g9feC-zZm-z8onKSCxUhjgs3O52ckD4ft~jrqIbrWCiyQsW~aAbHfRvRXm0vAFTys3n9gze28JgF2C2byeaNx-U9BMr09Sx7oLFYb4oLA4f9HUU53aXpBTEx-xVVb3QQ1Q58Rr6XAUqAeWNrH9qxtm5BKHc2S20k8Q7IfwatjxaGlVKEQqKNr67hhTcS5FsSs2jedMLraRQxZX9swKw9kQK72ftV8jAc9vy~96LUvZi6WFlAU34lSkBtmUTSRrMEDKGlJdb2eT6S9PyVlwlxC35FO2emO8RhpwI6bd7Tor~Edh0qeSk9iRYW0el0bmbNWQISoA4PN200-c98flJXUA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":88288900,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88288900/thumbnails/1.jpg","file_name":"15730.pdf","download_url":"https://www.academia.edu/attachments/88288900/download_file","bulk_download_file_name":"k_nearest_neighbor_modelling_of_agarwood.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88288900/15730-libre.pdf?1657042915=\u0026response-content-disposition=attachment%3B+filename%3Dk_nearest_neighbor_modelling_of_agarwood.pdf\u0026Expires=1732720405\u0026Signature=gGz2pJZtDzwwZsIf~Q-~Xp4O5CvFJVDv9NDIriIUcdootfs0uEacCYghs0xcwsuIZCEoPN7v~OjSfIiTUMhG1~N07is15H2nFYQkLO8SmPqx~7GyKUawpnO1mZIcZH7TkzgLt9g8KAg17nANYxHSH9x9Cog4HZFZ1pVGm8V4WbOX9Xli0Z12z08MdBZhG5g1FlpdsgXPXlFE~CJ-8rQdpMWuJbwhAYxnxjHGponKP05zSb~gaPx0LgvQheWOj2J3BZAnDbKkbbhvkj4ch0dMS64nJkc9P6e-9Dz-YfLwhZOcoJCjYMUyJjgjtacr6JWtws8quESIYSR87~h-z52tCw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":2008,"name":"Machine Learning","url":"https://www.academia.edu/Documents/in/Machine_Learning"},{"id":106145,"name":"Classification","url":"https://www.academia.edu/Documents/in/Classification"},{"id":559503,"name":"Machine Learning Big Data","url":"https://www.academia.edu/Documents/in/Machine_Learning_Big_Data"}],"urls":[{"id":21944615,"url":"http://ijece.iaescore.com/index.php/IJECE/article/viewFile/26013/15730"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="82652889"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/82652889/Perbezaan_kualiti_minyak_gaharu_menggunakan_rangkaian_neural_Tiruan"><img alt="Research paper thumbnail of Perbezaan kualiti minyak gaharu menggunakan rangkaian neural Tiruan" class="work-thumbnail" src="https://attachments.academia-assets.com/88288894/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/82652889/Perbezaan_kualiti_minyak_gaharu_menggunakan_rangkaian_neural_Tiruan">Perbezaan kualiti minyak gaharu menggunakan rangkaian neural Tiruan</a></div><div class="wp-workCard_item"><span>The Malaysian Journal of Analytical Sciences</span><span>, 2013</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Agarwood oil is well known as expensive oil extracted from the resinous of fragrant heartwood. Th...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Agarwood oil is well known as expensive oil extracted from the resinous of fragrant heartwood. The oil is getting high demand in the market especially from the Middle East countries, China and Japan because of its unique odor. As part of an on-going research in grading the agarwood oil quality, the application of Artificial Neural Network (ANN) is proposed in this study to analyze agarwood oil quality using its chemical profiles. The work involves of selected agarwood oil from low and high quality, the extraction of chemical compounds using GC-MS and Z-score to identify of the significant compounds as input to the network. The ANN programming algorithm was developed and computed automatically via Matlab software version R2010a. Back-propagation training algorithm and sigmoid transfer function were used to optimize the parameters in the training network. The result obtained showed the capability of ANN in analyzing the agarwood oil quality hence beneficial for the further application...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="3c7ea08f5a13ae4eff67f28b4af8350c" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{&quot;attachment_id&quot;:88288894,&quot;asset_id&quot;:82652889,&quot;asset_type&quot;:&quot;Work&quot;,&quot;button_location&quot;:&quot;profile&quot;}" href="https://www.academia.edu/attachments/88288894/download_file?st=MTczMjcxNjgwNyw4LjIyMi4yMDguMTQ2&st=MTczMjcxNjgwNSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82652889"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82652889"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82652889; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=82652889]").text(description); $(".js-view-count[data-work-id=82652889]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 82652889; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='82652889']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 82652889, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "3c7ea08f5a13ae4eff67f28b4af8350c" } } $('.js-work-strip[data-work-id=82652889]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":82652889,"title":"Perbezaan kualiti minyak gaharu menggunakan rangkaian neural Tiruan","translated_title":"","metadata":{"abstract":"Agarwood oil is well known as expensive oil extracted from the resinous of fragrant heartwood. The oil is getting high demand in the market especially from the Middle East countries, China and Japan because of its unique odor. As part of an on-going research in grading the agarwood oil quality, the application of Artificial Neural Network (ANN) is proposed in this study to analyze agarwood oil quality using its chemical profiles. The work involves of selected agarwood oil from low and high quality, the extraction of chemical compounds using GC-MS and Z-score to identify of the significant compounds as input to the network. The ANN programming algorithm was developed and computed automatically via Matlab software version R2010a. Back-propagation training algorithm and sigmoid transfer function were used to optimize the parameters in the training network. The result obtained showed the capability of ANN in analyzing the agarwood oil quality hence beneficial for the further application...","publication_date":{"day":null,"month":null,"year":2013,"errors":{}},"publication_name":"The Malaysian Journal of Analytical Sciences"},"translated_abstract":"Agarwood oil is well known as expensive oil extracted from the resinous of fragrant heartwood. The oil is getting high demand in the market especially from the Middle East countries, China and Japan because of its unique odor. As part of an on-going research in grading the agarwood oil quality, the application of Artificial Neural Network (ANN) is proposed in this study to analyze agarwood oil quality using its chemical profiles. The work involves of selected agarwood oil from low and high quality, the extraction of chemical compounds using GC-MS and Z-score to identify of the significant compounds as input to the network. The ANN programming algorithm was developed and computed automatically via Matlab software version R2010a. Back-propagation training algorithm and sigmoid transfer function were used to optimize the parameters in the training network. The result obtained showed the capability of ANN in analyzing the agarwood oil quality hence beneficial for the further application...","internal_url":"https://www.academia.edu/82652889/Perbezaan_kualiti_minyak_gaharu_menggunakan_rangkaian_neural_Tiruan","translated_internal_url":"","created_at":"2022-07-05T09:58:09.477-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":44246,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":88288894,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88288894/thumbnails/1.jpg","file_name":"Nor_20Azah.pdf","download_url":"https://www.academia.edu/attachments/88288894/download_file?st=MTczMjcxNjgwNyw4LjIyMi4yMDguMTQ2&st=MTczMjcxNjgwNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Perbezaan_kualiti_minyak_gaharu_mengguna.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88288894/Nor_20Azah-libre.pdf?1657042918=\u0026response-content-disposition=attachment%3B+filename%3DPerbezaan_kualiti_minyak_gaharu_mengguna.pdf\u0026Expires=1732720405\u0026Signature=CxPpA5cgJCft4UGa3xFFPN42~kpjrl9ljlV6SzJhtloiq~EzqbrOlgwSOQL6xyf6Jt3DN-Oc88w-ccKqmPxE28C23Y9hQSwrKcowuvhF~8mi7SiqdOpbOaHZvF0FOcRPQKRCFrKCmGa4FkwjXvaJmDTCcL9dXXyw7obkS8PaG8fIaSnULkwH-8g17sk~-cGau0siTkACLtNiCAKUGNhuslMKt5qeECjl5NtKFlLXJakC9dOEiOABleRCNTLWhSM~C~Zhx0u4flIb9RtGQR6N2cX39-WSJC69RR0y12mDz-vvXBQ2SsdQthA8wqekLQB6AHKGMxdIbknnu~FtOYuNDA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Perbezaan_kualiti_minyak_gaharu_menggunakan_rangkaian_neural_Tiruan","translated_slug":"","page_count":9,"language":"en","content_type":"Work","owner":{"id":44246,"first_name":"Saiful Nizam","middle_initials":null,"last_name":"Tajuddin","page_name":"SaifulNizamTajuddin","domain_name":"ump","created_at":"2009-05-20T16:06:27.322-07:00","display_name":"Saiful Nizam Tajuddin","url":"https://ump.academia.edu/SaifulNizamTajuddin"},"attachments":[{"id":88288894,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88288894/thumbnails/1.jpg","file_name":"Nor_20Azah.pdf","download_url":"https://www.academia.edu/attachments/88288894/download_file?st=MTczMjcxNjgwNyw4LjIyMi4yMDguMTQ2&st=MTczMjcxNjgwNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Perbezaan_kualiti_minyak_gaharu_mengguna.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88288894/Nor_20Azah-libre.pdf?1657042918=\u0026response-content-disposition=attachment%3B+filename%3DPerbezaan_kualiti_minyak_gaharu_mengguna.pdf\u0026Expires=1732720405\u0026Signature=CxPpA5cgJCft4UGa3xFFPN42~kpjrl9ljlV6SzJhtloiq~EzqbrOlgwSOQL6xyf6Jt3DN-Oc88w-ccKqmPxE28C23Y9hQSwrKcowuvhF~8mi7SiqdOpbOaHZvF0FOcRPQKRCFrKCmGa4FkwjXvaJmDTCcL9dXXyw7obkS8PaG8fIaSnULkwH-8g17sk~-cGau0siTkACLtNiCAKUGNhuslMKt5qeECjl5NtKFlLXJakC9dOEiOABleRCNTLWhSM~C~Zhx0u4flIb9RtGQR6N2cX39-WSJC69RR0y12mDz-vvXBQ2SsdQthA8wqekLQB6AHKGMxdIbknnu~FtOYuNDA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":300,"name":"Mathematics","url":"https://www.academia.edu/Documents/in/Mathematics"},{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science"}],"urls":[{"id":21944609,"url":"http://www.ukm.my/mjas/v17_n3/Nor%20Azah.pdf"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="82652879"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/82652879/Agarwood_Essential_Oil_Study_on_Optimum_Parameter_and_Chemical_Compounds_of_Hydrodistillation_Extraction"><img alt="Research paper thumbnail of Agarwood Essential Oil: Study on Optimum Parameter and Chemical Compounds of Hydrodistillation Extraction" class="work-thumbnail" src="https://attachments.academia-assets.com/88288888/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/82652879/Agarwood_Essential_Oil_Study_on_Optimum_Parameter_and_Chemical_Compounds_of_Hydrodistillation_Extraction">Agarwood Essential Oil: Study on Optimum Parameter and Chemical Compounds of Hydrodistillation Extraction</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">A B S T R A C T Agarwood tree is one of source resin production and known as fragrant wood that h...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">A B S T R A C T Agarwood tree is one of source resin production and known as fragrant wood that have a highly valuable product in the global market. However, the process of hydrodistillation efficiency is far from sufficient and affecting to the lower product quality and oil yield. The aims of this research are to identify the effective extraction method conducted by standard hydrodistillation and re-design hydrodistillation. In order to increase the oil production, we optimize the extraction processing parameters tested by various particle sizes (0.5cm, 0.75cm, 1.0cm) and shaking time (1,3, 7 days). The results indicate that the high oil yield obtained by the oil extracted with sample size of 0.5cm (0.44%) and shake for 7 days (0.34%). Agarwood oil extracted using re- design hydrodistillation coupled with stirrer was achieving the maximum oil yield of 0.78% compared to standard hydrodistillation only 0.68%. Analysis of chemical compounds showed that 4-phenyl 2-butanone, α-muurolene...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="96f893775cde2d253aabb2e1c75d0da9" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{&quot;attachment_id&quot;:88288888,&quot;asset_id&quot;:82652879,&quot;asset_type&quot;:&quot;Work&quot;,&quot;button_location&quot;:&quot;profile&quot;}" href="https://www.academia.edu/attachments/88288888/download_file?st=MTczMjcxNjgwNyw4LjIyMi4yMDguMTQ2&st=MTczMjcxNjgwNSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82652879"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82652879"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82652879; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=82652879]").text(description); $(".js-view-count[data-work-id=82652879]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 82652879; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='82652879']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 82652879, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "96f893775cde2d253aabb2e1c75d0da9" } } $('.js-work-strip[data-work-id=82652879]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":82652879,"title":"Agarwood Essential Oil: Study on Optimum Parameter and Chemical Compounds of Hydrodistillation Extraction","translated_title":"","metadata":{"abstract":"A B S T R A C T Agarwood tree is one of source resin production and known as fragrant wood that have a highly valuable product in the global market. However, the process of hydrodistillation efficiency is far from sufficient and affecting to the lower product quality and oil yield. The aims of this research are to identify the effective extraction method conducted by standard hydrodistillation and re-design hydrodistillation. In order to increase the oil production, we optimize the extraction processing parameters tested by various particle sizes (0.5cm, 0.75cm, 1.0cm) and shaking time (1,3, 7 days). The results indicate that the high oil yield obtained by the oil extracted with sample size of 0.5cm (0.44%) and shake for 7 days (0.34%). Agarwood oil extracted using re- design hydrodistillation coupled with stirrer was achieving the maximum oil yield of 0.78% compared to standard hydrodistillation only 0.68%. Analysis of chemical compounds showed that 4-phenyl 2-butanone, α-muurolene...","publication_date":{"day":null,"month":null,"year":2015,"errors":{}}},"translated_abstract":"A B S T R A C T Agarwood tree is one of source resin production and known as fragrant wood that have a highly valuable product in the global market. However, the process of hydrodistillation efficiency is far from sufficient and affecting to the lower product quality and oil yield. The aims of this research are to identify the effective extraction method conducted by standard hydrodistillation and re-design hydrodistillation. In order to increase the oil production, we optimize the extraction processing parameters tested by various particle sizes (0.5cm, 0.75cm, 1.0cm) and shaking time (1,3, 7 days). The results indicate that the high oil yield obtained by the oil extracted with sample size of 0.5cm (0.44%) and shake for 7 days (0.34%). Agarwood oil extracted using re- design hydrodistillation coupled with stirrer was achieving the maximum oil yield of 0.78% compared to standard hydrodistillation only 0.68%. Analysis of chemical compounds showed that 4-phenyl 2-butanone, α-muurolene...","internal_url":"https://www.academia.edu/82652879/Agarwood_Essential_Oil_Study_on_Optimum_Parameter_and_Chemical_Compounds_of_Hydrodistillation_Extraction","translated_internal_url":"","created_at":"2022-07-05T09:58:07.589-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":44246,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":88288888,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88288888/thumbnails/1.jpg","file_name":"1-5.pdf","download_url":"https://www.academia.edu/attachments/88288888/download_file?st=MTczMjcxNjgwNyw4LjIyMi4yMDguMTQ2&st=MTczMjcxNjgwNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Agarwood_Essential_Oil_Study_on_Optimum.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88288888/1-5-libre.pdf?1657042915=\u0026response-content-disposition=attachment%3B+filename%3DAgarwood_Essential_Oil_Study_on_Optimum.pdf\u0026Expires=1732720405\u0026Signature=R7kEI174EWghfbpjLHxPV0kfaXYDmNsJ-EtUVPeZEc8fEvKRF1ArIi7DhvQOCv7c8yGxCC1q2~v~19-Bc4HKM5yqkN~9V8-VQSXzPOtngKJvuvs8Bll3MCWd~4rzeaGrABm2SMEmqXFJYL86WViECirGdE666dgLplJkQbvmMJcNcbH36YjHWQ-J3zKRXJyoHPDWG61qErZVP4dNelQ6~l-j8Oo6Ca9-aEK7ylGT4Rt8qfHBFfN-oNBZN8~1etWjOoBYh~wFNzxfjjRku4asPiJFkIBRC1XRRNXfuJdmm1rEznAUyqEP3ngWo9PORiF8gbSDaaX-qkDOati6fNDKqg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Agarwood_Essential_Oil_Study_on_Optimum_Parameter_and_Chemical_Compounds_of_Hydrodistillation_Extraction","translated_slug":"","page_count":5,"language":"en","content_type":"Work","owner":{"id":44246,"first_name":"Saiful Nizam","middle_initials":null,"last_name":"Tajuddin","page_name":"SaifulNizamTajuddin","domain_name":"ump","created_at":"2009-05-20T16:06:27.322-07:00","display_name":"Saiful Nizam Tajuddin","url":"https://ump.academia.edu/SaifulNizamTajuddin"},"attachments":[{"id":88288888,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88288888/thumbnails/1.jpg","file_name":"1-5.pdf","download_url":"https://www.academia.edu/attachments/88288888/download_file?st=MTczMjcxNjgwNyw4LjIyMi4yMDguMTQ2&st=MTczMjcxNjgwNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Agarwood_Essential_Oil_Study_on_Optimum.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88288888/1-5-libre.pdf?1657042915=\u0026response-content-disposition=attachment%3B+filename%3DAgarwood_Essential_Oil_Study_on_Optimum.pdf\u0026Expires=1732720405\u0026Signature=R7kEI174EWghfbpjLHxPV0kfaXYDmNsJ-EtUVPeZEc8fEvKRF1ArIi7DhvQOCv7c8yGxCC1q2~v~19-Bc4HKM5yqkN~9V8-VQSXzPOtngKJvuvs8Bll3MCWd~4rzeaGrABm2SMEmqXFJYL86WViECirGdE666dgLplJkQbvmMJcNcbH36YjHWQ-J3zKRXJyoHPDWG61qErZVP4dNelQ6~l-j8Oo6Ca9-aEK7ylGT4Rt8qfHBFfN-oNBZN8~1etWjOoBYh~wFNzxfjjRku4asPiJFkIBRC1XRRNXfuJdmm1rEznAUyqEP3ngWo9PORiF8gbSDaaX-qkDOati6fNDKqg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":88288887,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88288887/thumbnails/1.jpg","file_name":"1-5.pdf","download_url":"https://www.academia.edu/attachments/88288887/download_file","bulk_download_file_name":"Agarwood_Essential_Oil_Study_on_Optimum.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88288887/1-5-libre.pdf?1657042917=\u0026response-content-disposition=attachment%3B+filename%3DAgarwood_Essential_Oil_Study_on_Optimum.pdf\u0026Expires=1732720405\u0026Signature=FbDOBLt9yfA8FyRL7CGWLaNB4iSFiKKwGde~14MOANj~KWAJMT3QqxzlmvEvWjmZvbonDGMiu-3~7CHPkMPj3Wb86jd-D2Lv3fzkwntoQtrmrvDkFSl4ANbZCh7zm4pFOasXsXBNt~9dmgk5D1OqYKsSsnFlos9TH5AYO-53cCjRWhfUuaEnAnTKwvwPWxU47ao6vIHnqY6Qi9WkEyGKNE3xqg6rbXkOtYRXnmoKEeG2GEpJWXJihv93t9hBy38Wq4xrWUWbuSQeuAFhkvWVT2JQC4UhnzVfbcObumxFwKbK0GhCJNJUlKJwjvTW7huoH6sC6s9Bv95IUXAUfkUCLA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":300,"name":"Mathematics","url":"https://www.academia.edu/Documents/in/Mathematics"},{"id":523,"name":"Chemistry","url":"https://www.academia.edu/Documents/in/Chemistry"},{"id":48465,"name":"Essential Oil","url":"https://www.academia.edu/Documents/in/Essential_Oil"},{"id":883068,"name":"Agarwood","url":"https://www.academia.edu/Documents/in/Agarwood"}],"urls":[{"id":21944605,"url":"http://www.aensiweb.com/old/jasa/rjfh/2015/Special1%202015/1-5.pdf"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="82652875"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/82652875/Analysis_of_GC_FID_and_GC_MS_Microwave_Assisted_Hydrodistillation_Extraction_MAHD_of_Agarwood_Chips"><img alt="Research paper thumbnail of Analysis of GC-FID and GC-MS Microwave-Assisted Hydrodistillation Extraction (MAHD) of Agarwood Chips" class="work-thumbnail" src="https://attachments.academia-assets.com/88289223/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/82652875/Analysis_of_GC_FID_and_GC_MS_Microwave_Assisted_Hydrodistillation_Extraction_MAHD_of_Agarwood_Chips">Analysis of GC-FID and GC-MS Microwave-Assisted Hydrodistillation Extraction (MAHD) of Agarwood Chips</a></div><div class="wp-workCard_item"><span>The International Journal of Integrated Engineering</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This paper presents an analysis of Gas Chromatography – Flame Ionization Detector (GC-FID) and Ga...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This paper presents an analysis of Gas Chromatography – Flame Ionization Detector (GC-FID) and Gas Chromatography – Mass Spectrometry (GC-MS) microwave-assisted hydrodistillation extraction (MAHD) of agarwood chips. The work involves of agarwood chips sample preparation starting from drying to soaking process, extraction method using MAHD and compound analysis using GC-FID and GC-MS for compounds identification. During the extraction time, four hours were varied; 2-hours, 3-hours, 4-hours The result showed that the agarwood chips in this study, extracted by MAHD are made up of three major groups; oxygenated sesquiterpenes, monoterpene hydrocarbons, and sesquiterpene hydrocarbons. Not limited to that, the study also adds to the understanding of the variation of the chemical compounds in agarwood especially those contributed to the fragrance of its oil as well as together with different hours of extraction time where n-hexadecanoic acid appeared as the compound to have the high peak o...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="3e7464b9e58cb304adc9969727cbc9ce" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{&quot;attachment_id&quot;:88289223,&quot;asset_id&quot;:82652875,&quot;asset_type&quot;:&quot;Work&quot;,&quot;button_location&quot;:&quot;profile&quot;}" href="https://www.academia.edu/attachments/88289223/download_file?st=MTczMjcxNjgwNyw4LjIyMi4yMDguMTQ2&st=MTczMjcxNjgwNSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82652875"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82652875"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82652875; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=82652875]").text(description); $(".js-view-count[data-work-id=82652875]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 82652875; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='82652875']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 82652875, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "3e7464b9e58cb304adc9969727cbc9ce" } } $('.js-work-strip[data-work-id=82652875]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":82652875,"title":"Analysis of GC-FID and GC-MS Microwave-Assisted Hydrodistillation Extraction (MAHD) of Agarwood Chips","translated_title":"","metadata":{"abstract":"This paper presents an analysis of Gas Chromatography – Flame Ionization Detector (GC-FID) and Gas Chromatography – Mass Spectrometry (GC-MS) microwave-assisted hydrodistillation extraction (MAHD) of agarwood chips. The work involves of agarwood chips sample preparation starting from drying to soaking process, extraction method using MAHD and compound analysis using GC-FID and GC-MS for compounds identification. During the extraction time, four hours were varied; 2-hours, 3-hours, 4-hours The result showed that the agarwood chips in this study, extracted by MAHD are made up of three major groups; oxygenated sesquiterpenes, monoterpene hydrocarbons, and sesquiterpene hydrocarbons. Not limited to that, the study also adds to the understanding of the variation of the chemical compounds in agarwood especially those contributed to the fragrance of its oil as well as together with different hours of extraction time where n-hexadecanoic acid appeared as the compound to have the high peak o...","publisher":"Penerbit UTHM","publication_date":{"day":null,"month":null,"year":2021,"errors":{}},"publication_name":"The International Journal of Integrated Engineering"},"translated_abstract":"This paper presents an analysis of Gas Chromatography – Flame Ionization Detector (GC-FID) and Gas Chromatography – Mass Spectrometry (GC-MS) microwave-assisted hydrodistillation extraction (MAHD) of agarwood chips. The work involves of agarwood chips sample preparation starting from drying to soaking process, extraction method using MAHD and compound analysis using GC-FID and GC-MS for compounds identification. During the extraction time, four hours were varied; 2-hours, 3-hours, 4-hours The result showed that the agarwood chips in this study, extracted by MAHD are made up of three major groups; oxygenated sesquiterpenes, monoterpene hydrocarbons, and sesquiterpene hydrocarbons. Not limited to that, the study also adds to the understanding of the variation of the chemical compounds in agarwood especially those contributed to the fragrance of its oil as well as together with different hours of extraction time where n-hexadecanoic acid appeared as the compound to have the high peak o...","internal_url":"https://www.academia.edu/82652875/Analysis_of_GC_FID_and_GC_MS_Microwave_Assisted_Hydrodistillation_Extraction_MAHD_of_Agarwood_Chips","translated_internal_url":"","created_at":"2022-07-05T09:58:06.209-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":44246,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":88289223,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88289223/thumbnails/1.jpg","file_name":"480425045.pdf","download_url":"https://www.academia.edu/attachments/88289223/download_file?st=MTczMjcxNjgwNyw4LjIyMi4yMDguMTQ2&st=MTczMjcxNjgwNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Analysis_of_GC_FID_and_GC_MS_Microwave_A.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88289223/480425045-libre.pdf?1657042885=\u0026response-content-disposition=attachment%3B+filename%3DAnalysis_of_GC_FID_and_GC_MS_Microwave_A.pdf\u0026Expires=1732720405\u0026Signature=dBIlrsM8F8WSatLiFx2JdU6JUd8b6qgPRwr54ITYaJe7a5T2~989UVkdZSIYA-yp2JWAtCTde-BJGoVOi~VzWRDdraTst8xZ9kYWX79RUzX6v-eGn6RJg7R8FyBFrGXYx7qDJ6xqKMvobtuavmj15gU6JHfKEyM0p2uBcoxolXmEz~b7Woxf2mzIweUd8TOrshsLeQdjgNvqUZl9Jn0wzcvXIMKcgbqPh0JqM0Z3oGbEKbeRT5R6VBZL0khxyiKd70enHRQKdmvwfxNM7HjQJgxeMRcRg~hrVbKbw3ERCubz71JP1gJ65Ze2UnqOGZ9qu3h8ehwQuluqfZ50n7VpuA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Analysis_of_GC_FID_and_GC_MS_Microwave_Assisted_Hydrodistillation_Extraction_MAHD_of_Agarwood_Chips","translated_slug":"","page_count":10,"language":"en","content_type":"Work","owner":{"id":44246,"first_name":"Saiful Nizam","middle_initials":null,"last_name":"Tajuddin","page_name":"SaifulNizamTajuddin","domain_name":"ump","created_at":"2009-05-20T16:06:27.322-07:00","display_name":"Saiful Nizam Tajuddin","url":"https://ump.academia.edu/SaifulNizamTajuddin"},"attachments":[{"id":88289223,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88289223/thumbnails/1.jpg","file_name":"480425045.pdf","download_url":"https://www.academia.edu/attachments/88289223/download_file?st=MTczMjcxNjgwNyw4LjIyMi4yMDguMTQ2&st=MTczMjcxNjgwNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Analysis_of_GC_FID_and_GC_MS_Microwave_A.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88289223/480425045-libre.pdf?1657042885=\u0026response-content-disposition=attachment%3B+filename%3DAnalysis_of_GC_FID_and_GC_MS_Microwave_A.pdf\u0026Expires=1732720405\u0026Signature=dBIlrsM8F8WSatLiFx2JdU6JUd8b6qgPRwr54ITYaJe7a5T2~989UVkdZSIYA-yp2JWAtCTde-BJGoVOi~VzWRDdraTst8xZ9kYWX79RUzX6v-eGn6RJg7R8FyBFrGXYx7qDJ6xqKMvobtuavmj15gU6JHfKEyM0p2uBcoxolXmEz~b7Woxf2mzIweUd8TOrshsLeQdjgNvqUZl9Jn0wzcvXIMKcgbqPh0JqM0Z3oGbEKbeRT5R6VBZL0khxyiKd70enHRQKdmvwfxNM7HjQJgxeMRcRg~hrVbKbw3ERCubz71JP1gJ65Ze2UnqOGZ9qu3h8ehwQuluqfZ50n7VpuA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":4656,"name":"Chromatography","url":"https://www.academia.edu/Documents/in/Chromatography"},{"id":67648,"name":"GC-MS","url":"https://www.academia.edu/Documents/in/GC-MS"},{"id":529560,"name":"Gas Chromatography/mass Spectrometry","url":"https://www.academia.edu/Documents/in/Gas_Chromatography_mass_Spectrometry"},{"id":883068,"name":"Agarwood","url":"https://www.academia.edu/Documents/in/Agarwood"},{"id":2424913,"name":"Integrated Engineering","url":"https://www.academia.edu/Documents/in/Integrated_Engineering"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="82652869"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/82652869/Statistical_analysis_of_agarwood_oil_compounds_in_discriminating_the_quality_of_agarwood_oil"><img alt="Research paper thumbnail of Statistical analysis of agarwood oil compounds in discriminating the quality of agarwood oil" class="work-thumbnail" src="https://attachments.academia-assets.com/88289220/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/82652869/Statistical_analysis_of_agarwood_oil_compounds_in_discriminating_the_quality_of_agarwood_oil">Statistical analysis of agarwood oil compounds in discriminating the quality of agarwood oil</a></div><div class="wp-workCard_item"><span>Journal of Fundamental and Applied Sciences</span><span>, 2018</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="4a3ed606da4c4a03502c1dc50e020f38" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{&quot;attachment_id&quot;:88289220,&quot;asset_id&quot;:82652869,&quot;asset_type&quot;:&quot;Work&quot;,&quot;button_location&quot;:&quot;profile&quot;}" href="https://www.academia.edu/attachments/88289220/download_file?st=MTczMjcxNjgwNyw4LjIyMi4yMDguMTQ2&st=MTczMjcxNjgwNSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82652869"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82652869"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82652869; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=82652869]").text(description); $(".js-view-count[data-work-id=82652869]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 82652869; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='82652869']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 82652869, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "4a3ed606da4c4a03502c1dc50e020f38" } } $('.js-work-strip[data-work-id=82652869]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":82652869,"title":"Statistical analysis of agarwood oil compounds in discriminating the quality of agarwood oil","translated_title":"","metadata":{"publisher":"African Journals Online (AJOL)","publication_date":{"day":null,"month":null,"year":2018,"errors":{}},"publication_name":"Journal of Fundamental and Applied Sciences"},"translated_abstract":null,"internal_url":"https://www.academia.edu/82652869/Statistical_analysis_of_agarwood_oil_compounds_in_discriminating_the_quality_of_agarwood_oil","translated_internal_url":"","created_at":"2022-07-05T09:58:04.855-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":44246,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":88289220,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88289220/thumbnails/1.jpg","file_name":"154668.pdf","download_url":"https://www.academia.edu/attachments/88289220/download_file?st=MTczMjcxNjgwNyw4LjIyMi4yMDguMTQ2&st=MTczMjcxNjgwNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Statistical_analysis_of_agarwood_oil_com.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88289220/154668-libre.pdf?1657042893=\u0026response-content-disposition=attachment%3B+filename%3DStatistical_analysis_of_agarwood_oil_com.pdf\u0026Expires=1732720405\u0026Signature=Cdx015~IlohZnR3R3TCQBK7YxWWCo7O1VqQfBaRNPb9aa-gEcolG~DXnN2H7XBsmlo8Tl1zc-eIapPFp74xOL8-l4vELNytg6DHQBO87EPRY-sg8aMZ4WBv~KlGHoX~M-dXVg05ORhbUU-CWOw2uep4oLTiCxrpgHWwj9bERg6mRtb~2QcMbEdOnscQKzxPS9U3X~yRHbkp-Y17osjq7pa90MTaZn3tiuBMcVosqkCQ5OvGGQe5VJ73m8cFoUKJYe5oYgO9GgATXRVG7LzoKSyHaMY3HmahIn6Hw0a~6Sh4aP2i-CjBwEKC1pXFqCj-XuN2-E4Evse4gf-rl-GJZXA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Statistical_analysis_of_agarwood_oil_compounds_in_discriminating_the_quality_of_agarwood_oil","translated_slug":"","page_count":17,"language":"en","content_type":"Work","owner":{"id":44246,"first_name":"Saiful Nizam","middle_initials":null,"last_name":"Tajuddin","page_name":"SaifulNizamTajuddin","domain_name":"ump","created_at":"2009-05-20T16:06:27.322-07:00","display_name":"Saiful Nizam Tajuddin","url":"https://ump.academia.edu/SaifulNizamTajuddin"},"attachments":[{"id":88289220,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88289220/thumbnails/1.jpg","file_name":"154668.pdf","download_url":"https://www.academia.edu/attachments/88289220/download_file?st=MTczMjcxNjgwNyw4LjIyMi4yMDguMTQ2&st=MTczMjcxNjgwNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Statistical_analysis_of_agarwood_oil_com.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88289220/154668-libre.pdf?1657042893=\u0026response-content-disposition=attachment%3B+filename%3DStatistical_analysis_of_agarwood_oil_com.pdf\u0026Expires=1732720405\u0026Signature=Cdx015~IlohZnR3R3TCQBK7YxWWCo7O1VqQfBaRNPb9aa-gEcolG~DXnN2H7XBsmlo8Tl1zc-eIapPFp74xOL8-l4vELNytg6DHQBO87EPRY-sg8aMZ4WBv~KlGHoX~M-dXVg05ORhbUU-CWOw2uep4oLTiCxrpgHWwj9bERg6mRtb~2QcMbEdOnscQKzxPS9U3X~yRHbkp-Y17osjq7pa90MTaZn3tiuBMcVosqkCQ5OvGGQe5VJ73m8cFoUKJYe5oYgO9GgATXRVG7LzoKSyHaMY3HmahIn6Hw0a~6Sh4aP2i-CjBwEKC1pXFqCj-XuN2-E4Evse4gf-rl-GJZXA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":48,"name":"Engineering","url":"https://www.academia.edu/Documents/in/Engineering"},{"id":883068,"name":"Agarwood","url":"https://www.academia.edu/Documents/in/Agarwood"},{"id":1223881,"name":"Boxplot","url":"https://www.academia.edu/Documents/in/Boxplot"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="82652859"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/82652859/Quadratic_tuned_kernel_parameter_in_Non_linear_support_vector_machine_SVM_for_agarwood_oil_compounds_quality_classification"><img alt="Research paper thumbnail of Quadratic tuned kernel parameter in Non-linear support vector machine (SVM) for agarwood oil compounds quality classification" class="work-thumbnail" src="https://attachments.academia-assets.com/88288873/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/82652859/Quadratic_tuned_kernel_parameter_in_Non_linear_support_vector_machine_SVM_for_agarwood_oil_compounds_quality_classification">Quadratic tuned kernel parameter in Non-linear support vector machine (SVM) for agarwood oil compounds quality classification</a></div><div class="wp-workCard_item"><span>Indonesian Journal of Electrical Engineering and Computer Science</span><span>, 2020</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This paper presents the analysis of agarwood oil compounds quality classification by tuning quadr...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This paper presents the analysis of agarwood oil compounds quality classification by tuning quadratic kernel parameter in Support Vector Machine (SVM). The experimental work involved of agarwood oil samples from low and high qualities. The input is abundances (%) of the agarwood oil compounds and the output is the quality of the oil either high or low. The input and output data were processed by following tasks; i) data processing which covers normalization, randomization and data splitting into two parts in which training and testing database (ratio of 80%:20%), and ii) data analysis which covers SVM development by tuning quadratic kernel parameter. The training dataset was used to be train the SVM model and the testing dataset was used to test the developed SVM model. All the analytical works are performed via MATLAB software version R2013a. The result showed that, quadratic tuned kernel parameter in SVM model was successful since it passed all the performance criteria’s in which ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="432db0d8b6a09c0a25f49dec89c35526" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{&quot;attachment_id&quot;:88288873,&quot;asset_id&quot;:82652859,&quot;asset_type&quot;:&quot;Work&quot;,&quot;button_location&quot;:&quot;profile&quot;}" href="https://www.academia.edu/attachments/88288873/download_file?st=MTczMjcxNjgwNyw4LjIyMi4yMDguMTQ2&st=MTczMjcxNjgwNiw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82652859"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82652859"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82652859; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=82652859]").text(description); $(".js-view-count[data-work-id=82652859]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 82652859; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='82652859']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 82652859, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "432db0d8b6a09c0a25f49dec89c35526" } } $('.js-work-strip[data-work-id=82652859]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":82652859,"title":"Quadratic tuned kernel parameter in Non-linear support vector machine (SVM) for agarwood oil compounds quality classification","translated_title":"","metadata":{"abstract":"This paper presents the analysis of agarwood oil compounds quality classification by tuning quadratic kernel parameter in Support Vector Machine (SVM). The experimental work involved of agarwood oil samples from low and high qualities. The input is abundances (%) of the agarwood oil compounds and the output is the quality of the oil either high or low. The input and output data were processed by following tasks; i) data processing which covers normalization, randomization and data splitting into two parts in which training and testing database (ratio of 80%:20%), and ii) data analysis which covers SVM development by tuning quadratic kernel parameter. The training dataset was used to be train the SVM model and the testing dataset was used to test the developed SVM model. All the analytical works are performed via MATLAB software version R2013a. The result showed that, quadratic tuned kernel parameter in SVM model was successful since it passed all the performance criteria’s in which ...","publisher":"Institute of Advanced Engineering and Science","publication_date":{"day":null,"month":null,"year":2020,"errors":{}},"publication_name":"Indonesian Journal of Electrical Engineering and Computer Science"},"translated_abstract":"This paper presents the analysis of agarwood oil compounds quality classification by tuning quadratic kernel parameter in Support Vector Machine (SVM). The experimental work involved of agarwood oil samples from low and high qualities. The input is abundances (%) of the agarwood oil compounds and the output is the quality of the oil either high or low. The input and output data were processed by following tasks; i) data processing which covers normalization, randomization and data splitting into two parts in which training and testing database (ratio of 80%:20%), and ii) data analysis which covers SVM development by tuning quadratic kernel parameter. The training dataset was used to be train the SVM model and the testing dataset was used to test the developed SVM model. All the analytical works are performed via MATLAB software version R2013a. The result showed that, quadratic tuned kernel parameter in SVM model was successful since it passed all the performance criteria’s in which ...","internal_url":"https://www.academia.edu/82652859/Quadratic_tuned_kernel_parameter_in_Non_linear_support_vector_machine_SVM_for_agarwood_oil_compounds_quality_classification","translated_internal_url":"","created_at":"2022-07-05T09:58:02.808-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":44246,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":88288873,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88288873/thumbnails/1.jpg","file_name":"13519.pdf","download_url":"https://www.academia.edu/attachments/88288873/download_file?st=MTczMjcxNjgwNyw4LjIyMi4yMDguMTQ2&st=MTczMjcxNjgwNiw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Quadratic_tuned_kernel_parameter_in_Non.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88288873/13519-libre.pdf?1657042922=\u0026response-content-disposition=attachment%3B+filename%3DQuadratic_tuned_kernel_parameter_in_Non.pdf\u0026Expires=1732720406\u0026Signature=QQRYETt-WS72vEPDVCKUJybKjrCOBJLcRlD1hWQlOfED3kwNB68m9s8zmBNG6FlgmlKTX2wCsShWyiLs9ADmbg94Zm90~~vd-h1AlLKvHe~adUjilJSJClsRHUghaUbmqVbRhMRP5wPp8UZevYU73dKBNaN1X-jFJLVBEF63eBdjAyYUyzmC9KB-0IqgM8LSEimRn~GS~7gCljSfQFZQ7xTiEd8a13RppixIcMbCTwBoNQeQCMr1fm5y5gGaUY7wtcwI5XRZBtVLouYZtxxBfC47sLA5~LxI99XLzisHtTHYd0ubi6oTw~j6EmBmsazNaC5G5sC9CNrCPnmO3XT1qA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Quadratic_tuned_kernel_parameter_in_Non_linear_support_vector_machine_SVM_for_agarwood_oil_compounds_quality_classification","translated_slug":"","page_count":6,"language":"en","content_type":"Work","owner":{"id":44246,"first_name":"Saiful Nizam","middle_initials":null,"last_name":"Tajuddin","page_name":"SaifulNizamTajuddin","domain_name":"ump","created_at":"2009-05-20T16:06:27.322-07:00","display_name":"Saiful Nizam Tajuddin","url":"https://ump.academia.edu/SaifulNizamTajuddin"},"attachments":[{"id":88288873,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88288873/thumbnails/1.jpg","file_name":"13519.pdf","download_url":"https://www.academia.edu/attachments/88288873/download_file?st=MTczMjcxNjgwNyw4LjIyMi4yMDguMTQ2&st=MTczMjcxNjgwNiw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Quadratic_tuned_kernel_parameter_in_Non.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88288873/13519-libre.pdf?1657042922=\u0026response-content-disposition=attachment%3B+filename%3DQuadratic_tuned_kernel_parameter_in_Non.pdf\u0026Expires=1732720406\u0026Signature=QQRYETt-WS72vEPDVCKUJybKjrCOBJLcRlD1hWQlOfED3kwNB68m9s8zmBNG6FlgmlKTX2wCsShWyiLs9ADmbg94Zm90~~vd-h1AlLKvHe~adUjilJSJClsRHUghaUbmqVbRhMRP5wPp8UZevYU73dKBNaN1X-jFJLVBEF63eBdjAyYUyzmC9KB-0IqgM8LSEimRn~GS~7gCljSfQFZQ7xTiEd8a13RppixIcMbCTwBoNQeQCMr1fm5y5gGaUY7wtcwI5XRZBtVLouYZtxxBfC47sLA5~LxI99XLzisHtTHYd0ubi6oTw~j6EmBmsazNaC5G5sC9CNrCPnmO3XT1qA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":300,"name":"Mathematics","url":"https://www.academia.edu/Documents/in/Mathematics"},{"id":465,"name":"Artificial Intelligence","url":"https://www.academia.edu/Documents/in/Artificial_Intelligence"},{"id":191289,"name":"Support vector machine","url":"https://www.academia.edu/Documents/in/Support_vector_machine"}],"urls":[{"id":21944599,"url":"http://ijeecs.iaescore.com/index.php/IJEECS/article/viewFile/20929/13519"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="82652851"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/82652851/Production_of_Agarwood_Essential_Oil_Study_on_Effectiveness_Pre_Treatment_Technique_of_Hydrodistillation_Extraction"><img alt="Research paper thumbnail of Production of Agarwood Essential Oil: Study on Effectiveness Pre-Treatment Technique of Hydrodistillation Extraction" class="work-thumbnail" src="https://attachments.academia-assets.com/88288865/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/82652851/Production_of_Agarwood_Essential_Oil_Study_on_Effectiveness_Pre_Treatment_Technique_of_Hydrodistillation_Extraction">Production of Agarwood Essential Oil: Study on Effectiveness Pre-Treatment Technique of Hydrodistillation Extraction</a></div><div class="wp-workCard_item"><span>Borneo Journal of Resource Science and Technology</span><span>, 1970</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">There are many uses of agarwood trees in a number of countries around the world. However, lack in...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">There are many uses of agarwood trees in a number of countries around the world. However, lack in extractionprocess efficiency was affected to the lower product quality and oil yield. Therefore, this research was aimed toinvestigate the effect of pre-treatment techniques of soaking with water and soaking with three fungi onagarwood oil yield. The oils produced were compared with industrial samples. Analysis of chemical compoundsis done by using Gas Chromatography-Flame Ionization Detector (GC-FID) and Gas Chromatography-MassSpectrometry (GC-MS). As a result, the sample treated with fungi Phanerochaete chrysosporium achieved thehighest average oil yields of 0.58% with content of 80.13% of total chemical compounds compared to sampletreated with water only consist of 0.27% oil yield and 72.58% of total chemical compounds was detected. Thesample soak with fungi is more advantageous than soak with water in terms of oil productivity, energy savingand efficiency process. The main component...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="b09343151944522e92fb39068d847fc1" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{&quot;attachment_id&quot;:88288865,&quot;asset_id&quot;:82652851,&quot;asset_type&quot;:&quot;Work&quot;,&quot;button_location&quot;:&quot;profile&quot;}" href="https://www.academia.edu/attachments/88288865/download_file?st=MTczMjcxNjgwNyw4LjIyMi4yMDguMTQ2&st=MTczMjcxNjgwNiw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82652851"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82652851"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82652851; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=82652851]").text(description); $(".js-view-count[data-work-id=82652851]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 82652851; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='82652851']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 82652851, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "b09343151944522e92fb39068d847fc1" } } $('.js-work-strip[data-work-id=82652851]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":82652851,"title":"Production of Agarwood Essential Oil: Study on Effectiveness Pre-Treatment Technique of Hydrodistillation Extraction","translated_title":"","metadata":{"abstract":"There are many uses of agarwood trees in a number of countries around the world. However, lack in extractionprocess efficiency was affected to the lower product quality and oil yield. Therefore, this research was aimed toinvestigate the effect of pre-treatment techniques of soaking with water and soaking with three fungi onagarwood oil yield. The oils produced were compared with industrial samples. Analysis of chemical compoundsis done by using Gas Chromatography-Flame Ionization Detector (GC-FID) and Gas Chromatography-MassSpectrometry (GC-MS). As a result, the sample treated with fungi Phanerochaete chrysosporium achieved thehighest average oil yields of 0.58% with content of 80.13% of total chemical compounds compared to sampletreated with water only consist of 0.27% oil yield and 72.58% of total chemical compounds was detected. Thesample soak with fungi is more advantageous than soak with water in terms of oil productivity, energy savingand efficiency process. The main component...","publisher":"UNIMAS Publisher","publication_date":{"day":null,"month":null,"year":1970,"errors":{}},"publication_name":"Borneo Journal of Resource Science and Technology"},"translated_abstract":"There are many uses of agarwood trees in a number of countries around the world. However, lack in extractionprocess efficiency was affected to the lower product quality and oil yield. Therefore, this research was aimed toinvestigate the effect of pre-treatment techniques of soaking with water and soaking with three fungi onagarwood oil yield. The oils produced were compared with industrial samples. Analysis of chemical compoundsis done by using Gas Chromatography-Flame Ionization Detector (GC-FID) and Gas Chromatography-MassSpectrometry (GC-MS). As a result, the sample treated with fungi Phanerochaete chrysosporium achieved thehighest average oil yields of 0.58% with content of 80.13% of total chemical compounds compared to sampletreated with water only consist of 0.27% oil yield and 72.58% of total chemical compounds was detected. Thesample soak with fungi is more advantageous than soak with water in terms of oil productivity, energy savingand efficiency process. The main component...","internal_url":"https://www.academia.edu/82652851/Production_of_Agarwood_Essential_Oil_Study_on_Effectiveness_Pre_Treatment_Technique_of_Hydrodistillation_Extraction","translated_internal_url":"","created_at":"2022-07-05T09:58:00.217-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":44246,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":88288865,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88288865/thumbnails/1.jpg","file_name":"190.pdf","download_url":"https://www.academia.edu/attachments/88288865/download_file?st=MTczMjcxNjgwNyw4LjIyMi4yMDguMTQ2&st=MTczMjcxNjgwNiw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Production_of_Agarwood_Essential_Oil_Stu.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88288865/190-libre.pdf?1657042920=\u0026response-content-disposition=attachment%3B+filename%3DProduction_of_Agarwood_Essential_Oil_Stu.pdf\u0026Expires=1732720406\u0026Signature=XxBUNdLRK1LYsMoGhtGspPrVh0VgtLaCyx2-Sm92V4KY4-Vmp8-XC0z3oHhhVWY-fEOcLK-fXc~aFV0vBVVElsfAu4UeQ051Eb6UAxWmiw2pbYscuNNkRCk8ny8jzi-mgO9xcNnwHDnTBhGIC53ENLX369SivxM8uccqjiupmrhwMVpov6WM-bzzzRu2IWT52D0-XXCgU-l4m8k6vdgFg9Q0yyNZl~iaxrQIr2K1hpMcBG8BTdWbyv0EUf-g2AJvda1hvp41ugRMiOOjohfFUJXa3~dMrvAb65eBMruITGaBL5y85pxvsC5Nr-NAILBwOE8x-KmZaFtEhoni5HLeiQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Production_of_Agarwood_Essential_Oil_Study_on_Effectiveness_Pre_Treatment_Technique_of_Hydrodistillation_Extraction","translated_slug":"","page_count":8,"language":"en","content_type":"Work","owner":{"id":44246,"first_name":"Saiful Nizam","middle_initials":null,"last_name":"Tajuddin","page_name":"SaifulNizamTajuddin","domain_name":"ump","created_at":"2009-05-20T16:06:27.322-07:00","display_name":"Saiful Nizam Tajuddin","url":"https://ump.academia.edu/SaifulNizamTajuddin"},"attachments":[{"id":88288865,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88288865/thumbnails/1.jpg","file_name":"190.pdf","download_url":"https://www.academia.edu/attachments/88288865/download_file?st=MTczMjcxNjgwNyw4LjIyMi4yMDguMTQ2&st=MTczMjcxNjgwNiw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Production_of_Agarwood_Essential_Oil_Stu.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88288865/190-libre.pdf?1657042920=\u0026response-content-disposition=attachment%3B+filename%3DProduction_of_Agarwood_Essential_Oil_Stu.pdf\u0026Expires=1732720406\u0026Signature=XxBUNdLRK1LYsMoGhtGspPrVh0VgtLaCyx2-Sm92V4KY4-Vmp8-XC0z3oHhhVWY-fEOcLK-fXc~aFV0vBVVElsfAu4UeQ051Eb6UAxWmiw2pbYscuNNkRCk8ny8jzi-mgO9xcNnwHDnTBhGIC53ENLX369SivxM8uccqjiupmrhwMVpov6WM-bzzzRu2IWT52D0-XXCgU-l4m8k6vdgFg9Q0yyNZl~iaxrQIr2K1hpMcBG8BTdWbyv0EUf-g2AJvda1hvp41ugRMiOOjohfFUJXa3~dMrvAb65eBMruITGaBL5y85pxvsC5Nr-NAILBwOE8x-KmZaFtEhoni5HLeiQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":88288866,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88288866/thumbnails/1.jpg","file_name":"190.pdf","download_url":"https://www.academia.edu/attachments/88288866/download_file","bulk_download_file_name":"Production_of_Agarwood_Essential_Oil_Stu.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88288866/190-libre.pdf?1657042930=\u0026response-content-disposition=attachment%3B+filename%3DProduction_of_Agarwood_Essential_Oil_Stu.pdf\u0026Expires=1732720406\u0026Signature=a1BVWGVXHiNKgYLhgp2F55RU-2Yvew2xnOlyIAm-x3wdq~WnXBuM2zK~nK0HZntgXyYVDibE4vxje0cvDrXY41fpm3EaQ1zMVOfaZdhkh5k3W-KiGQOjA7AXbd5YS-5HmWKHsiizDa96U39YMCD277rhIzpRg7d4NGgwjF9IMTFGPEF22Xcm~Y2t460OSYiasOziPYj~UBHCv-SVseV0LNTf4m8-jI1XOVaPQQyHGv9iGgX15cuqf68hp8zBJvflXjTg9Q07rRSWmwUo2GPCuK5v5c6yBrC5lBtTOK3lrmsd2h2N2zp8fJ1c1vR-jj6m21ttqZF075rNybUs7pocAQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":523,"name":"Chemistry","url":"https://www.academia.edu/Documents/in/Chemistry"},{"id":48465,"name":"Essential Oil","url":"https://www.academia.edu/Documents/in/Essential_Oil"},{"id":883068,"name":"Agarwood","url":"https://www.academia.edu/Documents/in/Agarwood"}],"urls":[{"id":21944596,"url":"http://publisher.unimas.my/ojs/index.php/BJRST/article/download/223/190"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="82652838"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/82652838/The_in_vivo_anti_tumor_effect_of_curcumin_derivative_2E_6E_2_6_bis_4_hydroxy_3_methoxybenzylidene_cyclohexanone_BHMC_on_4T1_breast_cancer_cells"><img alt="Research paper thumbnail of The in vivo anti-tumor effect of curcumin derivative (2E,6E)-2,6-bis(4-hydroxy-3-methoxybenzylidene)cyclohexanone (BHMC) on 4T1 breast cancer cells" class="work-thumbnail" src="https://attachments.academia-assets.com/88288861/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/82652838/The_in_vivo_anti_tumor_effect_of_curcumin_derivative_2E_6E_2_6_bis_4_hydroxy_3_methoxybenzylidene_cyclohexanone_BHMC_on_4T1_breast_cancer_cells">The in vivo anti-tumor effect of curcumin derivative (2E,6E)-2,6-bis(4-hydroxy-3-methoxybenzylidene)cyclohexanone (BHMC) on 4T1 breast cancer cells</a></div><div class="wp-workCard_item"><span>RSC Adv.</span><span>, 2017</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">BHMC possessed in vitro and in vivo antitumor effect on 4T1 triple negative breast cancer cells.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="14f66170bb6e2eed9147a4c359484a8f" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{&quot;attachment_id&quot;:88288861,&quot;asset_id&quot;:82652838,&quot;asset_type&quot;:&quot;Work&quot;,&quot;button_location&quot;:&quot;profile&quot;}" href="https://www.academia.edu/attachments/88288861/download_file?st=MTczMjcxNjgwNyw4LjIyMi4yMDguMTQ2&st=MTczMjcxNjgwNiw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82652838"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82652838"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82652838; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=82652838]").text(description); $(".js-view-count[data-work-id=82652838]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 82652838; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='82652838']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 82652838, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "14f66170bb6e2eed9147a4c359484a8f" } } $('.js-work-strip[data-work-id=82652838]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":82652838,"title":"The in vivo anti-tumor effect of curcumin derivative (2E,6E)-2,6-bis(4-hydroxy-3-methoxybenzylidene)cyclohexanone (BHMC) on 4T1 breast cancer cells","translated_title":"","metadata":{"abstract":"BHMC possessed in vitro and in vivo antitumor effect on 4T1 triple negative breast cancer cells.","publisher":"Royal Society of Chemistry (RSC)","publication_date":{"day":null,"month":null,"year":2017,"errors":{}},"publication_name":"RSC Adv."},"translated_abstract":"BHMC possessed in vitro and in vivo antitumor effect on 4T1 triple negative breast cancer cells.","internal_url":"https://www.academia.edu/82652838/The_in_vivo_anti_tumor_effect_of_curcumin_derivative_2E_6E_2_6_bis_4_hydroxy_3_methoxybenzylidene_cyclohexanone_BHMC_on_4T1_breast_cancer_cells","translated_internal_url":"","created_at":"2022-07-05T09:57:57.593-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":44246,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":88288861,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88288861/thumbnails/1.jpg","file_name":"C7RA06580A.pdf","download_url":"https://www.academia.edu/attachments/88288861/download_file?st=MTczMjcxNjgwNyw4LjIyMi4yMDguMTQ2&st=MTczMjcxNjgwNiw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"The_in_vivo_anti_tumor_effect_of_curcumi.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88288861/C7RA06580A-libre.pdf?1657042925=\u0026response-content-disposition=attachment%3B+filename%3DThe_in_vivo_anti_tumor_effect_of_curcumi.pdf\u0026Expires=1732720406\u0026Signature=bEtlzeRgObVFPyaUxdWam5dA-J3~1KB2pSW9tSqvBDIwvCEzmJHtp69Z7TdQLGFexOSk96-E8GX4WXZpJRtDlkJ4CHGcu6jUE6XQf8GjidldhxI8gAgDmDWKFu6EDbEsBpEDrYzBPN3M5wYygbwDOWKqv9U~zN7lBotHgEqQ4FQPvcoWGNedXSxXmLOzpQ5mSDYt~msCZuM2up9oEY9VnWCOKV6xDG97BSyRtkGW-Ehnja1kTOrPF2xqsDB~nGe1l4QDhHC~d2UOc3OGlHZsw-0AtgYtn9kMRXGevjaPt9Vxp3fJkKr08f-k10cu3SiwlyZMyAcN7D2~Zuk0xydGuQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"The_in_vivo_anti_tumor_effect_of_curcumin_derivative_2E_6E_2_6_bis_4_hydroxy_3_methoxybenzylidene_cyclohexanone_BHMC_on_4T1_breast_cancer_cells","translated_slug":"","page_count":8,"language":"en","content_type":"Work","owner":{"id":44246,"first_name":"Saiful Nizam","middle_initials":null,"last_name":"Tajuddin","page_name":"SaifulNizamTajuddin","domain_name":"ump","created_at":"2009-05-20T16:06:27.322-07:00","display_name":"Saiful Nizam Tajuddin","url":"https://ump.academia.edu/SaifulNizamTajuddin"},"attachments":[{"id":88288861,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88288861/thumbnails/1.jpg","file_name":"C7RA06580A.pdf","download_url":"https://www.academia.edu/attachments/88288861/download_file?st=MTczMjcxNjgwNyw4LjIyMi4yMDguMTQ2&st=MTczMjcxNjgwNiw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"The_in_vivo_anti_tumor_effect_of_curcumi.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88288861/C7RA06580A-libre.pdf?1657042925=\u0026response-content-disposition=attachment%3B+filename%3DThe_in_vivo_anti_tumor_effect_of_curcumi.pdf\u0026Expires=1732720406\u0026Signature=bEtlzeRgObVFPyaUxdWam5dA-J3~1KB2pSW9tSqvBDIwvCEzmJHtp69Z7TdQLGFexOSk96-E8GX4WXZpJRtDlkJ4CHGcu6jUE6XQf8GjidldhxI8gAgDmDWKFu6EDbEsBpEDrYzBPN3M5wYygbwDOWKqv9U~zN7lBotHgEqQ4FQPvcoWGNedXSxXmLOzpQ5mSDYt~msCZuM2up9oEY9VnWCOKV6xDG97BSyRtkGW-Ehnja1kTOrPF2xqsDB~nGe1l4QDhHC~d2UOc3OGlHZsw-0AtgYtn9kMRXGevjaPt9Vxp3fJkKr08f-k10cu3SiwlyZMyAcN7D2~Zuk0xydGuQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":88288860,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88288860/thumbnails/1.jpg","file_name":"C7RA06580A.pdf","download_url":"https://www.academia.edu/attachments/88288860/download_file","bulk_download_file_name":"The_in_vivo_anti_tumor_effect_of_curcumi.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88288860/C7RA06580A-libre.pdf?1657042924=\u0026response-content-disposition=attachment%3B+filename%3DThe_in_vivo_anti_tumor_effect_of_curcumi.pdf\u0026Expires=1732720406\u0026Signature=fPYcdBtK~-CLDPOxlF1-D0lFUSWR1OTPCJyxQdyPtGINa~xA0L3BKXlvZGbuqFmsCoaPBUYjbWByabaiJQbcRfwxWX5xm53mw1MwfI14fD7GhLcymzrHQkvrxv3GaWjz-bY-MRhhEo~Dra5I1bLsJLG-cLy14H8Ddr8haOPskI75WAPFXQwxH8UJVyYgmulBUQ9qJdq8RvZzaCy1Q3N6XDDnquMVevv3gYtgARCdZgXbbSZnEEuhtUFi3dH6dsSpE2LByLHQ4TGzWoD-wnvq1~7n1gEuPm~mK1SyNFyOlu5hQCgKgqLeXwB56P~Q2Fn5D99znjgecqhHRlnOt1mrWA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":523,"name":"Chemistry","url":"https://www.academia.edu/Documents/in/Chemistry"},{"id":93232,"name":"Curcumin","url":"https://www.academia.edu/Documents/in/Curcumin"},{"id":191586,"name":"RSC","url":"https://www.academia.edu/Documents/in/RSC"},{"id":302037,"name":"In Vivo","url":"https://www.academia.edu/Documents/in/In_Vivo"}],"urls":[{"id":21944593,"url":"http://pubs.rsc.org/en/content/articlepdf/2017/RA/C7RA06580A"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="82652835"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/82652835/Analysis_on_agarwood_vapour_using_headspace_volatile_DVB_CAR_PDMS_SPME_with_different_sampling_time"><img alt="Research paper thumbnail of Analysis on agarwood vapour using headspace volatile DVB-CAR-PDMS SPME with different sampling time" class="work-thumbnail" src="https://attachments.academia-assets.com/88289196/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/82652835/Analysis_on_agarwood_vapour_using_headspace_volatile_DVB_CAR_PDMS_SPME_with_different_sampling_time">Analysis on agarwood vapour using headspace volatile DVB-CAR-PDMS SPME with different sampling time</a></div><div class="wp-workCard_item"><span>2016 7th IEEE Control and System Graduate Research Colloquium (ICSGRC)</span><span>, 2016</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="508e9b71b9bcb44e51ed1d0c4d9c8120" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{&quot;attachment_id&quot;:88289196,&quot;asset_id&quot;:82652835,&quot;asset_type&quot;:&quot;Work&quot;,&quot;button_location&quot;:&quot;profile&quot;}" href="https://www.academia.edu/attachments/88289196/download_file?st=MTczMjcxNjgwNyw4LjIyMi4yMDguMTQ2&st=MTczMjcxNjgwNiw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82652835"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82652835"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82652835; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=82652835]").text(description); $(".js-view-count[data-work-id=82652835]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 82652835; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='82652835']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 82652835, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "508e9b71b9bcb44e51ed1d0c4d9c8120" } } $('.js-work-strip[data-work-id=82652835]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":82652835,"title":"Analysis on agarwood vapour using headspace volatile DVB-CAR-PDMS SPME with different sampling time","translated_title":"","metadata":{"publisher":"IEEE","grobid_abstract":"Due to its popularity and high market demand, critical analysis on agarwood vapour chemical compounds may provide an alternative quality discrimination of agarwood oil. The proposed work involves the extraction of high quality agarwood using headspace volatile divinylbenzene-carboxenpolydimethysiloxane (DVB-CAR-PDMS) solid phase microextraction (SPME) with different sampling time at 15, 30 and 60 minutes. Then, Gas chromatography-Mass Spectroscopy (GC-MS) is performed to identify the chemical compounds. Generally, agarwood vapour is rich in terpene group especially monoterpene, sesquiterpene and oxygenated sesquiterpene. Analysis showed that at least 52, 50 and 54 compounds are extracted at 15, 30 and 60 minutes, respectively. Among all, duration of 60 minutes produced the highest abundance (%) for caryophellene oxide. The finding proves that caryophellene oxide as one of the important compounds in high agarwood and different sampling time plays a major role that effects the extraction. Thus, the analysis in this study is significant and brings benefit especially to the agarwood and its essential oil research area.","publication_date":{"day":null,"month":null,"year":2016,"errors":{}},"publication_name":"2016 7th IEEE Control and System Graduate Research Colloquium (ICSGRC)","grobid_abstract_attachment_id":88289196},"translated_abstract":null,"internal_url":"https://www.academia.edu/82652835/Analysis_on_agarwood_vapour_using_headspace_volatile_DVB_CAR_PDMS_SPME_with_different_sampling_time","translated_internal_url":"","created_at":"2022-07-05T09:57:55.767-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":44246,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":88289196,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88289196/thumbnails/1.jpg","file_name":"Analysis_20on_20Agarwood_20Vapour_20using_20Headspace_20Volatile_20DVB-CAR-PDMS_20SPME_20with_20Different_20Sampling_20Time_201.pdf","download_url":"https://www.academia.edu/attachments/88289196/download_file?st=MTczMjcxNjgwNyw4LjIyMi4yMDguMTQ2&st=MTczMjcxNjgwNiw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Analysis_on_agarwood_vapour_using_headsp.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88289196/Analysis_20on_20Agarwood_20Vapour_20using_20Headspace_20Volatile_20DVB-CAR-PDMS_20SPME_20with_20Different_20Sampling_20Time_201-libre.pdf?1657042886=\u0026response-content-disposition=attachment%3B+filename%3DAnalysis_on_agarwood_vapour_using_headsp.pdf\u0026Expires=1732720406\u0026Signature=LffHqhT1r54D0uXJsrEzsxQJyCXISh~BkFpVnsqY56SU05Mmj8m2Vabry-H-YlKyvNGZ98wlpGQdGG2PzyBvxtbyW7xPX175Vd2ESd8Rtg8xx36e4k~wcC3Ad5FgndQ2lYpl7knofERpK1TfwNCwlfbsmwwJuP1QLt591Ptu2oqaJxO4bXBWFdFeZgQ6gvPCfAp6BEShUTO4ljXSQSzVzuvCIdjbgj1xSVWvMxMJOSi-wPzNVjEIFralS7yF-d~Z3Zp2BZ39jyhiLWDS7U5Hv8tiOTcBdbS92AiZiB~rv~Lf9nelMN9FuobbtBqsgtcgYr1Z9F8cXK-3a7FvViKpNA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Analysis_on_agarwood_vapour_using_headspace_volatile_DVB_CAR_PDMS_SPME_with_different_sampling_time","translated_slug":"","page_count":1,"language":"en","content_type":"Work","owner":{"id":44246,"first_name":"Saiful Nizam","middle_initials":null,"last_name":"Tajuddin","page_name":"SaifulNizamTajuddin","domain_name":"ump","created_at":"2009-05-20T16:06:27.322-07:00","display_name":"Saiful Nizam Tajuddin","url":"https://ump.academia.edu/SaifulNizamTajuddin"},"attachments":[{"id":88289196,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88289196/thumbnails/1.jpg","file_name":"Analysis_20on_20Agarwood_20Vapour_20using_20Headspace_20Volatile_20DVB-CAR-PDMS_20SPME_20with_20Different_20Sampling_20Time_201.pdf","download_url":"https://www.academia.edu/attachments/88289196/download_file?st=MTczMjcxNjgwNyw4LjIyMi4yMDguMTQ2&st=MTczMjcxNjgwNiw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Analysis_on_agarwood_vapour_using_headsp.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88289196/Analysis_20on_20Agarwood_20Vapour_20using_20Headspace_20Volatile_20DVB-CAR-PDMS_20SPME_20with_20Different_20Sampling_20Time_201-libre.pdf?1657042886=\u0026response-content-disposition=attachment%3B+filename%3DAnalysis_on_agarwood_vapour_using_headsp.pdf\u0026Expires=1732720406\u0026Signature=LffHqhT1r54D0uXJsrEzsxQJyCXISh~BkFpVnsqY56SU05Mmj8m2Vabry-H-YlKyvNGZ98wlpGQdGG2PzyBvxtbyW7xPX175Vd2ESd8Rtg8xx36e4k~wcC3Ad5FgndQ2lYpl7knofERpK1TfwNCwlfbsmwwJuP1QLt591Ptu2oqaJxO4bXBWFdFeZgQ6gvPCfAp6BEShUTO4ljXSQSzVzuvCIdjbgj1xSVWvMxMJOSi-wPzNVjEIFralS7yF-d~Z3Zp2BZ39jyhiLWDS7U5Hv8tiOTcBdbS92AiZiB~rv~Lf9nelMN9FuobbtBqsgtcgYr1Z9F8cXK-3a7FvViKpNA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":161542,"name":"Solid Phase Microextraction","url":"https://www.academia.edu/Documents/in/Solid_Phase_Microextraction"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="82652825"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/82652825/Direct_Thermal_Desorption_DTD_extraction_for_different_qualities_of_agarwood_incense_analysis"><img alt="Research paper thumbnail of Direct Thermal Desorption (DTD) extraction for different qualities of agarwood incense analysis" class="work-thumbnail" src="https://attachments.academia-assets.com/88289190/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/82652825/Direct_Thermal_Desorption_DTD_extraction_for_different_qualities_of_agarwood_incense_analysis">Direct Thermal Desorption (DTD) extraction for different qualities of agarwood incense analysis</a></div><div class="wp-workCard_item"><span>2016 IEEE 12th International Colloquium on Signal Processing &amp; Its Applications (CSPA)</span><span>, 2016</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="3d1487054433ab18d09de420f46a7de6" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{&quot;attachment_id&quot;:88289190,&quot;asset_id&quot;:82652825,&quot;asset_type&quot;:&quot;Work&quot;,&quot;button_location&quot;:&quot;profile&quot;}" href="https://www.academia.edu/attachments/88289190/download_file?st=MTczMjcxNjgwNyw4LjIyMi4yMDguMTQ2&st=MTczMjcxNjgwNiw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82652825"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82652825"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82652825; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=82652825]").text(description); $(".js-view-count[data-work-id=82652825]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 82652825; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='82652825']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 82652825, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "3d1487054433ab18d09de420f46a7de6" } } $('.js-work-strip[data-work-id=82652825]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":82652825,"title":"Direct Thermal Desorption (DTD) extraction for different qualities of agarwood incense analysis","translated_title":"","metadata":{"publisher":"IEEE","grobid_abstract":"Agarwood is well known as one of expensive and valuable woods due to its high demand in the market. As part of ongoing research in establishing agarwood oil quality grading, this paper presents Direct Thermal Desorption (DTD) in extracting commercial, high and low quality of agarwood incense. The Gas Chromatography-Flame Ionization Detection (GC-FID) and Gas Chromatography-Mass Spectroscopy (GC-MS) then are followed to analyze the compounds. All the identified compounds are tabulated and plotted. The result showed that high quality sample yielded the highest number of compounds, 35, followed by commercial, 32 and low quality sample, 9. It revealed that the highest relative peak areas (%) for compounds in three types of sample are different to each other. They are 8.98% (γ-gurjunene) in high quality, 11.95% (agarospirol) in low quality and 17.97% (hexadecanol) in commercial. Nine compounds, α-guaiene, βselinene, agarospirol, guaia-1(10),11-dien-15-al, pentadecanoic acid, hexadecanol, eudesmol, guaia-1(10),11-dien-15,2-olide and 2-(2-phenylethyl) chromone exist in all samples but varied in their relative peak area (%). The finding using proposed method, DTD is significant, hence it will benefit further analysis especially for agarwood grading.","publication_date":{"day":null,"month":null,"year":2016,"errors":{}},"publication_name":"2016 IEEE 12th International Colloquium on Signal Processing \u0026 Its Applications (CSPA)","grobid_abstract_attachment_id":88289190},"translated_abstract":null,"internal_url":"https://www.academia.edu/82652825/Direct_Thermal_Desorption_DTD_extraction_for_different_qualities_of_agarwood_incense_analysis","translated_internal_url":"","created_at":"2022-07-05T09:57:54.367-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":44246,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":88289190,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88289190/thumbnails/1.jpg","file_name":"fist-2016-mastura-Direct_20Thermal_20Desorption_20DTD_20Extraction.pdf","download_url":"https://www.academia.edu/attachments/88289190/download_file?st=MTczMjcxNjgwNyw4LjIyMi4yMDguMTQ2&st=MTczMjcxNjgwNiw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Direct_Thermal_Desorption_DTD_extraction.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88289190/fist-2016-mastura-Direct_20Thermal_20Desorption_20DTD_20Extraction-libre.pdf?1657042888=\u0026response-content-disposition=attachment%3B+filename%3DDirect_Thermal_Desorption_DTD_extraction.pdf\u0026Expires=1732720406\u0026Signature=IVbkT3j3xpn0o70AU0pRcR-d1r04xJr-ZbItNiT4r9LyXi~FRSowoPLNzj8qSGRzbQ9aLb5iIjwQSd-qodOXkvxAYoX6-~3FKEbZIbwCupj~LWLqKYhpb1KbuTFLwhhDsB~uO1TTe6uVHY1ta-KZWPysL~iOkYgQ59ZJJ-~I73mvPWySsUFaRwDRTC3u67h4FXv-zUfJLMrYpsvq5VrJqeQV9Mc4r-eYexiTfNCgbT78WB-WRvWnER0w1A0qEkTEPbKlJ4oPC8XhigvzFKa6P-HhKia1CHLBfDDxjeBOLttdj4oQPGBl86vg5RigMEAwCd1wO-A23tdMJVsyCdMDVw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Direct_Thermal_Desorption_DTD_extraction_for_different_qualities_of_agarwood_incense_analysis","translated_slug":"","page_count":1,"language":"en","content_type":"Work","owner":{"id":44246,"first_name":"Saiful Nizam","middle_initials":null,"last_name":"Tajuddin","page_name":"SaifulNizamTajuddin","domain_name":"ump","created_at":"2009-05-20T16:06:27.322-07:00","display_name":"Saiful Nizam Tajuddin","url":"https://ump.academia.edu/SaifulNizamTajuddin"},"attachments":[{"id":88289190,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88289190/thumbnails/1.jpg","file_name":"fist-2016-mastura-Direct_20Thermal_20Desorption_20DTD_20Extraction.pdf","download_url":"https://www.academia.edu/attachments/88289190/download_file?st=MTczMjcxNjgwNyw4LjIyMi4yMDguMTQ2&st=MTczMjcxNjgwNiw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Direct_Thermal_Desorption_DTD_extraction.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88289190/fist-2016-mastura-Direct_20Thermal_20Desorption_20DTD_20Extraction-libre.pdf?1657042888=\u0026response-content-disposition=attachment%3B+filename%3DDirect_Thermal_Desorption_DTD_extraction.pdf\u0026Expires=1732720406\u0026Signature=IVbkT3j3xpn0o70AU0pRcR-d1r04xJr-ZbItNiT4r9LyXi~FRSowoPLNzj8qSGRzbQ9aLb5iIjwQSd-qodOXkvxAYoX6-~3FKEbZIbwCupj~LWLqKYhpb1KbuTFLwhhDsB~uO1TTe6uVHY1ta-KZWPysL~iOkYgQ59ZJJ-~I73mvPWySsUFaRwDRTC3u67h4FXv-zUfJLMrYpsvq5VrJqeQV9Mc4r-eYexiTfNCgbT78WB-WRvWnER0w1A0qEkTEPbKlJ4oPC8XhigvzFKa6P-HhKia1CHLBfDDxjeBOLttdj4oQPGBl86vg5RigMEAwCd1wO-A23tdMJVsyCdMDVw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":519511,"name":"Incense","url":"https://www.academia.edu/Documents/in/Incense"},{"id":883068,"name":"Agarwood","url":"https://www.academia.edu/Documents/in/Agarwood"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="82652818"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/82652818/Acrylic_microspheres_based_optosensor_for_visual_detection_of_nitrite"><img alt="Research paper thumbnail of Acrylic microspheres-based optosensor for visual detection of nitrite" class="work-thumbnail" src="https://attachments.academia-assets.com/88289187/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/82652818/Acrylic_microspheres_based_optosensor_for_visual_detection_of_nitrite">Acrylic microspheres-based optosensor for visual detection of nitrite</a></div><div class="wp-workCard_item"><span>Food Chemistry</span><span>, 2016</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="75ac27fe942d4d7489e58fbfd4f3c470" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{&quot;attachment_id&quot;:88289187,&quot;asset_id&quot;:82652818,&quot;asset_type&quot;:&quot;Work&quot;,&quot;button_location&quot;:&quot;profile&quot;}" href="https://www.academia.edu/attachments/88289187/download_file?st=MTczMjcxNjgwNyw4LjIyMi4yMDguMTQ2&st=MTczMjcxNjgwNiw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82652818"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82652818"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82652818; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=82652818]").text(description); $(".js-view-count[data-work-id=82652818]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 82652818; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='82652818']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 82652818, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "75ac27fe942d4d7489e58fbfd4f3c470" } } $('.js-work-strip[data-work-id=82652818]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":82652818,"title":"Acrylic microspheres-based optosensor for visual detection of nitrite","translated_title":"","metadata":{"publisher":"Elsevier BV","grobid_abstract":"A new optosensor for visual quantitation of nitrite (NO 2 −) ion has been fabricated by physically immobilizing Safranine O (SO) reagent onto a self-adhesive poly(n-butyl acrylate) [poly(nBA)] microspheres matrix, which was synthesized via facile microemulsion UV lithography technique. Evaluation and optimization of the optical NO 2 − ion sensor was performed with a fiber optic reflectance spectrophotometer. Scanning electron micrograph showed well-shaped and smooth spherical morphology of the poly(nBA) microspheres with a narrow particles size distribution from 0.6 μm up to 1.8 μm. The uniform size distribution of the acrylic microspheres promoted homogeneity of the immobilized SO reagent molecules on the microspheres' surfaces, thereby enhanced the sensing response reproducibility (\u003c5% RSD) with a linear range obtained from 10 to 100 ppm NO 2 − ion. The micro-sized acrylic immobilization matrix demonstrated no significant barrier for diffusion of reactant and product, and served as a good solid state ion transport medium for reflectometric nitrite determination in food samples.","publication_date":{"day":null,"month":null,"year":2016,"errors":{}},"publication_name":"Food Chemistry","grobid_abstract_attachment_id":88289187},"translated_abstract":null,"internal_url":"https://www.academia.edu/82652818/Acrylic_microspheres_based_optosensor_for_visual_detection_of_nitrite","translated_internal_url":"","created_at":"2022-07-05T09:57:52.839-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":44246,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":88289187,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88289187/thumbnails/1.jpg","file_name":"Acrylic_20Microspheres-Based_20Optosensor_20for_20Visual_20Detection_20Of_20Nitrite.pdf","download_url":"https://www.academia.edu/attachments/88289187/download_file?st=MTczMjcxNjgwNyw4LjIyMi4yMDguMTQ2&st=MTczMjcxNjgwNiw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Acrylic_microspheres_based_optosensor_fo.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88289187/Acrylic_20Microspheres-Based_20Optosensor_20for_20Visual_20Detection_20Of_20Nitrite-libre.pdf?1657042887=\u0026response-content-disposition=attachment%3B+filename%3DAcrylic_microspheres_based_optosensor_fo.pdf\u0026Expires=1732720406\u0026Signature=Z7sRPept0RCW0GzWqmP8xqPaHewpwE53z0J9Cy1ZDtPwAYKZ7Ok3VAUR9jYk-EFwoYRG3YRPgkgn2gOcvhpTVsjth-D1dHVDeyX5mpNpIbSxPHJFDB43tc1X2m5gg~KAN0XWXI~HJgspMwo5pTrh3aHA3flAoQs4PWOEVWBjp7HJg8J-~yZAgKjCOHlO1ZR-n8unD6XvjITC2hjA~QgsD5EWsEIEGFG9qbudICBiYYdUlqK3Uc~iHidU~gsfCGBWzR5~CIanMy~tX7tKst5vIpiwP8PvIuqQdFHIfoWlzXclm1mtIbM7hHtTt4Qs0CybhZagnzgczmiZGuVRGHh4jw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Acrylic_microspheres_based_optosensor_for_visual_detection_of_nitrite","translated_slug":"","page_count":1,"language":"en","content_type":"Work","owner":{"id":44246,"first_name":"Saiful Nizam","middle_initials":null,"last_name":"Tajuddin","page_name":"SaifulNizamTajuddin","domain_name":"ump","created_at":"2009-05-20T16:06:27.322-07:00","display_name":"Saiful Nizam Tajuddin","url":"https://ump.academia.edu/SaifulNizamTajuddin"},"attachments":[{"id":88289187,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88289187/thumbnails/1.jpg","file_name":"Acrylic_20Microspheres-Based_20Optosensor_20for_20Visual_20Detection_20Of_20Nitrite.pdf","download_url":"https://www.academia.edu/attachments/88289187/download_file?st=MTczMjcxNjgwNyw4LjIyMi4yMDguMTQ2&st=MTczMjcxNjgwNiw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Acrylic_microspheres_based_optosensor_fo.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88289187/Acrylic_20Microspheres-Based_20Optosensor_20for_20Visual_20Detection_20Of_20Nitrite-libre.pdf?1657042887=\u0026response-content-disposition=attachment%3B+filename%3DAcrylic_microspheres_based_optosensor_fo.pdf\u0026Expires=1732720406\u0026Signature=Z7sRPept0RCW0GzWqmP8xqPaHewpwE53z0J9Cy1ZDtPwAYKZ7Ok3VAUR9jYk-EFwoYRG3YRPgkgn2gOcvhpTVsjth-D1dHVDeyX5mpNpIbSxPHJFDB43tc1X2m5gg~KAN0XWXI~HJgspMwo5pTrh3aHA3flAoQs4PWOEVWBjp7HJg8J-~yZAgKjCOHlO1ZR-n8unD6XvjITC2hjA~QgsD5EWsEIEGFG9qbudICBiYYdUlqK3Uc~iHidU~gsfCGBWzR5~CIanMy~tX7tKst5vIpiwP8PvIuqQdFHIfoWlzXclm1mtIbM7hHtTt4Qs0CybhZagnzgczmiZGuVRGHh4jw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":511,"name":"Materials Science","url":"https://www.academia.edu/Documents/in/Materials_Science"},{"id":523,"name":"Chemistry","url":"https://www.academia.edu/Documents/in/Chemistry"},{"id":16137,"name":"Food Chemistry","url":"https://www.academia.edu/Documents/in/Food_Chemistry"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":28235,"name":"Multidisciplinary","url":"https://www.academia.edu/Documents/in/Multidisciplinary"},{"id":159980,"name":"Phenazines","url":"https://www.academia.edu/Documents/in/Phenazines"},{"id":162978,"name":"Nitrite","url":"https://www.academia.edu/Documents/in/Nitrite"},{"id":390245,"name":"Particle Size","url":"https://www.academia.edu/Documents/in/Particle_Size"},{"id":794074,"name":"Microspheres","url":"https://www.academia.edu/Documents/in/Microspheres"},{"id":1654024,"name":"Nitrites","url":"https://www.academia.edu/Documents/in/Nitrites"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="82652806"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/82652806/Major_Volatile_Chemical_Compounds_of_Agarwood_Oils_from_Malaysia_Based_on_Z_Score_Technique"><img alt="Research paper thumbnail of Major Volatile Chemical Compounds of Agarwood Oils from Malaysia Based on Z-Score Technique" class="work-thumbnail" src="https://attachments.academia-assets.com/88289182/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/82652806/Major_Volatile_Chemical_Compounds_of_Agarwood_Oils_from_Malaysia_Based_on_Z_Score_Technique">Major Volatile Chemical Compounds of Agarwood Oils from Malaysia Based on Z-Score Technique</a></div><div class="wp-workCard_item"><span>Chemistry of Natural Compounds</span><span>, 2015</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="fda2c35f014bd068739fc7085baf3f1b" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{&quot;attachment_id&quot;:88289182,&quot;asset_id&quot;:82652806,&quot;asset_type&quot;:&quot;Work&quot;,&quot;button_location&quot;:&quot;profile&quot;}" href="https://www.academia.edu/attachments/88289182/download_file?st=MTczMjcxNjgwNyw4LjIyMi4yMDguMTQ2&st=MTczMjcxNjgwNiw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82652806"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82652806"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82652806; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=82652806]").text(description); $(".js-view-count[data-work-id=82652806]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 82652806; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='82652806']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 82652806, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "fda2c35f014bd068739fc7085baf3f1b" } } $('.js-work-strip[data-work-id=82652806]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":82652806,"title":"Major Volatile Chemical Compounds of Agarwood Oils from Malaysia Based on Z-Score Technique","translated_title":"","metadata":{"publisher":"Springer Nature","grobid_abstract":"Agarwood oil has been widely used in a number of different applications, including its use as a perfumery ingredient in incense products and a therapeutic agent in traditional medicines [1-8]. The oil itself can be obtained from the scented wood of plants belonging to the Aquilaria species (Thymelaeaceae) [1]. Agarwood oil consists of a complex mixture of chemicals, including sesquiterpenes, oxygenated sesquiterpenes, and chromone derivatives \u003e7-9@. These compounds can be used to differentiate agarwood oil into different grades and therefore have a significant impact on its quality and commercial value [8]. Many factors can influence the quality of agarwood oil, but the two most important are the chemical composition of the oil and the temperature used during the extraction of the oil from plant material [8, 10]. Agarwood oil is currently extracted from plant materials using a combination of GC/MS and solid-phase microextraction (SPME) techniques, which allow for the volatile chemical compounds characteristic of its odor to be successfully extracted from a complex mixture without using solvents [3, 11].","publication_date":{"day":null,"month":null,"year":2015,"errors":{}},"publication_name":"Chemistry of Natural Compounds","grobid_abstract_attachment_id":88289182},"translated_abstract":null,"internal_url":"https://www.academia.edu/82652806/Major_Volatile_Chemical_Compounds_of_Agarwood_Oils_from_Malaysia_Based_on_Z_Score_Technique","translated_internal_url":"","created_at":"2022-07-05T09:57:51.150-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":44246,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":88289182,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88289182/thumbnails/1.jpg","file_name":"fist-2015-saiful-Major_20Volatile_20Chemical_20Compounds1.pdf","download_url":"https://www.academia.edu/attachments/88289182/download_file?st=MTczMjcxNjgwNyw4LjIyMi4yMDguMTQ2&st=MTczMjcxNjgwNiw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Major_Volatile_Chemical_Compounds_of_Aga.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88289182/fist-2015-saiful-Major_20Volatile_20Chemical_20Compounds1-libre.pdf?1657042886=\u0026response-content-disposition=attachment%3B+filename%3DMajor_Volatile_Chemical_Compounds_of_Aga.pdf\u0026Expires=1732720406\u0026Signature=F~zTR9x2JWn8FeadWceVcfI9IEy9MBb6ofxiJSpvWR8~AXvpx7xds~z8GtloZCkIc4zumJ8leaKS-CBlCanK6TYebvRc9wEEAT9Sx8-7h4LBDHEPkTgrEL~Q5XM3jxZ-vMyrNnbnE0ieTguV3CLwIksdr4jms0qpupg1aIUcJ9WfbAjmkONvManGDIOqKJpUhEFIgNj4hYd7ajFAV0zUa~rv0NO2hC1N4fj7xG-beyTUEkt4Y1sdI4JqXA29n2MXvoh25an47iOEDZjbsEB785-LjLtSkAByiQQkVSVQT21OJxmuJcC2CNVlqxNnPLM849DxBMX-Ibng2bvSZ90N-w__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Major_Volatile_Chemical_Compounds_of_Agarwood_Oils_from_Malaysia_Based_on_Z_Score_Technique","translated_slug":"","page_count":1,"language":"en","content_type":"Work","owner":{"id":44246,"first_name":"Saiful Nizam","middle_initials":null,"last_name":"Tajuddin","page_name":"SaifulNizamTajuddin","domain_name":"ump","created_at":"2009-05-20T16:06:27.322-07:00","display_name":"Saiful Nizam Tajuddin","url":"https://ump.academia.edu/SaifulNizamTajuddin"},"attachments":[{"id":88289182,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88289182/thumbnails/1.jpg","file_name":"fist-2015-saiful-Major_20Volatile_20Chemical_20Compounds1.pdf","download_url":"https://www.academia.edu/attachments/88289182/download_file?st=MTczMjcxNjgwNyw4LjIyMi4yMDguMTQ2&st=MTczMjcxNjgwNiw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Major_Volatile_Chemical_Compounds_of_Aga.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88289182/fist-2015-saiful-Major_20Volatile_20Chemical_20Compounds1-libre.pdf?1657042886=\u0026response-content-disposition=attachment%3B+filename%3DMajor_Volatile_Chemical_Compounds_of_Aga.pdf\u0026Expires=1732720406\u0026Signature=F~zTR9x2JWn8FeadWceVcfI9IEy9MBb6ofxiJSpvWR8~AXvpx7xds~z8GtloZCkIc4zumJ8leaKS-CBlCanK6TYebvRc9wEEAT9Sx8-7h4LBDHEPkTgrEL~Q5XM3jxZ-vMyrNnbnE0ieTguV3CLwIksdr4jms0qpupg1aIUcJ9WfbAjmkONvManGDIOqKJpUhEFIgNj4hYd7ajFAV0zUa~rv0NO2hC1N4fj7xG-beyTUEkt4Y1sdI4JqXA29n2MXvoh25an47iOEDZjbsEB785-LjLtSkAByiQQkVSVQT21OJxmuJcC2CNVlqxNnPLM849DxBMX-Ibng2bvSZ90N-w__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":523,"name":"Chemistry","url":"https://www.academia.edu/Documents/in/Chemistry"},{"id":531,"name":"Organic Chemistry","url":"https://www.academia.edu/Documents/in/Organic_Chemistry"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="82652802"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/82652802/Reflectometric_Optosensor_for_Visual_Detection_of_Ammonia_Based_on_Silica_Pellet_Sensing_Material"><img alt="Research paper thumbnail of Reflectometric Optosensor for Visual Detection of Ammonia Based on Silica Pellet Sensing Material" class="work-thumbnail" src="https://attachments.academia-assets.com/88289184/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/82652802/Reflectometric_Optosensor_for_Visual_Detection_of_Ammonia_Based_on_Silica_Pellet_Sensing_Material">Reflectometric Optosensor for Visual Detection of Ammonia Based on Silica Pellet Sensing Material</a></div><div class="wp-workCard_item"><span>ICGSCE 2014</span><span>, 2015</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="a12f06f9e984074644774ad815ad2a09" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{&quot;attachment_id&quot;:88289184,&quot;asset_id&quot;:82652802,&quot;asset_type&quot;:&quot;Work&quot;,&quot;button_location&quot;:&quot;profile&quot;}" href="https://www.academia.edu/attachments/88289184/download_file?st=MTczMjcxNjgwNyw4LjIyMi4yMDguMTQ2&st=MTczMjcxNjgwNyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82652802"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82652802"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82652802; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=82652802]").text(description); $(".js-view-count[data-work-id=82652802]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 82652802; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='82652802']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 82652802, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "a12f06f9e984074644774ad815ad2a09" } } $('.js-work-strip[data-work-id=82652802]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":82652802,"title":"Reflectometric Optosensor for Visual Detection of Ammonia Based on Silica Pellet Sensing Material","translated_title":"","metadata":{"grobid_abstract":"Ammonia (NH 3) has been widely used in the manufacture of fertilizers that applied to soil, but the high consumption of fertilizers will end up with water pollution. Owing to the deleterious effects of NH 3 to human and environment, a new optosensor for NH 3 has been fabricated based on silica pellet sensing material. Microsilica was synthesized by sol-gel method in the presence of cobalt(II) chloride hexahydrate (CoCl 2 •6H 2 O), followed by manual grinding process to obtain microsized silica particles. Due to the non-transparent pellet material used for NH 3 sensing, a fiber optic reflectance spectrophotometer was employed for monitoring of reflectance signal transduction event as the pellet colour changed from pink to blue hue upon reaction with NH 3 at optimum pH 13. Due to the high porosity and surface area of silica microparticles were used as immobilization matrix, the immobilized Co 2+ ion demonstrated broad dynamic linear range from 18 to 100 ppm NH 3 with a fast response time of 3 min. The reflectometric sensing protocol involves a single-step NH 3 assay which merely requires dispensing small aliquots of NH 3 onto the reaction surface of the pellet sensor. This makes on-site","publication_date":{"day":null,"month":null,"year":2015,"errors":{}},"publication_name":"ICGSCE 2014","grobid_abstract_attachment_id":88289184},"translated_abstract":null,"internal_url":"https://www.academia.edu/82652802/Reflectometric_Optosensor_for_Visual_Detection_of_Ammonia_Based_on_Silica_Pellet_Sensing_Material","translated_internal_url":"","created_at":"2022-07-05T09:57:49.676-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":44246,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":88289184,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88289184/thumbnails/1.jpg","file_name":"Reflectometric-Optosensor-for-Visual-Detection-of-Ammonia-Based-on-Silica-Pellet-Sensing-Material.pdf","download_url":"https://www.academia.edu/attachments/88289184/download_file?st=MTczMjcxNjgwNyw4LjIyMi4yMDguMTQ2&st=MTczMjcxNjgwNyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Reflectometric_Optosensor_for_Visual_Det.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88289184/Reflectometric-Optosensor-for-Visual-Detection-of-Ammonia-Based-on-Silica-Pellet-Sensing-Material-libre.pdf?1657042888=\u0026response-content-disposition=attachment%3B+filename%3DReflectometric_Optosensor_for_Visual_Det.pdf\u0026Expires=1732720407\u0026Signature=Si06TrYlhyvJdb0qyxsWzf5H5vGuEI7dDka1Dv1Jpa0Tdv2Wz6QahUVXZ41Wk16Notx~o22cehlYUW3MK5eXxGEjbaX1uKkKHhxW1~x1Ii2S-ZNaywAm2ojR9Ww~uIMLj7cbmuJcAIQT5txSbV1Os8tL1pnJm6lvB5Lch-R~twA3kCQs4YFFPBlE0pbcLfQdC1n5cQHm-LCdNzGb0Nf-e9Ll6bjzz8Rf3zu297YjoeR9~2-zTMEf-psCdIBX~4n7O9FL2JfsYOJB4aVfmywD3tg2w8uFSje7XZ1TcIb2~kUmfNsK7WRx5lWUnYhxGNZmB5mZt8heKzouDeTQJ1bq8A__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Reflectometric_Optosensor_for_Visual_Detection_of_Ammonia_Based_on_Silica_Pellet_Sensing_Material","translated_slug":"","page_count":9,"language":"en","content_type":"Work","owner":{"id":44246,"first_name":"Saiful Nizam","middle_initials":null,"last_name":"Tajuddin","page_name":"SaifulNizamTajuddin","domain_name":"ump","created_at":"2009-05-20T16:06:27.322-07:00","display_name":"Saiful Nizam Tajuddin","url":"https://ump.academia.edu/SaifulNizamTajuddin"},"attachments":[{"id":88289184,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88289184/thumbnails/1.jpg","file_name":"Reflectometric-Optosensor-for-Visual-Detection-of-Ammonia-Based-on-Silica-Pellet-Sensing-Material.pdf","download_url":"https://www.academia.edu/attachments/88289184/download_file?st=MTczMjcxNjgwNyw4LjIyMi4yMDguMTQ2&st=MTczMjcxNjgwNyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Reflectometric_Optosensor_for_Visual_Det.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88289184/Reflectometric-Optosensor-for-Visual-Detection-of-Ammonia-Based-on-Silica-Pellet-Sensing-Material-libre.pdf?1657042888=\u0026response-content-disposition=attachment%3B+filename%3DReflectometric_Optosensor_for_Visual_Det.pdf\u0026Expires=1732720407\u0026Signature=Si06TrYlhyvJdb0qyxsWzf5H5vGuEI7dDka1Dv1Jpa0Tdv2Wz6QahUVXZ41Wk16Notx~o22cehlYUW3MK5eXxGEjbaX1uKkKHhxW1~x1Ii2S-ZNaywAm2ojR9Ww~uIMLj7cbmuJcAIQT5txSbV1Os8tL1pnJm6lvB5Lch-R~twA3kCQs4YFFPBlE0pbcLfQdC1n5cQHm-LCdNzGb0Nf-e9Ll6bjzz8Rf3zu297YjoeR9~2-zTMEf-psCdIBX~4n7O9FL2JfsYOJB4aVfmywD3tg2w8uFSje7XZ1TcIb2~kUmfNsK7WRx5lWUnYhxGNZmB5mZt8heKzouDeTQJ1bq8A__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":511,"name":"Materials Science","url":"https://www.academia.edu/Documents/in/Materials_Science"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="82652795"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/82652795/Analysis_of_High_Quality_Agar_wood_Oil_Chemical_Compounds_By_Means_Of_SPME_GC_MS_and_Z_Score_Technique"><img alt="Research paper thumbnail of Analysis of High Quality Agar wood Oil Chemical Compounds By Means Of SPME/GC-MS and Z-Score Technique" class="work-thumbnail" src="https://attachments.academia-assets.com/88289226/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/82652795/Analysis_of_High_Quality_Agar_wood_Oil_Chemical_Compounds_By_Means_Of_SPME_GC_MS_and_Z_Score_Technique">Analysis of High Quality Agar wood Oil Chemical Compounds By Means Of SPME/GC-MS and Z-Score Technique</a></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="60186fc0927dac6b7ea30b3dc5b8f4b2" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{&quot;attachment_id&quot;:88289226,&quot;asset_id&quot;:82652795,&quot;asset_type&quot;:&quot;Work&quot;,&quot;button_location&quot;:&quot;profile&quot;}" href="https://www.academia.edu/attachments/88289226/download_file?st=MTczMjcxNjgwNyw4LjIyMi4yMDguMTQ2&st=MTczMjcxNjgwNyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82652795"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82652795"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82652795; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=82652795]").text(description); $(".js-view-count[data-work-id=82652795]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 82652795; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='82652795']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 82652795, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "60186fc0927dac6b7ea30b3dc5b8f4b2" } } $('.js-work-strip[data-work-id=82652795]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":82652795,"title":"Analysis of High Quality Agar wood Oil Chemical Compounds By Means Of SPME/GC-MS and Z-Score Technique","translated_title":"","metadata":{"grobid_abstract":"Currently, the grading of the agarwood oil to the high and low quality is done using manually such as human trained grader. It was performed based on the agarwood oil physical properties such as human experience and perception and the oil colour, odor and long lasting aroma. Several researchers found that chemical profiles of the oil should be utilized to overcome the problem facing by manual techniques i.e. human nose cannot tolerate with the many oils at the same time, so that accurate result can be obtained in grading the agarwood oil. The analysis involved of SPME/GC-MS and Z-score techniques have been proposed in this study to analyze the chemical compounds especially from the high quality samples of agarwood oil (Aquilariamalaccensis) from Malaysia. Two SPME fibers were used such as divinylbenzene-carboxen-polydimethylsiloxane (DVB-CAR-PDMS) and polydimethylsiloxane (PDMS) in extracting the oils' compound under three different sampling temperature conditions such as 40˚C, 60˚C and 80˚C. The chemical compounds extracted by SPME/GC-MS were analyzed. The chemical compounds as identified by Z-score as significant compounds were discussed before the conclusion is made. It was found that 10-epi-ϒeudesmol, aromadendrane, β-agarofuran, α-agarofuran and ϒ-eudesmol were highlighted as significant for high quality agarwood oil and can be used as a marker compounds in classifying the agarwood oil.","grobid_abstract_attachment_id":88289226},"translated_abstract":null,"internal_url":"https://www.academia.edu/82652795/Analysis_of_High_Quality_Agar_wood_Oil_Chemical_Compounds_By_Means_Of_SPME_GC_MS_and_Z_Score_Technique","translated_internal_url":"","created_at":"2022-07-05T09:57:48.209-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":44246,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":88289226,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88289226/thumbnails/1.jpg","file_name":"Nurlaila.pdf","download_url":"https://www.academia.edu/attachments/88289226/download_file?st=MTczMjcxNjgwNyw4LjIyMi4yMDguMTQ2&st=MTczMjcxNjgwNyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Analysis_of_High_Quality_Agar_wood_Oil_C.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88289226/Nurlaila-libre.pdf?1657042886=\u0026response-content-disposition=attachment%3B+filename%3DAnalysis_of_High_Quality_Agar_wood_Oil_C.pdf\u0026Expires=1732720407\u0026Signature=IwbQZTOiUkYabv5wykndYteVk3vIgXY2sOA3MBb~9rUa1DArKffDjYbn9Or9QztAaZfTDkKoBn9fBgDAQVypjmN~q6ZdAcq5W3Ov36-bZ98pe8hXlxZkjCjZPaPSjlwexSFur408l6E4joq0ig~FG8Ngqg7QLuZo7AaY3Y1SpNTTDxHqookTQjzJxDgJTm9vpLk7WkE-7V0luvbWVx2iQGqouhJPtGBasSPqzMJ6BTuvtyu6yhvnTydWZpJBLMaCcLR7fRlIUIYEqDnwt~ZCDUqsvw5ZuXnToGPdV~T6YXmLq7xBTFkC-4gJvAHX8pz9IClUnksmuDZZ16QlE4TjaA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Analysis_of_High_Quality_Agar_wood_Oil_Chemical_Compounds_By_Means_Of_SPME_GC_MS_and_Z_Score_Technique","translated_slug":"","page_count":11,"language":"en","content_type":"Work","owner":{"id":44246,"first_name":"Saiful Nizam","middle_initials":null,"last_name":"Tajuddin","page_name":"SaifulNizamTajuddin","domain_name":"ump","created_at":"2009-05-20T16:06:27.322-07:00","display_name":"Saiful Nizam Tajuddin","url":"https://ump.academia.edu/SaifulNizamTajuddin"},"attachments":[{"id":88289226,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88289226/thumbnails/1.jpg","file_name":"Nurlaila.pdf","download_url":"https://www.academia.edu/attachments/88289226/download_file?st=MTczMjcxNjgwNyw4LjIyMi4yMDguMTQ2&st=MTczMjcxNjgwNyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Analysis_of_High_Quality_Agar_wood_Oil_C.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88289226/Nurlaila-libre.pdf?1657042886=\u0026response-content-disposition=attachment%3B+filename%3DAnalysis_of_High_Quality_Agar_wood_Oil_C.pdf\u0026Expires=1732720407\u0026Signature=IwbQZTOiUkYabv5wykndYteVk3vIgXY2sOA3MBb~9rUa1DArKffDjYbn9Or9QztAaZfTDkKoBn9fBgDAQVypjmN~q6ZdAcq5W3Ov36-bZ98pe8hXlxZkjCjZPaPSjlwexSFur408l6E4joq0ig~FG8Ngqg7QLuZo7AaY3Y1SpNTTDxHqookTQjzJxDgJTm9vpLk7WkE-7V0luvbWVx2iQGqouhJPtGBasSPqzMJ6BTuvtyu6yhvnTydWZpJBLMaCcLR7fRlIUIYEqDnwt~ZCDUqsvw5ZuXnToGPdV~T6YXmLq7xBTFkC-4gJvAHX8pz9IClUnksmuDZZ16QlE4TjaA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":523,"name":"Chemistry","url":"https://www.academia.edu/Documents/in/Chemistry"},{"id":4656,"name":"Chromatography","url":"https://www.academia.edu/Documents/in/Chromatography"},{"id":529560,"name":"Gas Chromatography/mass Spectrometry","url":"https://www.academia.edu/Documents/in/Gas_Chromatography_mass_Spectrometry"},{"id":883068,"name":"Agarwood","url":"https://www.academia.edu/Documents/in/Agarwood"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="82652790"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/82652790/Analysis_of_chemical_compounds_of_agarwood_oil_based_on_headspace_solid_phase_microextraction_combined_with_gas_chromatography_mass_spectrometry"><img alt="Research paper thumbnail of Analysis of chemical compounds of agarwood oil based on headspace-solid phase microextraction combined with gas chromatography mass-spectrometry" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/82652790/Analysis_of_chemical_compounds_of_agarwood_oil_based_on_headspace_solid_phase_microextraction_combined_with_gas_chromatography_mass_spectrometry">Analysis of chemical compounds of agarwood oil based on headspace-solid phase microextraction combined with gas chromatography mass-spectrometry</a></div><div class="wp-workCard_item"><span>Proceedings - 2013 IEEE 9th International Colloquium on Signal Processing and its Applications, CSPA 2013</span><span>, 2013</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The quality of the agarwood oils plays an important role as it reflects the price of the oil in t...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The quality of the agarwood oils plays an important role as it reflects the price of the oil in the market. High quality agarwood oil is traded extensively. In order to obtain good quality agarwood oil, temperature condition during the extraction is one of the important parameter instead of type and time of extraction. An analysis of chemical compounds of agarwood oil involves of three different temperature conditions such as 40°C, 60°C and 80°C has been carried out in this study. The analytical work involves HS-SPME combined with GC-MS analysis to extract and identify the chemical compounds composition in agarwood oil. The zscore technique was introduced to identify the significant compounds that contribute to the aroma of agarwood oil. The result shows that five compounds were identified and they were aromadendrane, β-agarofuran, α-agarofuran, 10-epi-□-eudesmol and □-Eudesmol. These compounds were found to have similar pattern of plot but different in chemical composition due to the different chemical properties of the oils.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82652790"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82652790"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82652790; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=82652790]").text(description); $(".js-view-count[data-work-id=82652790]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 82652790; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='82652790']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 82652790, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=82652790]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":82652790,"title":"Analysis of chemical compounds of agarwood oil based on headspace-solid phase microextraction combined with gas chromatography mass-spectrometry","translated_title":"","metadata":{"abstract":"The quality of the agarwood oils plays an important role as it reflects the price of the oil in the market. High quality agarwood oil is traded extensively. In order to obtain good quality agarwood oil, temperature condition during the extraction is one of the important parameter instead of type and time of extraction. An analysis of chemical compounds of agarwood oil involves of three different temperature conditions such as 40°C, 60°C and 80°C has been carried out in this study. The analytical work involves HS-SPME combined with GC-MS analysis to extract and identify the chemical compounds composition in agarwood oil. The zscore technique was introduced to identify the significant compounds that contribute to the aroma of agarwood oil. The result shows that five compounds were identified and they were aromadendrane, β-agarofuran, α-agarofuran, 10-epi-□-eudesmol and □-Eudesmol. These compounds were found to have similar pattern of plot but different in chemical composition due to the different chemical properties of the oils.","publication_date":{"day":null,"month":null,"year":2013,"errors":{}},"publication_name":"Proceedings - 2013 IEEE 9th International Colloquium on Signal Processing and its Applications, CSPA 2013"},"translated_abstract":"The quality of the agarwood oils plays an important role as it reflects the price of the oil in the market. High quality agarwood oil is traded extensively. In order to obtain good quality agarwood oil, temperature condition during the extraction is one of the important parameter instead of type and time of extraction. An analysis of chemical compounds of agarwood oil involves of three different temperature conditions such as 40°C, 60°C and 80°C has been carried out in this study. The analytical work involves HS-SPME combined with GC-MS analysis to extract and identify the chemical compounds composition in agarwood oil. The zscore technique was introduced to identify the significant compounds that contribute to the aroma of agarwood oil. The result shows that five compounds were identified and they were aromadendrane, β-agarofuran, α-agarofuran, 10-epi-□-eudesmol and □-Eudesmol. These compounds were found to have similar pattern of plot but different in chemical composition due to the different chemical properties of the oils.","internal_url":"https://www.academia.edu/82652790/Analysis_of_chemical_compounds_of_agarwood_oil_based_on_headspace_solid_phase_microextraction_combined_with_gas_chromatography_mass_spectrometry","translated_internal_url":"","created_at":"2022-07-05T09:57:46.881-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":44246,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Analysis_of_chemical_compounds_of_agarwood_oil_based_on_headspace_solid_phase_microextraction_combined_with_gas_chromatography_mass_spectrometry","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":44246,"first_name":"Saiful Nizam","middle_initials":null,"last_name":"Tajuddin","page_name":"SaifulNizamTajuddin","domain_name":"ump","created_at":"2009-05-20T16:06:27.322-07:00","display_name":"Saiful Nizam Tajuddin","url":"https://ump.academia.edu/SaifulNizamTajuddin"},"attachments":[],"research_interests":[{"id":184,"name":"Sociology","url":"https://www.academia.edu/Documents/in/Sociology"},{"id":523,"name":"Chemistry","url":"https://www.academia.edu/Documents/in/Chemistry"},{"id":892,"name":"Statistics","url":"https://www.academia.edu/Documents/in/Statistics"},{"id":2141,"name":"Signal Processing","url":"https://www.academia.edu/Documents/in/Signal_Processing"},{"id":4656,"name":"Chromatography","url":"https://www.academia.edu/Documents/in/Chromatography"},{"id":37306,"name":"Quality Control","url":"https://www.academia.edu/Documents/in/Quality_Control"},{"id":60486,"name":"Chemicals","url":"https://www.academia.edu/Documents/in/Chemicals"},{"id":67648,"name":"GC-MS","url":"https://www.academia.edu/Documents/in/GC-MS"},{"id":133177,"name":"Temperature","url":"https://www.academia.edu/Documents/in/Temperature"},{"id":529560,"name":"Gas Chromatography/mass Spectrometry","url":"https://www.academia.edu/Documents/in/Gas_Chromatography_mass_Spectrometry"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="82652785"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/82652785/Neuroprotective_effect_from_stem_bark_extracts_ofKnema_laurinaagainst_H2O2_and_A%CE%B21_42_induced_cell_death_in_human_SH_SY5Y_cells"><img alt="Research paper thumbnail of Neuroprotective effect from stem bark extracts ofKnema laurinaagainst H2O2- and Aβ1–42-induced cell death in human SH-SY5Y cells" class="work-thumbnail" src="https://attachments.academia-assets.com/88289172/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/82652785/Neuroprotective_effect_from_stem_bark_extracts_ofKnema_laurinaagainst_H2O2_and_A%CE%B21_42_induced_cell_death_in_human_SH_SY5Y_cells">Neuroprotective effect from stem bark extracts ofKnema laurinaagainst H2O2- and Aβ1–42-induced cell death in human SH-SY5Y cells</a></div><div class="wp-workCard_item"><span>Natural Product Research</span><span>, 2014</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="0637ca392202b187971dd03e0874856a" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{&quot;attachment_id&quot;:88289172,&quot;asset_id&quot;:82652785,&quot;asset_type&quot;:&quot;Work&quot;,&quot;button_location&quot;:&quot;profile&quot;}" href="https://www.academia.edu/attachments/88289172/download_file?st=MTczMjcxNjgwNyw4LjIyMi4yMDguMTQ2&st=MTczMjcxNjgwNyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82652785"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82652785"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82652785; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=82652785]").text(description); $(".js-view-count[data-work-id=82652785]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 82652785; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='82652785']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 82652785, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "0637ca392202b187971dd03e0874856a" } } $('.js-work-strip[data-work-id=82652785]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":82652785,"title":"Neuroprotective effect from stem bark extracts ofKnema laurinaagainst H2O2- and Aβ1–42-induced cell death in human SH-SY5Y cells","translated_title":"","metadata":{"publisher":"Informa UK Limited","grobid_abstract":"The stem bark extracts of Knema laurina inhibited the hydrogen peroxide (H 2 O 2)-and aggregated amyloid b-peptide 1-42 length (Ab 1-42)-induced cell death in differentiated SH-SY5Y cells. Exposure of 250 mM H 2 O 2 or 20 mM Ab 1-42 to the cells for 24 h reduced 50% of cell viability. Pretreatment of cells with ethyl acetate extract (EAE) or n-butanol extract (BE) at 300 mg/mL and then exposure to H 2 O 2 protected the cells against the neurotoxic effects of H 2 O 2. Besides, methanolic extract (ME) at 1 and 10 mg/mL exerted neuroprotective effect on Ab 1-42-induced toxicity to the cells. These results showed that EAE, BE and ME exhibited neuroprotective activities against H 2 O 2-and Ab 1-42-induced cell death. Flavonoids (3-6) and b-sitosterol glucoside (8) were isolated from the EAE. Compound 1 was isolated from hexane extract, and compounds 2 and 7 were isolated from dichloromethane extract. All these observations provide the possible evidence for contribution in the neuroprotective effects.","publication_date":{"day":null,"month":null,"year":2014,"errors":{}},"publication_name":"Natural Product Research","grobid_abstract_attachment_id":88289172},"translated_abstract":null,"internal_url":"https://www.academia.edu/82652785/Neuroprotective_effect_from_stem_bark_extracts_ofKnema_laurinaagainst_H2O2_and_A%CE%B21_42_induced_cell_death_in_human_SH_SY5Y_cells","translated_internal_url":"","created_at":"2022-07-05T09:57:46.016-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":44246,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":88289172,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88289172/thumbnails/1.jpg","file_name":"fist-2015-sharina-Neuroprotective_20effect1.pdf","download_url":"https://www.academia.edu/attachments/88289172/download_file?st=MTczMjcxNjgwNyw4LjIyMi4yMDguMTQ2&st=MTczMjcxNjgwNyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Neuroprotective_effect_from_stem_bark_ex.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88289172/fist-2015-sharina-Neuroprotective_20effect1-libre.pdf?1657042886=\u0026response-content-disposition=attachment%3B+filename%3DNeuroprotective_effect_from_stem_bark_ex.pdf\u0026Expires=1732720407\u0026Signature=EWMmO31PLIRSQzdR13D1oazIFwRtAVQJhz9aK~vzl0gzgzebGNrssVpAkjf~RU2maMFyTIJwbHpaKsaj5r2eIe01EPu3Ojy5XzyFwe7lqsKKEQn4TiTy-3EeyqTKA0rICuLSMD01gM3j5gVrqjxLtLF6me0IhN6nJTtBMFGbuOAHgZqADhtJuc~IDdD38LHhOhKb4uO3up4XHlHH5Mjv84cZG~CxUtSUgeBgdXWj7gwsIcX3WvffmfZgtSNd24U7l6Z3fQZIavu9uUrXj8lP73kEvqkaKFhY-Bo8mBnjwtVoEbfTwJGyjLPKewPO2ZSoKz-d6Hv2vSWny1pZNzysEA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Neuroprotective_effect_from_stem_bark_extracts_ofKnema_laurinaagainst_H2O2_and_Aβ1_42_induced_cell_death_in_human_SH_SY5Y_cells","translated_slug":"","page_count":1,"language":"en","content_type":"Work","owner":{"id":44246,"first_name":"Saiful Nizam","middle_initials":null,"last_name":"Tajuddin","page_name":"SaifulNizamTajuddin","domain_name":"ump","created_at":"2009-05-20T16:06:27.322-07:00","display_name":"Saiful Nizam Tajuddin","url":"https://ump.academia.edu/SaifulNizamTajuddin"},"attachments":[{"id":88289172,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88289172/thumbnails/1.jpg","file_name":"fist-2015-sharina-Neuroprotective_20effect1.pdf","download_url":"https://www.academia.edu/attachments/88289172/download_file?st=MTczMjcxNjgwNyw4LjIyMi4yMDguMTQ2&st=MTczMjcxNjgwNyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Neuroprotective_effect_from_stem_bark_ex.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88289172/fist-2015-sharina-Neuroprotective_20effect1-libre.pdf?1657042886=\u0026response-content-disposition=attachment%3B+filename%3DNeuroprotective_effect_from_stem_bark_ex.pdf\u0026Expires=1732720407\u0026Signature=EWMmO31PLIRSQzdR13D1oazIFwRtAVQJhz9aK~vzl0gzgzebGNrssVpAkjf~RU2maMFyTIJwbHpaKsaj5r2eIe01EPu3Ojy5XzyFwe7lqsKKEQn4TiTy-3EeyqTKA0rICuLSMD01gM3j5gVrqjxLtLF6me0IhN6nJTtBMFGbuOAHgZqADhtJuc~IDdD38LHhOhKb4uO3up4XHlHH5Mjv84cZG~CxUtSUgeBgdXWj7gwsIcX3WvffmfZgtSNd24U7l6Z3fQZIavu9uUrXj8lP73kEvqkaKFhY-Bo8mBnjwtVoEbfTwJGyjLPKewPO2ZSoKz-d6Hv2vSWny1pZNzysEA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":523,"name":"Chemistry","url":"https://www.academia.edu/Documents/in/Chemistry"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":28235,"name":"Multidisciplinary","url":"https://www.academia.edu/Documents/in/Multidisciplinary"},{"id":37851,"name":"Neuroprotection","url":"https://www.academia.edu/Documents/in/Neuroprotection"},{"id":107795,"name":"Natural Product","url":"https://www.academia.edu/Documents/in/Natural_Product"},{"id":112576,"name":"Cell Death","url":"https://www.academia.edu/Documents/in/Cell_Death"},{"id":274826,"name":"Hydrogen Peroxide","url":"https://www.academia.edu/Documents/in/Hydrogen_Peroxide"},{"id":354056,"name":"Plant extracts","url":"https://www.academia.edu/Documents/in/Plant_extracts"},{"id":890490,"name":"Myristicaceae","url":"https://www.academia.edu/Documents/in/Myristicaceae"},{"id":1953419,"name":"Neuroprotective Agents","url":"https://www.academia.edu/Documents/in/Neuroprotective_Agents"}],"urls":[{"id":21944575,"url":"http://www.tandfonline.com/doi/pdf/10.1080/14786419.2014.985676"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="82652778"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/82652778/Investigation_of_common_compounds_in_high_grade_and_low_grade_Aquilaria_Malaccensis_using_correlation_analysis"><img alt="Research paper thumbnail of Investigation of common compounds in high grade and low grade Aquilaria Malaccensis using correlation analysis" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/82652778/Investigation_of_common_compounds_in_high_grade_and_low_grade_Aquilaria_Malaccensis_using_correlation_analysis">Investigation of common compounds in high grade and low grade Aquilaria Malaccensis using correlation analysis</a></div><div class="wp-workCard_item"><span>2012 IEEE Control and System Graduate Research Colloquium</span><span>, 2012</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT This paper presents a correlation analysis between high grade and low grade of Aquilaria...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">ABSTRACT This paper presents a correlation analysis between high grade and low grade of Aquilaria Malaccensis (AM). Seven selected samples of AM were identified using Gas Chromatograph - Mass Spectra (GC-MS) and several statistical techniques have been employed. The samples were separated into two grades such as high grade and low grade. The analysis involves of normality test such as Shapiro Wilk, standard deviation, skewness, kurtosis and correlation analysis. All the analysis was done using SPSS ver. 15.0. The result shows that there are no significant correlation between high grade and low grade and it is a high correlation among compounds in similar grade. Three common compounds and highly correlated found in both grade and they are hexadecanoic acid, valencene and α-guaiene.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82652778"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82652778"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82652778; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=82652778]").text(description); $(".js-view-count[data-work-id=82652778]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 82652778; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='82652778']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 82652778, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=82652778]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":82652778,"title":"Investigation of common compounds in high grade and low grade Aquilaria Malaccensis using correlation analysis","translated_title":"","metadata":{"abstract":"ABSTRACT This paper presents a correlation analysis between high grade and low grade of Aquilaria Malaccensis (AM). Seven selected samples of AM were identified using Gas Chromatograph - Mass Spectra (GC-MS) and several statistical techniques have been employed. The samples were separated into two grades such as high grade and low grade. The analysis involves of normality test such as Shapiro Wilk, standard deviation, skewness, kurtosis and correlation analysis. All the analysis was done using SPSS ver. 15.0. The result shows that there are no significant correlation between high grade and low grade and it is a high correlation among compounds in similar grade. Three common compounds and highly correlated found in both grade and they are hexadecanoic acid, valencene and α-guaiene.","publication_date":{"day":null,"month":null,"year":2012,"errors":{}},"publication_name":"2012 IEEE Control and System Graduate Research Colloquium"},"translated_abstract":"ABSTRACT This paper presents a correlation analysis between high grade and low grade of Aquilaria Malaccensis (AM). Seven selected samples of AM were identified using Gas Chromatograph - Mass Spectra (GC-MS) and several statistical techniques have been employed. The samples were separated into two grades such as high grade and low grade. The analysis involves of normality test such as Shapiro Wilk, standard deviation, skewness, kurtosis and correlation analysis. All the analysis was done using SPSS ver. 15.0. The result shows that there are no significant correlation between high grade and low grade and it is a high correlation among compounds in similar grade. Three common compounds and highly correlated found in both grade and they are hexadecanoic acid, valencene and α-guaiene.","internal_url":"https://www.academia.edu/82652778/Investigation_of_common_compounds_in_high_grade_and_low_grade_Aquilaria_Malaccensis_using_correlation_analysis","translated_internal_url":"","created_at":"2022-07-05T09:57:45.275-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":44246,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Investigation_of_common_compounds_in_high_grade_and_low_grade_Aquilaria_Malaccensis_using_correlation_analysis","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":44246,"first_name":"Saiful Nizam","middle_initials":null,"last_name":"Tajuddin","page_name":"SaifulNizamTajuddin","domain_name":"ump","created_at":"2009-05-20T16:06:27.322-07:00","display_name":"Saiful Nizam Tajuddin","url":"https://ump.academia.edu/SaifulNizamTajuddin"},"attachments":[],"research_interests":[{"id":72,"name":"Chemical Engineering","url":"https://www.academia.edu/Documents/in/Chemical_Engineering"},{"id":300,"name":"Mathematics","url":"https://www.academia.edu/Documents/in/Mathematics"},{"id":4205,"name":"Data Analysis","url":"https://www.academia.edu/Documents/in/Data_Analysis"},{"id":4656,"name":"Chromatography","url":"https://www.academia.edu/Documents/in/Chromatography"},{"id":5187,"name":"Statistical Analysis","url":"https://www.academia.edu/Documents/in/Statistical_Analysis"},{"id":30596,"name":"Control Systems","url":"https://www.academia.edu/Documents/in/Control_Systems"},{"id":37306,"name":"Quality Control","url":"https://www.academia.edu/Documents/in/Quality_Control"},{"id":69841,"name":"Standard Deviation","url":"https://www.academia.edu/Documents/in/Standard_Deviation"},{"id":81504,"name":"Correlation","url":"https://www.academia.edu/Documents/in/Correlation"},{"id":191286,"name":"Kurtosis","url":"https://www.academia.edu/Documents/in/Kurtosis"},{"id":480922,"name":"Skewness","url":"https://www.academia.edu/Documents/in/Skewness"},{"id":883068,"name":"Agarwood","url":"https://www.academia.edu/Documents/in/Agarwood"},{"id":1171398,"name":"Normality Test","url":"https://www.academia.edu/Documents/in/Normality_Test"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="82652775"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/82652775/Classification_of_the_quality_of_agarwood_oils_from_Malaysia_using_Z_score_technique"><img alt="Research paper thumbnail of Classification of the quality of agarwood oils from Malaysia using Z-score technique" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/82652775/Classification_of_the_quality_of_agarwood_oils_from_Malaysia_using_Z_score_technique">Classification of the quality of agarwood oils from Malaysia using Z-score technique</a></div><div class="wp-workCard_item"><span>2013 IEEE 3rd International Conference on System Engineering and Technology</span><span>, 2013</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT This paper presents classification of the quality of agarwood oils from Malaysia using Z...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">ABSTRACT This paper presents classification of the quality of agarwood oils from Malaysia using Z-score technique. Six agarwood oil samples named as MU, MUS, MN, MNS, R5 and HD are analyzed by GC-MS to examine their chemical profiles. The extraction showed that at least forty three volatile compounds are found. The Z-score technique is proposed to identify the significant chemical compounds of the agarwood oils. It is found that six chemical compounds are recognized. They are β-agarofuran, α-agarofuran, 10-epi-□-eudesmol, α-eudesmol, dihydrocollumellarin and □-eudesmol. These volatile compounds have different abundances pattern responsible to the different qualities of agarwood oil such as high and low. The Z-score applied in this study give a promising result in discriminating agarwood oil to high and low quality. It is important and useful in solving the grading agarwood oil system which is currently done manually.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82652775"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82652775"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82652775; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=82652775]").text(description); $(".js-view-count[data-work-id=82652775]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 82652775; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='82652775']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 82652775, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=82652775]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":82652775,"title":"Classification of the quality of agarwood oils from Malaysia using Z-score technique","translated_title":"","metadata":{"abstract":"ABSTRACT This paper presents classification of the quality of agarwood oils from Malaysia using Z-score technique. Six agarwood oil samples named as MU, MUS, MN, MNS, R5 and HD are analyzed by GC-MS to examine their chemical profiles. The extraction showed that at least forty three volatile compounds are found. The Z-score technique is proposed to identify the significant chemical compounds of the agarwood oils. It is found that six chemical compounds are recognized. They are β-agarofuran, α-agarofuran, 10-epi-□-eudesmol, α-eudesmol, dihydrocollumellarin and □-eudesmol. These volatile compounds have different abundances pattern responsible to the different qualities of agarwood oil such as high and low. The Z-score applied in this study give a promising result in discriminating agarwood oil to high and low quality. It is important and useful in solving the grading agarwood oil system which is currently done manually.","publisher":"IEEE","publication_date":{"day":null,"month":null,"year":2013,"errors":{}},"publication_name":"2013 IEEE 3rd International Conference on System Engineering and Technology"},"translated_abstract":"ABSTRACT This paper presents classification of the quality of agarwood oils from Malaysia using Z-score technique. Six agarwood oil samples named as MU, MUS, MN, MNS, R5 and HD are analyzed by GC-MS to examine their chemical profiles. The extraction showed that at least forty three volatile compounds are found. The Z-score technique is proposed to identify the significant chemical compounds of the agarwood oils. It is found that six chemical compounds are recognized. They are β-agarofuran, α-agarofuran, 10-epi-□-eudesmol, α-eudesmol, dihydrocollumellarin and □-eudesmol. These volatile compounds have different abundances pattern responsible to the different qualities of agarwood oil such as high and low. The Z-score applied in this study give a promising result in discriminating agarwood oil to high and low quality. It is important and useful in solving the grading agarwood oil system which is currently done manually.","internal_url":"https://www.academia.edu/82652775/Classification_of_the_quality_of_agarwood_oils_from_Malaysia_using_Z_score_technique","translated_internal_url":"","created_at":"2022-07-05T09:57:44.176-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":44246,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Classification_of_the_quality_of_agarwood_oils_from_Malaysia_using_Z_score_technique","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":44246,"first_name":"Saiful Nizam","middle_initials":null,"last_name":"Tajuddin","page_name":"SaifulNizamTajuddin","domain_name":"ump","created_at":"2009-05-20T16:06:27.322-07:00","display_name":"Saiful Nizam Tajuddin","url":"https://ump.academia.edu/SaifulNizamTajuddin"},"attachments":[],"research_interests":[{"id":72,"name":"Chemical Engineering","url":"https://www.academia.edu/Documents/in/Chemical_Engineering"},{"id":300,"name":"Mathematics","url":"https://www.academia.edu/Documents/in/Mathematics"},{"id":4656,"name":"Chromatography","url":"https://www.academia.edu/Documents/in/Chromatography"},{"id":5187,"name":"Statistical Analysis","url":"https://www.academia.edu/Documents/in/Statistical_Analysis"},{"id":37306,"name":"Quality Control","url":"https://www.academia.edu/Documents/in/Quality_Control"},{"id":883068,"name":"Agarwood","url":"https://www.academia.edu/Documents/in/Agarwood"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="82652768"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/82652768/The_grading_of_agarwood_oil_quality_using_k_Nearest_Neighbor_k_NN_"><img alt="Research paper thumbnail of The grading of agarwood oil quality using k-Nearest Neighbor (k-NN)" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/82652768/The_grading_of_agarwood_oil_quality_using_k_Nearest_Neighbor_k_NN_">The grading of agarwood oil quality using k-Nearest Neighbor (k-NN)</a></div><div class="wp-workCard_item"><span>2013 IEEE Conference on Systems, Process &amp; Control (ICSPC)</span><span>, 2013</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT This paper presents the application of k-Nearest Neighbor (k-NN) in grading the quality ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">ABSTRACT This paper presents the application of k-Nearest Neighbor (k-NN) in grading the quality agarwood oil. Six agarwood oil samples obtained at Forest Research Institute Malaysia (FRIM) were extracted and their chemical compounds were examined by GC-MS. The work is followed by the grading system using the proposed k-NN. The study shows that there are 10 significant chemical compounds of agarwood oils. They are β-agarofuran, α-agarofuran, 10-epi-□-eudesmol, □-eudesmol, longifolol, oxo-agarospirol, hexadecanol and eudesmol. These compounds are used as inputs to the k-NN algorithm for grading them. The performance of the k-NN is measured and the highest accuracy obtained by k-NN which is above 83.3% shows that k-NN is a reliable classifier in grading the agarwood oil quality.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82652768"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82652768"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82652768; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=82652768]").text(description); $(".js-view-count[data-work-id=82652768]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 82652768; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='82652768']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 82652768, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=82652768]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":82652768,"title":"The grading of agarwood oil quality using k-Nearest Neighbor (k-NN)","translated_title":"","metadata":{"abstract":"ABSTRACT This paper presents the application of k-Nearest Neighbor (k-NN) in grading the quality agarwood oil. Six agarwood oil samples obtained at Forest Research Institute Malaysia (FRIM) were extracted and their chemical compounds were examined by GC-MS. The work is followed by the grading system using the proposed k-NN. The study shows that there are 10 significant chemical compounds of agarwood oils. They are β-agarofuran, α-agarofuran, 10-epi-□-eudesmol, □-eudesmol, longifolol, oxo-agarospirol, hexadecanol and eudesmol. These compounds are used as inputs to the k-NN algorithm for grading them. The performance of the k-NN is measured and the highest accuracy obtained by k-NN which is above 83.3% shows that k-NN is a reliable classifier in grading the agarwood oil quality.","publisher":"IEEE","publication_date":{"day":null,"month":null,"year":2013,"errors":{}},"publication_name":"2013 IEEE Conference on Systems, Process \u0026 Control (ICSPC)"},"translated_abstract":"ABSTRACT This paper presents the application of k-Nearest Neighbor (k-NN) in grading the quality agarwood oil. Six agarwood oil samples obtained at Forest Research Institute Malaysia (FRIM) were extracted and their chemical compounds were examined by GC-MS. The work is followed by the grading system using the proposed k-NN. The study shows that there are 10 significant chemical compounds of agarwood oils. They are β-agarofuran, α-agarofuran, 10-epi-□-eudesmol, □-eudesmol, longifolol, oxo-agarospirol, hexadecanol and eudesmol. These compounds are used as inputs to the k-NN algorithm for grading them. The performance of the k-NN is measured and the highest accuracy obtained by k-NN which is above 83.3% shows that k-NN is a reliable classifier in grading the agarwood oil quality.","internal_url":"https://www.academia.edu/82652768/The_grading_of_agarwood_oil_quality_using_k_Nearest_Neighbor_k_NN_","translated_internal_url":"","created_at":"2022-07-05T09:57:42.656-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":44246,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"The_grading_of_agarwood_oil_quality_using_k_Nearest_Neighbor_k_NN_","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":44246,"first_name":"Saiful Nizam","middle_initials":null,"last_name":"Tajuddin","page_name":"SaifulNizamTajuddin","domain_name":"ump","created_at":"2009-05-20T16:06:27.322-07:00","display_name":"Saiful Nizam Tajuddin","url":"https://ump.academia.edu/SaifulNizamTajuddin"},"attachments":[],"research_interests":[{"id":48,"name":"Engineering","url":"https://www.academia.edu/Documents/in/Engineering"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> </div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/google_contacts-0dfb882d836b94dbcb4a2d123d6933fc9533eda5be911641f20b4eb428429600.js"], function() { // from javascript_helper.rb $('.js-google-connect-button').click(function(e) { e.preventDefault(); GoogleContacts.authorize_and_show_contacts(); Aedu.Dismissibles.recordClickthrough("WowProfileImportContactsPrompt"); }); $('.js-update-biography-button').click(function(e) { e.preventDefault(); Aedu.Dismissibles.recordClickthrough("UpdateUserBiographyPrompt"); $.ajax({ url: $r.api_v0_profiles_update_about_path({ subdomain_param: 'api', about: "", }), type: 'PUT', success: function(response) { location.reload(); } }); }); $('.js-work-creator-button').click(function (e) { e.preventDefault(); window.location = $r.upload_funnel_document_path({ source: encodeURIComponent(""), }); }); $('.js-video-upload-button').click(function (e) { e.preventDefault(); window.location = $r.upload_funnel_video_path({ source: encodeURIComponent(""), }); }); $('.js-do-this-later-button').click(function() { $(this).closest('.js-profile-nag-panel').remove(); Aedu.Dismissibles.recordDismissal("WowProfileImportContactsPrompt"); }); $('.js-update-biography-do-this-later-button').click(function(){ $(this).closest('.js-profile-nag-panel').remove(); Aedu.Dismissibles.recordDismissal("UpdateUserBiographyPrompt"); }); $('.wow-profile-mentions-upsell--close').click(function(){ $('.wow-profile-mentions-upsell--panel').hide(); Aedu.Dismissibles.recordDismissal("WowProfileMentionsUpsell"); }); $('.wow-profile-mentions-upsell--button').click(function(){ Aedu.Dismissibles.recordClickthrough("WowProfileMentionsUpsell"); }); new WowProfile.SocialRedesignUserWorks({ initialWorksOffset: 20, allWorksOffset: 20, maxSections: 1 }) }); </script> </div></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile_edit-5ea339ee107c863779f560dd7275595239fed73f1a13d279d2b599a28c0ecd33.js","https://a.academia-assets.com/assets/add_coauthor-22174b608f9cb871d03443cafa7feac496fb50d7df2d66a53f5ee3c04ba67f53.js","https://a.academia-assets.com/assets/tab-dcac0130902f0cc2d8cb403714dd47454f11fc6fb0e99ae6a0827b06613abc20.js","https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js"], function() { // from javascript_helper.rb window.ae = window.ae || {}; window.ae.WowProfile = window.ae.WowProfile || {}; if(Aedu.User.current && Aedu.User.current.id === $viewedUser.id) { window.ae.WowProfile.current_user_edit = {}; new WowProfileEdit.EditUploadView({ el: '.js-edit-upload-button-wrapper', model: window.$current_user, }); new AddCoauthor.AddCoauthorsController(); } var userInfoView = new WowProfile.SocialRedesignUserInfo({ recaptcha_key: "6LdxlRMTAAAAADnu_zyLhLg0YF9uACwz78shpjJB" }); WowProfile.router = new WowProfile.Router({ userInfoView: userInfoView }); Backbone.history.start({ pushState: true, root: "/" + $viewedUser.page_name }); new WowProfile.UserWorksNav() }); </script> </div> <div class="bootstrap login"><div class="modal fade login-modal" id="login-modal"><div class="login-modal-dialog modal-dialog"><div class="modal-content"><div class="modal-header"><button class="close close" data-dismiss="modal" type="button"><span aria-hidden="true">&times;</span><span class="sr-only">Close</span></button><h4 class="modal-title text-center"><strong>Log In</strong></h4></div><div class="modal-body"><div class="row"><div class="col-xs-10 col-xs-offset-1"><button class="btn btn-fb btn-lg btn-block btn-v-center-content" id="login-facebook-oauth-button"><svg style="float: left; width: 19px; line-height: 1em; margin-right: .3em;" aria-hidden="true" focusable="false" data-prefix="fab" data-icon="facebook-square" class="svg-inline--fa fa-facebook-square fa-w-14" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><path fill="currentColor" d="M400 32H48A48 48 0 0 0 0 80v352a48 48 0 0 0 48 48h137.25V327.69h-63V256h63v-54.64c0-62.15 37-96.48 93.67-96.48 27.14 0 55.52 4.84 55.52 4.84v61h-31.27c-30.81 0-40.42 19.12-40.42 38.73V256h68.78l-11 71.69h-57.78V480H400a48 48 0 0 0 48-48V80a48 48 0 0 0-48-48z"></path></svg><small><strong>Log in</strong> with <strong>Facebook</strong></small></button><br /><button class="btn btn-google btn-lg btn-block btn-v-center-content" id="login-google-oauth-button"><svg style="float: left; width: 22px; line-height: 1em; margin-right: .3em;" aria-hidden="true" focusable="false" data-prefix="fab" data-icon="google-plus" class="svg-inline--fa fa-google-plus fa-w-16" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M256,8C119.1,8,8,119.1,8,256S119.1,504,256,504,504,392.9,504,256,392.9,8,256,8ZM185.3,380a124,124,0,0,1,0-248c31.3,0,60.1,11,83,32.3l-33.6,32.6c-13.2-12.9-31.3-19.1-49.4-19.1-42.9,0-77.2,35.5-77.2,78.1S142.3,334,185.3,334c32.6,0,64.9-19.1,70.1-53.3H185.3V238.1H302.2a109.2,109.2,0,0,1,1.9,20.7c0,70.8-47.5,121.2-118.8,121.2ZM415.5,273.8v35.5H380V273.8H344.5V238.3H380V202.8h35.5v35.5h35.2v35.5Z"></path></svg><small><strong>Log in</strong> with <strong>Google</strong></small></button><br /><style type="text/css">.sign-in-with-apple-button { width: 100%; height: 52px; border-radius: 3px; border: 1px solid black; cursor: pointer; }</style><script src="https://appleid.cdn-apple.com/appleauth/static/jsapi/appleid/1/en_US/appleid.auth.js" type="text/javascript"></script><div class="sign-in-with-apple-button" data-border="false" data-color="white" id="appleid-signin"><span &nbsp;&nbsp;="Sign Up with Apple" class="u-fs11"></span></div><script>AppleID.auth.init({ clientId: 'edu.academia.applesignon', scope: 'name email', redirectURI: 'https://www.academia.edu/sessions', state: "87e33689790c8dfc9f9a7c34579be8b58d11c1476d6a5636171b72c64d490b94", });</script><script>// Hacky way of checking if on fast loswp if (window.loswp == null) { (function() { const Google = window?.Aedu?.Auth?.OauthButton?.Login?.Google; const Facebook = window?.Aedu?.Auth?.OauthButton?.Login?.Facebook; if (Google) { new Google({ el: '#login-google-oauth-button', rememberMeCheckboxId: 'remember_me', track: null }); } if (Facebook) { new Facebook({ el: '#login-facebook-oauth-button', rememberMeCheckboxId: 'remember_me', track: null }); } })(); }</script></div></div></div><div class="modal-body"><div class="row"><div class="col-xs-10 col-xs-offset-1"><div class="hr-heading login-hr-heading"><span class="hr-heading-text">or</span></div></div></div></div><div class="modal-body"><div class="row"><div class="col-xs-10 col-xs-offset-1"><form class="js-login-form" action="https://www.academia.edu/sessions" accept-charset="UTF-8" method="post"><input name="utf8" type="hidden" value="&#x2713;" autocomplete="off" /><input type="hidden" name="authenticity_token" value="BbxGUKma63BUCVqaA2g9WXK7ObAd6+TrOCwwpIh6Ogm3DQSdei5Pb+lgcgRRYuKSRx1LyGDi2TaLoQUTjCX7Mw==" autocomplete="off" /><div class="form-group"><label class="control-label" for="login-modal-email-input" style="font-size: 14px;">Email</label><input class="form-control" id="login-modal-email-input" name="login" type="email" /></div><div class="form-group"><label class="control-label" for="login-modal-password-input" style="font-size: 14px;">Password</label><input class="form-control" id="login-modal-password-input" name="password" type="password" /></div><input type="hidden" name="post_login_redirect_url" id="post_login_redirect_url" value="https://ump.academia.edu/SaifulNizamTajuddin" autocomplete="off" /><div class="checkbox"><label><input type="checkbox" name="remember_me" id="remember_me" value="1" checked="checked" /><small style="font-size: 12px; margin-top: 2px; display: inline-block;">Remember me on this computer</small></label></div><br><input type="submit" name="commit" value="Log In" class="btn btn-primary btn-block btn-lg js-login-submit" data-disable-with="Log In" /></br></form><script>typeof window?.Aedu?.recaptchaManagedForm === 'function' && window.Aedu.recaptchaManagedForm( document.querySelector('.js-login-form'), document.querySelector('.js-login-submit') );</script><small style="font-size: 12px;"><br />or <a data-target="#login-modal-reset-password-container" data-toggle="collapse" href="javascript:void(0)">reset password</a></small><div class="collapse" id="login-modal-reset-password-container"><br /><div class="well margin-0x"><form class="js-password-reset-form" action="https://www.academia.edu/reset_password" accept-charset="UTF-8" method="post"><input name="utf8" type="hidden" value="&#x2713;" autocomplete="off" /><input type="hidden" name="authenticity_token" value="3pCyKfmM/1xuN+icAnsnWDRMQ47DA3AKg3gdFAke9kZsIfDkKjhbQ9NewAJQcfiTAeox9r4KTdcw9SijDUE3fA==" autocomplete="off" /><p>Enter the email address you signed up with and we&#39;ll email you a reset link.</p><div class="form-group"><input class="form-control" name="email" type="email" /></div><script src="https://recaptcha.net/recaptcha/api.js" async defer></script> <script> var invisibleRecaptchaSubmit = function () { var closestForm = function (ele) { var curEle = ele.parentNode; while (curEle.nodeName !== 'FORM' && curEle.nodeName !== 'BODY'){ curEle = curEle.parentNode; } return curEle.nodeName === 'FORM' ? curEle : null }; var eles = document.getElementsByClassName('g-recaptcha'); if (eles.length > 0) { var form = closestForm(eles[0]); if (form) { form.submit(); } } }; </script> <input type="submit" data-sitekey="6Lf3KHUUAAAAACggoMpmGJdQDtiyrjVlvGJ6BbAj" data-callback="invisibleRecaptchaSubmit" class="g-recaptcha btn btn-primary btn-block" value="Email me a link" value=""/> </form></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/collapse-45805421cf446ca5adf7aaa1935b08a3a8d1d9a6cc5d91a62a2a3a00b20b3e6a.js"], function() { // from javascript_helper.rb $("#login-modal-reset-password-container").on("shown.bs.collapse", function() { $(this).find("input[type=email]").focus(); }); }); </script> </div></div></div><div class="modal-footer"><div class="text-center"><small style="font-size: 12px;">Need an account?&nbsp;<a rel="nofollow" href="https://www.academia.edu/signup">Click here to sign up</a></small></div></div></div></div></div></div><script>// If we are on subdomain or non-bootstrapped page, redirect to login page instead of showing modal (function(){ if (typeof $ === 'undefined') return; var host = window.location.hostname; if ((host === $domain || host === "www."+$domain) && (typeof $().modal === 'function')) { $("#nav_log_in").click(function(e) { // Don't follow the link and open the modal e.preventDefault(); $("#login-modal").on('shown.bs.modal', function() { $(this).find("#login-modal-email-input").focus() }).modal('show'); }); } })()</script> <div class="bootstrap" id="footer"><div class="footer-content clearfix text-center padding-top-7x" style="width:100%;"><ul class="footer-links-secondary footer-links-wide list-inline margin-bottom-1x"><li><a href="https://www.academia.edu/about">About</a></li><li><a href="https://www.academia.edu/press">Press</a></li><li><a rel="nofollow" href="https://medium.com/academia">Blog</a></li><li><a href="https://www.academia.edu/documents">Papers</a></li><li><a href="https://www.academia.edu/topics">Topics</a></li><li><a href="https://www.academia.edu/journals">Academia.edu Journals</a></li><li><a rel="nofollow" href="https://www.academia.edu/hiring"><svg style="width: 13px; height: 13px;" aria-hidden="true" focusable="false" data-prefix="fas" data-icon="briefcase" class="svg-inline--fa fa-briefcase fa-w-16" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M320 336c0 8.84-7.16 16-16 16h-96c-8.84 0-16-7.16-16-16v-48H0v144c0 25.6 22.4 48 48 48h416c25.6 0 48-22.4 48-48V288H320v48zm144-208h-80V80c0-25.6-22.4-48-48-48H176c-25.6 0-48 22.4-48 48v48H48c-25.6 0-48 22.4-48 48v80h512v-80c0-25.6-22.4-48-48-48zm-144 0H192V96h128v32z"></path></svg>&nbsp;<strong>We're Hiring!</strong></a></li><li><a rel="nofollow" href="https://support.academia.edu/"><svg style="width: 12px; height: 12px;" aria-hidden="true" focusable="false" data-prefix="fas" data-icon="question-circle" class="svg-inline--fa fa-question-circle fa-w-16" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M504 256c0 136.997-111.043 248-248 248S8 392.997 8 256C8 119.083 119.043 8 256 8s248 111.083 248 248zM262.655 90c-54.497 0-89.255 22.957-116.549 63.758-3.536 5.286-2.353 12.415 2.715 16.258l34.699 26.31c5.205 3.947 12.621 3.008 16.665-2.122 17.864-22.658 30.113-35.797 57.303-35.797 20.429 0 45.698 13.148 45.698 32.958 0 14.976-12.363 22.667-32.534 33.976C247.128 238.528 216 254.941 216 296v4c0 6.627 5.373 12 12 12h56c6.627 0 12-5.373 12-12v-1.333c0-28.462 83.186-29.647 83.186-106.667 0-58.002-60.165-102-116.531-102zM256 338c-25.365 0-46 20.635-46 46 0 25.364 20.635 46 46 46s46-20.636 46-46c0-25.365-20.635-46-46-46z"></path></svg>&nbsp;<strong>Help Center</strong></a></li></ul><ul class="footer-links-tertiary list-inline margin-bottom-1x"><li class="small">Find new research papers in:</li><li class="small"><a href="https://www.academia.edu/Documents/in/Physics">Physics</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Chemistry">Chemistry</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Biology">Biology</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Health_Sciences">Health Sciences</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Ecology">Ecology</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Earth_Sciences">Earth Sciences</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Cognitive_Science">Cognitive Science</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Mathematics">Mathematics</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a></li></ul></div></div><div class="DesignSystem" id="credit" style="width:100%;"><ul class="u-pl0x footer-links-legal list-inline"><li><a rel="nofollow" href="https://www.academia.edu/terms">Terms</a></li><li><a rel="nofollow" href="https://www.academia.edu/privacy">Privacy</a></li><li><a rel="nofollow" href="https://www.academia.edu/copyright">Copyright</a></li><li>Academia &copy;2024</li></ul></div><script> //<![CDATA[ window.detect_gmtoffset = true; window.Academia && window.Academia.set_gmtoffset && Academia.set_gmtoffset('/gmtoffset'); //]]> </script> <div id='overlay_background'></div> <div id='bootstrap-modal-container' class='bootstrap'></div> <div id='ds-modal-container' class='bootstrap DesignSystem'></div> <div id='full-screen-modal'></div> </div> </body> </html>

Pages: 1 2 3 4 5 6 7 8 9 10