Search results for: M. Saka膷

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Saka膷</title> <meta name="description" content="Search results for: M. Saka膷"> <meta name="keywords" content="M. Saka膷"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block d-lg-none navbar-toggler ml-auto" type="button" data-toggle="collapse" data-target="#navbarMenu" aria-controls="navbarMenu" aria-expanded="false" aria-label="Toggle navigation"> <span class="navbar-toggler-icon"></span> </button> <div class="w-100"> <div class="d-none d-lg-flex flex-row-reverse"> <form method="get" action="https://waset.org/search" class="form-inline my-2 my-lg-0"> <input class="form-control mr-sm-2" type="search" placeholder="Search Conferences" value="M. 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Saka膷"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 4</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: M. Saka膷</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4</span> Static Headspace GC Method for Aldehydes Determination in Different Food Matrices</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=A.%20Mandi%C4%87">A. Mandi膰</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Saka%C4%8D"> M. Saka膷</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Mi%C5%A1an"> A. Mi拧an</a>, <a href="https://publications.waset.org/abstracts/search?q=B.%20%C5%A0oji%C4%87"> B. 艩oji膰</a>, <a href="https://publications.waset.org/abstracts/search?q=L.%20Petrovi%C4%87"> L. Petrovi膰</a>, <a href="https://publications.waset.org/abstracts/search?q=I.%20Lon%C4%8Darevi%C4%87"> I. Lon膷arevi膰</a>, <a href="https://publications.waset.org/abstracts/search?q=B.%20Pajin"> B. Pajin</a>, <a href="https://publications.waset.org/abstracts/search?q=I.%20Sedej"> I. Sedej</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Aldehydes as secondary lipid oxidation products are highly specific to the oxidative degradation of particular polyunsaturated fatty acids present in foods. Gas chromatographic analysis of those volatile compounds has been widely used for monitoring of the deterioration of food products. Developed static headspace gas chromatography method using flame ionization detector (SHS GC FID) was applied to monitor the aldehydes present in processed foods such as bakery, meat and confectionary products. Five selected aldehydes were determined in samples without any sample preparation, except grinding for bakery and meat products. SHS鈥揋C analysis allows the separation of propanal, pentanal, hexanal, heptanal and octanal, within 15min. Aldehydes were quantified in fresh and stored samples, and the obtained range of aldehydes in crackers was 1.62卤0.05-9.95卤0.05mg/kg, in sausages 6.62卤0.46-39.16卤0.39mg/kg; and in cocoa spread cream 0.48卤0.01-1.13卤0.02mg/kg. Referring to the obtained results, the following can be concluded, proposed method is suitable for different types of samples, content of aldehydes varies depending on the type of a sample, and differs in fresh and stored samples of the same type. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=lipid%20oxidation" title="lipid oxidation">lipid oxidation</a>, <a href="https://publications.waset.org/abstracts/search?q=aldehydes" title=" aldehydes"> aldehydes</a>, <a href="https://publications.waset.org/abstracts/search?q=crackers" title=" crackers"> crackers</a>, <a href="https://publications.waset.org/abstracts/search?q=sausage" title=" sausage"> sausage</a>, <a href="https://publications.waset.org/abstracts/search?q=cocoa%20cream%20spread" title=" cocoa cream spread"> cocoa cream spread</a> </p> <a href="https://publications.waset.org/abstracts/7771/static-headspace-gc-method-for-aldehydes-determination-in-different-food-matrices" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/7771.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">429</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3</span> Microbiological Activity and Molecular Docking Study of Selected Steroid Derivatives of Biomedical Importance</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Milica%20Karadzic">Milica Karadzic</a>, <a href="https://publications.waset.org/abstracts/search?q=Lidija%20Jevric"> Lidija Jevric</a>, <a href="https://publications.waset.org/abstracts/search?q=Sanja%20Podunavac-Kuzmanovic"> Sanja Podunavac-Kuzmanovic</a>, <a href="https://publications.waset.org/abstracts/search?q=Strahinja%20Kovacevic"> Strahinja Kovacevic</a>, <a href="https://publications.waset.org/abstracts/search?q=Sinisa%20Markov"> Sinisa Markov</a>, <a href="https://publications.waset.org/abstracts/search?q=Aleksandar%20Okljesa"> Aleksandar Okljesa</a>, <a href="https://publications.waset.org/abstracts/search?q=Andrea%20Nikolic"> Andrea Nikolic</a>, <a href="https://publications.waset.org/abstracts/search?q=Marija%20Sakac"> Marija Sakac</a>, <a href="https://publications.waset.org/abstracts/search?q=Katarina%20Penov%20Gasi"> Katarina Penov Gasi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study considered the microbiological activity determination and molecular docking study for selected steroid derivatives of biomedical importance. Minimal inhibitory concentration (MIC) was determined for steroid derivatives against Staphylococcus aureus using macrodilution method. Some of the investigated steroid derivatives express bacteriostatic effect against Staphylococcus aureus. Molecular docking approaches are the most widely used techniques for predicting the binding mode of a ligand. Molecular docking study was done for steroid derivatives for androgen receptor negative prostate cancer cell line (PC-3) toward Human Cytochrome P450 CYP17A1. The molecules that had the smallest experimental IC50 values confirmed their ability to dock into active place using suitable molecular docking procedure. The binding disposition of those molecules was thoroughly investigated. Microbiological analysis and molecular docking study were conducted with aim to additionally characterize selected steroid derivatives for future investigation regarding their biological activity and to estimate the binding-affinities of investigated derivatives. This article is based upon work from COST Action (TD1305), supported by COST (European Cooperation and Science and Technology). <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=binding%20affinity" title="binding affinity">binding affinity</a>, <a href="https://publications.waset.org/abstracts/search?q=minimal%20inhibitory%20concentration" title=" minimal inhibitory concentration"> minimal inhibitory concentration</a>, <a href="https://publications.waset.org/abstracts/search?q=molecular%20docking" title=" molecular docking"> molecular docking</a>, <a href="https://publications.waset.org/abstracts/search?q=pc-3%20cell%20line" title=" pc-3 cell line"> pc-3 cell line</a>, <a href="https://publications.waset.org/abstracts/search?q=staphylococcus%20aureus" title=" staphylococcus aureus"> staphylococcus aureus</a>, <a href="https://publications.waset.org/abstracts/search?q=steroids" title=" steroids"> steroids</a> </p> <a href="https://publications.waset.org/abstracts/60204/microbiological-activity-and-molecular-docking-study-of-selected-steroid-derivatives-of-biomedical-importance" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/60204.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">365</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2</span> Non-Linear Assessment of Chromatographic Lipophilicity and Model Ranking of Newly Synthesized Steroid Derivatives</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Milica%20Karadzic">Milica Karadzic</a>, <a href="https://publications.waset.org/abstracts/search?q=Lidija%20Jevric"> Lidija Jevric</a>, <a href="https://publications.waset.org/abstracts/search?q=Sanja%20Podunavac-Kuzmanovic"> Sanja Podunavac-Kuzmanovic</a>, <a href="https://publications.waset.org/abstracts/search?q=Strahinja%20Kovacevic"> Strahinja Kovacevic</a>, <a href="https://publications.waset.org/abstracts/search?q=Anamarija%20Mandic"> Anamarija Mandic</a>, <a href="https://publications.waset.org/abstracts/search?q=Katarina%20Penov%20Gasi"> Katarina Penov Gasi</a>, <a href="https://publications.waset.org/abstracts/search?q=Marija%20Sakac"> Marija Sakac</a>, <a href="https://publications.waset.org/abstracts/search?q=Aleksandar%20Okljesa"> Aleksandar Okljesa</a>, <a href="https://publications.waset.org/abstracts/search?q=Andrea%20Nikolic"> Andrea Nikolic</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The present paper deals with chromatographic lipophilicity prediction of newly synthesized steroid derivatives. The prediction was achieved using in silico generated molecular descriptors and quantitative structure-retention relationship (QSRR) methodology with the artificial neural networks (ANN) approach. Chromatographic lipophilicity of the investigated compounds was expressed as retention factor value logk. For QSRR modeling, a feedforward back-propagation ANN with gradient descent learning algorithm was applied. Using the novel sum of ranking differences (SRD) method generated ANN models were ranked. The aim was to distinguish the most consistent QSRR model that can be found, and similarity or dissimilarity between the models that could be noticed. In this study, SRD was performed with average values of retention factor value logk as reference values. An excellent correlation between experimentally observed retention factor value logk and values predicted by the ANN was obtained with a correlation coefficient higher than 0.9890. Statistical results show that the established ANN models can be applied for required purpose. This article is based upon work from COST Action (TD1305), supported by COST (European Cooperation in Science and Technology). <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=artificial%20neural%20networks" title="artificial neural networks">artificial neural networks</a>, <a href="https://publications.waset.org/abstracts/search?q=liquid%20chromatography" title=" liquid chromatography"> liquid chromatography</a>, <a href="https://publications.waset.org/abstracts/search?q=molecular%20descriptors" title=" molecular descriptors"> molecular descriptors</a>, <a href="https://publications.waset.org/abstracts/search?q=steroids" title=" steroids"> steroids</a>, <a href="https://publications.waset.org/abstracts/search?q=sum%20of%20ranking%20differences" title=" sum of ranking differences"> sum of ranking differences</a> </p> <a href="https://publications.waset.org/abstracts/50587/non-linear-assessment-of-chromatographic-lipophilicity-and-model-ranking-of-newly-synthesized-steroid-derivatives" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/50587.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">319</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1</span> Non-Linear Assessment of Chromatographic Lipophilicity of Selected Steroid Derivatives</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Milica%20Karad%C5%BEi%C4%87">Milica Karad啪i膰</a>, <a href="https://publications.waset.org/abstracts/search?q=Lidija%20Jevri%C4%87"> Lidija Jevri膰</a>, <a href="https://publications.waset.org/abstracts/search?q=Sanja%20Podunavac-Kuzmanovi%C4%87"> Sanja Podunavac-Kuzmanovi膰</a>, <a href="https://publications.waset.org/abstracts/search?q=Strahinja%20Kova%C4%8Devi%C4%87"> Strahinja Kova膷evi膰</a>, <a href="https://publications.waset.org/abstracts/search?q=Anamarija%20Mandi%C4%87"> Anamarija Mandi膰</a>, <a href="https://publications.waset.org/abstracts/search?q=Aleksandar%20Oklje%C5%A1a"> Aleksandar Oklje拧a</a>, <a href="https://publications.waset.org/abstracts/search?q=Andrea%20Nikoli%C4%87"> Andrea Nikoli膰</a>, <a href="https://publications.waset.org/abstracts/search?q=Marija%20Saka%C4%8D"> Marija Saka膷</a>, <a href="https://publications.waset.org/abstracts/search?q=Katarina%20Penov%20Ga%C5%A1i"> Katarina Penov Ga拧i</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Using chemometric approach, the relationships between the chromatographic lipophilicity and in silico molecular descriptors for twenty-nine selected steroid derivatives were studied. The chromatographic lipophilicity was predicted using artificial neural networks (ANNs) method. The most important in silico molecular descriptors were selected applying stepwise selection (SS) paired with partial least squares (PLS) method. Molecular descriptors with satisfactory variable importance in projection (VIP) values were selected for ANN modeling. The usefulness of generated models was confirmed by detailed statistical validation. High agreement between experimental and predicted values indicated that obtained models have good quality and high predictive ability. Global sensitivity analysis (GSA) confirmed the importance of each molecular descriptor used as an input variable. High-quality networks indicate a strong non-linear relationship between chromatographic lipophilicity and used in silico molecular descriptors. Applying selected molecular descriptors and generated ANNs the good prediction of chromatographic lipophilicity of the studied steroid derivatives can be obtained. This article is based upon work from COST Actions (CM1306 and CA15222), supported by COST (European Cooperation and Science and Technology). <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=artificial%20neural%20networks" title="artificial neural networks">artificial neural networks</a>, <a href="https://publications.waset.org/abstracts/search?q=chemometrics" title=" chemometrics"> chemometrics</a>, <a href="https://publications.waset.org/abstracts/search?q=global%20sensitivity%20analysis" title=" global sensitivity analysis"> global sensitivity analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=liquid%20chromatography" title=" liquid chromatography"> liquid chromatography</a>, <a href="https://publications.waset.org/abstracts/search?q=steroids" title=" steroids"> steroids</a> </p> <a href="https://publications.waset.org/abstracts/60203/non-linear-assessment-of-chromatographic-lipophilicity-of-selected-steroid-derivatives" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/60203.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">345</span> </span> </div> </div> </div> </main> <footer> <div id="infolinks" class="pt-3 pb-2"> <div class="container"> <div style="background-color:#f5f5f5;" class="p-3"> <div class="row"> <div class="col-md-2"> <ul class="list-unstyled"> About <li><a href="https://waset.org/page/support">About Us</a></li> <li><a href="https://waset.org/page/support#legal-information">Legal</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/WASET-16th-foundational-anniversary.pdf">WASET celebrates its 16th foundational anniversary</a></li> </ul> </div> <div 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Search results for: M. Saka膷