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<!doctype html> <html lang="zh"> <head> <title>Understanding Sample Preparation Workflow: Semi-Automated Pr | 1099778</title> <meta name="keywords" content="Ramisa Fariha, Collin Hill, Mohannad Jabrah, Adam Spooner, Anubhav Tripathi* , "/> <meta name="description" content="High-performance liquid chromatography-tandem mass spectrometry has been pivotal to recent clinical advancements in the detection and monitoring of the pro..1099778"/> <meta name="citation_publisher" content="朗顿出版公司" /> <meta name="citation_journal_title" content="男性学-开放获取"> <meta name="citation_title" content="Understanding Sample Preparation Workflow: Semi-Automated Preparation of Serum Testosterone for Detection Using LC-MS/MS "> <meta name="citation_author" content="Ramisa Fariha" /> <meta name="citation_author" content="Collin Hill" /> <meta name="citation_author" content="Mohannad Jabrah" /> <meta name="citation_author" content="Adam Spooner" /> <meta name="citation_author" content="Anubhav Tripathi" /> <meta name="citation_year" content=""> <meta name="citation_volume" content="13"> <meta name="citation_issue" content="5"> <meta name="citation_abstract" content="High-performance liquid chromatography-tandem mass spectrometry has been pivotal to recent clinical advancements in the detection and monitoring of the progression of different metabolic disorders. Such systems have been used to routinely monitor serum testosterone levels in patients, to both mitigate side effects of different medications, as well as diagnose androgen-associated disorders. The present study develops and validates an LC-MS/MS-based assay for the detection of total serum testosterone from only (100 μL) of sample volume. To increase the high throughput capability of the developed diagnostic kit for clinical use on patient samples, the proposed method was streamlined via semi-automation on a JANUS® G3 Workstation liquid handler. The proposed diagnostic kit showcased high detection precision (CV<5%) as well as sample accuracy (93%-108%), within a clinically relevant range of testosterone serum concentrations (5-1500 ng/dl). Moreover, the assay showcased LOD of 5 ng/dl, which is significantly comparable to commercially established diagnostic tools. The developed method also exhibited high linearity over the specified testosterone serum range, with an obtained linearity of R2>0.99 using both manual as well as automated sample preparation. Overall, the work shown presents an optimized, automatable LC-MS/MSbased testosterone diagnostic assay for the routine evaluation of patient testosterone levels in serum for clinical and research use. 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</nav> </div> </div>  </aside> <div class="col-12 col-sm-9"> <h2 class="heading-1">抽象的</h2> <h3 class="">Understanding Sample Preparation Workflow: Semi-Automated Preparation of Serum Testosterone for Detection Using LC-MS/MS </h3> <p> <i class="fas fa-user"></i> Ramisa Fariha, Collin Hill, Mohannad Jabrah, Adam Spooner, Anubhav Tripathi* </p> <p>High-performance liquid chromatography-tandem mass spectrometry has been pivotal to recent clinical advancements in the detection and monitoring of the progression of different metabolic disorders. Such systems have been used to routinely monitor serum testosterone levels in patients, to both mitigate side effects of different medications, as well as diagnose androgen-associated disorders. The present study develops and validates an LC-MS/MS-based assay for the detection of total serum testosterone from only (100 μL) of sample volume. To increase the high throughput capability of the developed diagnostic kit for clinical use on patient samples, the proposed method was streamlined via semi-automation on a JANUS<sup>® </sup>G3 Workstation liquid handler. The proposed diagnostic kit showcased high detection precision (CV<5%) as well as sample accuracy (93%-108%), within a clinically relevant range of testosterone serum concentrations (5-1500 ng/dl). Moreover, the assay showcased LOD of 5 ng/dl, which is significantly comparable to commercially established diagnostic tools. The developed method also exhibited high linearity over the specified testosterone serum range, with an obtained linearity of R2>0.99 using both manual as well as automated sample preparation. Overall, the work shown presents an optimized, automatable LC-MS/MSbased testosterone diagnostic assay for the routine evaluation of patient testosterone levels in serum for clinical and research use.</p> <div class="alert alert-info text-left"><b>免责声明:</b> 此摘要通过人工智能工具翻译，尚未经过审核或验证.</div> <div class="nav social-icons"> <a class="nav-link w-auto">分享此文章</a> <a title="点击这里" target="_blank" href="https://www.facebook.com/sharer.php?u=https://chinese.longdom.org/abstract/understanding-sample-preparation-workflow-semiautomated-preparation-of-serum-testosterone-for-detection-using-lcmsms-1099778.html" rel="noopener"><i class="fab fa-facebook-f"></i></a> <a class="nav-link" title="点击这里" target="_blank" href="https://twitter.com/share?url=https://chinese.longdom.org/abstract/understanding-sample-preparation-workflow-semiautomated-preparation-of-serum-testosterone-for-detection-using-lcmsms-1099778.html" rel="noopener"><i class="fab fa-twitter"></i></a> <a class="nav-link" title="点击这里" target="_blank" href="https://www.linkedin.com/shareArticle?mini=true&url=https://chinese.longdom.org/abstract/understanding-sample-preparation-workflow-semiautomated-preparation-of-serum-testosterone-for-detection-using-lcmsms-1099778.html" rel="noopener"><i class="fab fa-linkedin-in"></i></a> <a class="nav-link" title="点击这里" target="_blank" href="https://plus.google.com/share?url=https://chinese.longdom.org/abstract/understanding-sample-preparation-workflow-semiautomated-preparation-of-serum-testosterone-for-detection-using-lcmsms-1099778.html" rel="noopener"><i class="fab fa-google-plus-g"></i></a> </div> </div> </div> </div> </section> <footer class="bg-blue-grey-900 py-3"> <div class="container"> <div class="row"> <div class="col-12 col-sm-4"> <h4 class="white font-size-4 fweight-400 border-bottom-1 pb-2">内容链接</h4> <ul class="list-unstyled footer-links font-size-3"> <li><a class="" href="https://chinese.longdom.org/privacy-policy.html" title="点击这里">隐私政策</a></li> <li><a class="" href="https://chinese.longdom.org/terms-conditions.html" title="点击这里">条款和条件</a></li> <li><a class="" href="https://chinese.longdom.org/authors-reviewers-editors.html" title="点击这里">作者、审稿人和编辑</a></li> </ul> </div> <div class="col-12 col-sm-4"> <h4 class="white font-size-4 fweight-400 border-bottom-1 pb-2">联系朗东</h4> <p><span>龙顿集团 SA</span><br /><span>罗杰·范登德里斯大街,</span><br /><span>18, 1150 布鲁塞尔，比利时</span><br /><span>电话: +442038085340</span><br /><span>电子邮件:</span><span> </span><a class="white" title="Click here" href="mailto:info@longdom.org">info@longdom.org</a></p> </div> <div class="col-12 col-sm-4"> <h4 class="white font-size-4 fweight-400 border-bottom-1 pb-2">连接</h4> <nav class="nav nav-pills social-icons-footer flex-column a-pl-0"> <a href="https://www.facebook.com/longdompublisher" title="点击这里" target="_blank" class="nav-link bg-facebook-hover"><i class="fab fa-facebook-f bg-facebook"></i></a> <a href="https://www.linkedin.com/company/longdom-publishing-sl/" title="点击这里" target="_blank" class="nav-link bg-linkedin-hover"><i class="fab fa-linkedin-in bg-linkedin"></i></a> <a href="https://twitter.com/LongdomP" title="点击这里" target="_blank" class="nav-link bg-twitter-hover"><i class="fab fa-twitter bg-twitter"></i></a> <a href="https://www.instagram.com/longdom_publisher/" title="点击这里" target="_blank" class="nav-link bg-instagram-hover"><i class="fab fa-instagram bg-instagram"></i></a> </nav> </div> </div> <div class="row text-center"> <div class="col"> <p>版权 © 2024 <a href="https://chinese.longdom.org/" title="点击这里" class="white">朗顿出版公司</a>.</p> </div> </div> </div> </footer>  <a href="#0" class="cd-top js-cd-top">Top</a>   <script src="https://code.jquery.com/jquery-3.3.1.min.js"></script> <script src="https://cdnjs.cloudflare.com/ajax/libs/popper.js/1.14.7/umd/popper.min.js"></script> <script src="https://stackpath.bootstrapcdn.com/bootstrap/4.3.1/js/bootstrap.min.js"></script>  <script> jQuery(function($) { $(window).scroll(function fix_element() { $('#target').css( $(window).scrollTop() > 100 ? 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