{"id":2285,"date":"2023-11-07T12:36:55","date_gmt":"2023-11-07T05:36:55","guid":{"rendered":"https:\/\/www2.si.mahidol.ac.th\/department\/biochemistry\/sakda\/"},"modified":"2024-04-01T13:35:57","modified_gmt":"2024-04-01T06:35:57","slug":"sakda","status":"publish","type":"page","link":"https:\/\/www2.si.mahidol.ac.th\/department\/biochemistry\/en\/sakda\/","title":{"rendered":"sakda-en"},"content":{"rendered":"\n  <div class=\"banner has-hover\" id=\"banner-757886134\">\n          <div class=\"banner-inner fill\">\n        <div class=\"banner-bg fill\" >\n                                                \n                    <\/div>\n\t\t\n\t<div class=\"ux-shape-divider ux-shape-divider--bottom ux-shape-divider--style-arrow-2\">\n\t\t<svg viewBox=\"0 0 1000 100\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" preserveAspectRatio=\"none\">\n\t<path class=\"ux-shape-fill\" d=\"M1000 100H0L0 96H480.929C482.255 96 483.527 95.4732 484.464 94.5355L497.879 81.1213C499.05 79.9497 500.95 79.9497 502.121 81.1213L515.536 94.5355C516.473 95.4732 517.745 96 519.071 96H1000V100Z\"\/>\n<\/svg>\n\t<\/div>\n        <div class=\"banner-layers container\">\n            <div class=\"fill banner-link\"><\/div>            \n   <div id=\"text-box-600571112\" class=\"text-box banner-layer x5 md-x5 lg-x0 y10 md-y10 lg-y10 res-text\">\n                     <div data-animate=\"fadeInUp\">           <div class=\"text-box-content text dark\">\n              \n              <div class=\"text-inner text-center\">\n                  \n\t<div id=\"text-588678566\" class=\"text\">\n\t\t\n<p style=\"font-size: 50%;\"><a href=\"https:\/\/www2.si.mahidol.ac.th\/department\/biochemistry\/en\/staff-of-teachers\/\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-448\" src=\"https:\/\/www2.si.mahidol.ac.th\/department\/biochemistry\/wp-content\/uploads\/2023\/10\/left-arrow_545680-400x400.png\" alt=\"\" width=\"25\" height=\"25\" srcset=\"https:\/\/www2.si.mahidol.ac.th\/department\/biochemistry\/wp-content\/uploads\/2023\/10\/left-arrow_545680-400x400.png 400w, https:\/\/www2.si.mahidol.ac.th\/department\/biochemistry\/wp-content\/uploads\/2023\/10\/left-arrow_545680-280x280.png 280w, https:\/\/www2.si.mahidol.ac.th\/department\/biochemistry\/wp-content\/uploads\/2023\/10\/left-arrow_545680.png 512w\" sizes=\"auto, (max-width: 25px) 100vw, 25px\" \/>\u00a0 <u>Faculty members<\/u><\/a><\/p>\n\t\t\n<style>\n#text-588678566 {\n  font-size: 1.8rem;\n  text-align: left;\n}\n@media (min-width:550px) {\n  #text-588678566 {\n    font-size: 2.5rem;\n  }\n}\n@media (min-width:850px) {\n  #text-588678566 {\n    font-size: 3rem;\n  }\n}\n<\/style>\n\t<\/div>\n\t\n              <\/div>\n           <\/div>\n       <\/div>                     \n<style>\n#text-box-600571112 {\n  width: 60%;\n}\n#text-box-600571112 .text-box-content {\n  font-size: 100%;\n}\n<\/style>\n    <\/div>\n \n        <\/div>\n      <\/div>\n\n            \n<style>\n#banner-757886134 {\n  padding-top: 80px;\n  background-color: #1d59bb;\n}\n#banner-757886134 .ux-shape-divider--bottom svg {\n  height: 150px;\n  --divider-width: 100%;\n}\n@media (min-width:550px) {\n  #banner-757886134 {\n    padding-top: 100px;\n  }\n}\n@media (min-width:850px) {\n  #banner-757886134 {\n    padding-top: 120px;\n  }\n}\n<\/style>\n  <\/div>\n\n\n\n\t<section class=\"section\" id=\"section_843232231\">\n\t\t<div class=\"section-bg fill\" >\n\t\t\t\t\t\t\t\t\t\n\t\t\t\n\n\t\t<\/div>\n\n\t\t\n\n\t\t<div class=\"section-content relative\">\n\t\t\t\n\t<div id=\"gap-118582826\" class=\"gap-element clearfix\" style=\"display:block; height:auto;\">\n\t\t\n<style>\n#gap-118582826 {\n  padding-top: 30px;\n}\n<\/style>\n\t<\/div>\n\t\n<div class=\"row align-center\"  id=\"row-1083689449\">\n\n\t<div id=\"col-1359835915\" class=\"col small-12 large-12\"  >\n\t\t\t\t<div class=\"col-inner\"  >\n\t\t\t\n\t\t\t\n\t<div id=\"text-3101330449\" class=\"text\">\n\t\t\n<h2>Assoc.Prof.Sakda Khoomrung,Dr.rer.nat. (Ph.D.) (Affiliated Faculty)<\/h2>\n\t\t\n<style>\n#text-3101330449 {\n  font-size: 0.8rem;\n  text-align: center;\n}\n@media (min-width:550px) {\n  #text-3101330449 {\n    font-size: 0.9rem;\n  }\n}\n@media (min-width:850px) {\n  #text-3101330449 {\n    font-size: 0.9rem;\n    text-align: left;\n  }\n}\n<\/style>\n\t<\/div>\n\t\n\t\t<\/div>\n\t\t\t\t\n<style>\n#col-1359835915 > .col-inner {\n  margin: 0px 0px -20px 0px;\n}\n<\/style>\n\t<\/div>\n\n\t\n\n\t<div id=\"col-623741699\" class=\"col medium-8 small-12 large-5\"  >\n\t\t\t\t<div class=\"col-inner\"  >\n\t\t\t\n\t\t\t\n\t<div class=\"img has-hover x md-x lg-x y md-y lg-y\" id=\"image_1570216656\">\n\t\t\t\t\t\t\t\t<div class=\"img-inner dark\" >\n\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"800\" height=\"800\" src=\"https:\/\/www2.si.mahidol.ac.th\/department\/biochemistry\/wp-content\/uploads\/2024\/04\/\u0e23\u0e39\u0e1b\u0e2d\u0e32\u0e08\u0e32\u0e23\u0e22\u0e4c\u0e28\u0e31\u0e01\u0e14\u0e34\u0e37\u0e14\u0e32-800x800.jpg\" class=\"attachment-large size-large\" alt=\"\" srcset=\"https:\/\/www2.si.mahidol.ac.th\/department\/biochemistry\/wp-content\/uploads\/2024\/04\/\u0e23\u0e39\u0e1b\u0e2d\u0e32\u0e08\u0e32\u0e23\u0e22\u0e4c\u0e28\u0e31\u0e01\u0e14\u0e34\u0e37\u0e14\u0e32-800x800.jpg 800w, https:\/\/www2.si.mahidol.ac.th\/department\/biochemistry\/wp-content\/uploads\/2024\/04\/\u0e23\u0e39\u0e1b\u0e2d\u0e32\u0e08\u0e32\u0e23\u0e22\u0e4c\u0e28\u0e31\u0e01\u0e14\u0e34\u0e37\u0e14\u0e32-400x400.jpg 400w, https:\/\/www2.si.mahidol.ac.th\/department\/biochemistry\/wp-content\/uploads\/2024\/04\/\u0e23\u0e39\u0e1b\u0e2d\u0e32\u0e08\u0e32\u0e23\u0e22\u0e4c\u0e28\u0e31\u0e01\u0e14\u0e34\u0e37\u0e14\u0e32-280x280.jpg 280w, https:\/\/www2.si.mahidol.ac.th\/department\/biochemistry\/wp-content\/uploads\/2024\/04\/\u0e23\u0e39\u0e1b\u0e2d\u0e32\u0e08\u0e32\u0e23\u0e22\u0e4c\u0e28\u0e31\u0e01\u0e14\u0e34\u0e37\u0e14\u0e32-768x768.jpg 768w, https:\/\/www2.si.mahidol.ac.th\/department\/biochemistry\/wp-content\/uploads\/2024\/04\/\u0e23\u0e39\u0e1b\u0e2d\u0e32\u0e08\u0e32\u0e23\u0e22\u0e4c\u0e28\u0e31\u0e01\u0e14\u0e34\u0e37\u0e14\u0e32.jpg 826w\" sizes=\"auto, (max-width: 800px) 100vw, 800px\" \/>\t\t\t\t\t\t\n\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\n<style>\n#image_1570216656 {\n  width: 100%;\n}\n<\/style>\n\t<\/div>\n\t\n\t\t<\/div>\n\t\t\t\t\n<style>\n#col-623741699 > .col-inner {\n  margin: 0px 0px 0px 0px;\n}\n@media (min-width:850px) {\n  #col-623741699 > .col-inner {\n    margin: 0px 0px -20px 0px;\n  }\n}\n<\/style>\n\t<\/div>\n\n\t\n\n\t<div id=\"col-451929555\" class=\"col medium-10 small-12 large-7\"  >\n\t\t\t\t<div class=\"col-inner\"  >\n\t\t\t\n\t\t\t\n<div class=\"row\"  id=\"row-2083910701\">\n\n\t<div id=\"col-1073239079\" class=\"col small-12 large-12\"  >\n\t\t\t\t<div class=\"col-inner\"  >\n\t\t\t\n\t\t\t\n\t<div id=\"text-227141330\" class=\"text\">\n\t\t\n<ul>\n<li>Post Doc; Systems and Synthetic Biology, Chalmers University of Technology, Sweden<\/li>\n<li>Dr. rer. nat. (Ph.D.) in Chemistry; Karl-Franzens University, Austria<\/li>\n<li>M. Sc. in Analytical Chemistry; Prince of Songkla University, Thailand<\/li>\n<li>Diploma (Environmental Analysis); Technical University of Denmark, Denmark<\/li>\n<li>B.Sc. in Education (Chemistry); Prince of Songkla University, Thailand<\/li>\n<\/ul>\n\t\t\n<style>\n#text-227141330 {\n  font-size: 1rem;\n  line-height: 1.5;\n}\n@media (min-width:550px) {\n  #text-227141330 {\n    line-height: 1.3;\n  }\n}\n@media (min-width:850px) {\n  #text-227141330 {\n    font-size: 1rem;\n  }\n}\n<\/style>\n\t<\/div>\n\t\n\n\t\t<div class=\"icon-box featured-box icon-box-left text-left\"  >\n\t\t\t\t\t<div class=\"icon-box-img\" style=\"width: 21px\">\n\t\t\t\t<div class=\"icon\">\n\t\t\t\t\t<div class=\"icon-inner\" >\n\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"400\" height=\"400\" src=\"https:\/\/www2.si.mahidol.ac.th\/department\/biochemistry\/wp-content\/uploads\/2023\/10\/suitcase_1243560-400x400.png\" class=\"attachment-medium size-medium\" alt=\"\" srcset=\"https:\/\/www2.si.mahidol.ac.th\/department\/biochemistry\/wp-content\/uploads\/2023\/10\/suitcase_1243560-400x400.png 400w, https:\/\/www2.si.mahidol.ac.th\/department\/biochemistry\/wp-content\/uploads\/2023\/10\/suitcase_1243560-280x280.png 280w, https:\/\/www2.si.mahidol.ac.th\/department\/biochemistry\/wp-content\/uploads\/2023\/10\/suitcase_1243560.png 512w\" sizes=\"auto, (max-width: 400px) 100vw, 400px\" \/>\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t<div class=\"icon-box-text last-reset\">\n\t\t\t\t\t\t\t\t\t\n\t<div id=\"text-1485773865\" class=\"text\">\n\t\t\n<p>Siriraj Metabolomics and Phenomics Center (SIMPC)<br \/>\nRoom 1034, 10th floor, Srisavarindira Bldg.<br \/>\nFaculty of Medicine, Siriraj Hospital , Bangkoknoi, Bangkok 10700<br \/>\n\t\t\n<style>\n#text-1485773865 {\n  font-size: 1rem;\n}\n<\/style>\n\t<\/div>\n\t\n\t\t<\/div>\n\t<\/div>\n\t\n\t\n\n\t\t<div class=\"icon-box featured-box icon-box-left text-left\"  >\n\t\t\t\t\t<div class=\"icon-box-img\" style=\"width: 21px\">\n\t\t\t\t<div class=\"icon\">\n\t\t\t\t\t<div class=\"icon-inner\" >\n\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"400\" height=\"400\" src=\"https:\/\/www2.si.mahidol.ac.th\/department\/biochemistry\/wp-content\/uploads\/2023\/10\/telephone_3891977-400x400.png\" class=\"attachment-medium size-medium\" alt=\"\" srcset=\"https:\/\/www2.si.mahidol.ac.th\/department\/biochemistry\/wp-content\/uploads\/2023\/10\/telephone_3891977-400x400.png 400w, https:\/\/www2.si.mahidol.ac.th\/department\/biochemistry\/wp-content\/uploads\/2023\/10\/telephone_3891977-280x280.png 280w, https:\/\/www2.si.mahidol.ac.th\/department\/biochemistry\/wp-content\/uploads\/2023\/10\/telephone_3891977.png 512w\" sizes=\"auto, (max-width: 400px) 100vw, 400px\" \/>\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t<div class=\"icon-box-text last-reset\">\n\t\t\t\t\t\t\t\t\t\n<p>(66) 02-419-5505<\/p>\n\t\t<\/div>\n\t<\/div>\n\t\n\t\n\n\t\t<div class=\"icon-box featured-box icon-box-left text-left\"  >\n\t\t\t\t\t<div class=\"icon-box-img\" style=\"width: 21px\">\n\t\t\t\t<div class=\"icon\">\n\t\t\t\t\t<div class=\"icon-inner\" >\n\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"400\" height=\"400\" src=\"https:\/\/www2.si.mahidol.ac.th\/department\/biochemistry\/wp-content\/uploads\/2023\/10\/mail_1324171-2-400x400.png\" class=\"attachment-medium size-medium\" alt=\"\" srcset=\"https:\/\/www2.si.mahidol.ac.th\/department\/biochemistry\/wp-content\/uploads\/2023\/10\/mail_1324171-2-400x400.png 400w, https:\/\/www2.si.mahidol.ac.th\/department\/biochemistry\/wp-content\/uploads\/2023\/10\/mail_1324171-2-280x280.png 280w, https:\/\/www2.si.mahidol.ac.th\/department\/biochemistry\/wp-content\/uploads\/2023\/10\/mail_1324171-2.png 512w\" sizes=\"auto, (max-width: 400px) 100vw, 400px\" \/>\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t<div class=\"icon-box-text last-reset\">\n\t\t\t\t\t\t\t\t\t\n\t<div id=\"text-945940292\" class=\"text\">\n\t\t\n<p>E-Mail : <a href=\"mailto:Sakda.kho@mahidol.edu\">Sakda.kho@mahidol.edu<\/a><br \/>\n\t\t\n<style>\n#text-945940292 {\n  font-size: 1rem;\n}\n<\/style>\n\t<\/div>\n\t\n\t\t<\/div>\n\t<\/div>\n\t\n\t\n\t\t<\/div>\n\t\t\t\t\n<style>\n#col-1073239079 > .col-inner {\n  margin: 0px 0px -20px 0px;\n}\n<\/style>\n\t<\/div>\n\n\t\n<\/div>\n\t<div id=\"text-1118947647\" class=\"text\">\n\t\t\n<p>\u0e15\u0e34\u0e14\u0e15\u0e48\u0e2d : <a href=\"https:\/\/www.si.mahidol.ac.th\/th\/research-academics\/research\/simpc\/index.html\"><u>Siriraj Metabolomics and Phenomics Center (SiMPC)<\/u><\/a><br \/>\n\t\t\n<style>\n#text-1118947647 {\n  font-size: 1rem;\n  line-height: 1.5;\n}\n@media (min-width:550px) {\n  #text-1118947647 {\n    line-height: 1.3;\n  }\n}\n@media (min-width:850px) {\n  #text-1118947647 {\n    font-size: 1rem;\n  }\n}\n<\/style>\n\t<\/div>\n\t\n\t\t<\/div>\n\t\t\t\t\n<style>\n#col-451929555 > .col-inner {\n  margin: 0px 0px -20px 0px;\n}\n<\/style>\n\t<\/div>\n\n\t\n<\/div>\n\t\t<\/div>\n\n\t\t\n<style>\n#section_843232231 {\n  padding-top: 0px;\n  padding-bottom: 0px;\n}\n<\/style>\n\t<\/section>\n\t\n\n\t<section class=\"section\" id=\"section_1072117186\">\n\t\t<div class=\"section-bg fill\" >\n\t\t\t\t\t\t\t\t\t\n\t\t\t\n\n\t\t<\/div>\n\n\t\t\n\n\t\t<div class=\"section-content relative\">\n\t\t\t\n<div class=\"row\"  id=\"row-1363799668\">\n\n\t<div id=\"col-793875570\" class=\"col small-12 large-12\"  >\n\t\t\t\t<div class=\"col-inner\"  >\n\t\t\t\n\t\t\t\n<div class=\"accordion\">\n\t<div id=\"accordion-2462846191\" class=\"accordion-item\">\n\t\t<a id=\"accordion-2462846191-label\" class=\"accordion-title plain active\" href=\"#accordion-item-research-profile\" aria-expanded=\"true\" aria-controls=\"accordion-2462846191-content\">\n\t\t\t<button class=\"toggle\" aria-label=\"Toggle\"><i class=\"icon-angle-down\" aria-hidden=\"true\"><\/i><\/button>\n\t\t\t<span>Research Profile<\/span>\n\t\t<\/a>\n\t\t<div id=\"accordion-2462846191-content\" class=\"accordion-inner\" style=\"display: block;\" aria-labelledby=\"accordion-2462846191-label\">\n\t\t\t\n\t<div id=\"text-3330139601\" class=\"text\">\n\t\t\n<p><strong>Metabolomics\u00a0and\u00a0systems\u00a0biology<\/strong><\/p>\n<p>Our\u00a0research\u00a0focus\u00a0is\u00a0on\u00a0applying\u00a0metabolomics\u00a0and\u00a0systems\u00a0biology\u00a0for a\u00a0better\u00a0understanding\u00a0of\u00a0biology,\u00a0especially\u00a0in the area of\u00a0medical\u00a0research.\u00a0Since 2007, we have been working on developing tools for metabolomics and systems biology (both wet- and dry-lab) as well as applying the methods to various biological problems. The established methods are capable of quantitative, semi-quantitative and high-throughput analysis. These advanced technologies allow dissecting the complexity of biology. The ultimate goal of our research group is to build an integrated platform encompassing analytical methods (MS- and NMR-based metabolomics) and bioinformatics components, software and databases, necessary for enhancing the capacity and efficiency of metabolomics and molecular phenotyping study in clinical research. Subsequently, the platform will be applied to address different biological problems such as glomerular disease and chronic kidney diseases, vaccine research, food and nutrition, human health, traditional medicine, and natural products.<br \/>\n\t\t\n<style>\n#text-3330139601 {\n  font-size: 1rem;\n  line-height: 2;\n}\n@media (min-width:550px) {\n  #text-3330139601 {\n    font-size: 1rem;\n  }\n}\n@media (min-width:850px) {\n  #text-3330139601 {\n    font-size: 1rem;\n  }\n}\n<\/style>\n\t<\/div>\n\t\n\t<div class=\"img has-hover x md-x lg-x y md-y lg-y\" id=\"image_101512121\">\n\t\t\t\t\t\t\t\t<div class=\"img-inner dark\" >\n\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"946\" height=\"390\" src=\"https:\/\/www2.si.mahidol.ac.th\/department\/biochemistry\/wp-content\/uploads\/2023\/11\/metabolomics.jpg\" class=\"attachment-large size-large\" alt=\"\" srcset=\"https:\/\/www2.si.mahidol.ac.th\/department\/biochemistry\/wp-content\/uploads\/2023\/11\/metabolomics.jpg 946w, https:\/\/www2.si.mahidol.ac.th\/department\/biochemistry\/wp-content\/uploads\/2023\/11\/metabolomics-800x330.jpg 800w, https:\/\/www2.si.mahidol.ac.th\/department\/biochemistry\/wp-content\/uploads\/2023\/11\/metabolomics-768x317.jpg 768w\" sizes=\"auto, (max-width: 946px) 100vw, 946px\" \/>\t\t\t\t\t\t\n\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\n<style>\n#image_101512121 {\n  width: 94%;\n}\n<\/style>\n\t<\/div>\n\t\n\t\t<\/div>\n\t<\/div>\n\t\n\t<div id=\"accordion-2826963847\" class=\"accordion-item\">\n\t\t<a id=\"accordion-2826963847-label\" class=\"accordion-title plain\" href=\"#accordion-item-publications\" aria-expanded=\"false\" aria-controls=\"accordion-2826963847-content\">\n\t\t\t<button class=\"toggle\" aria-label=\"Toggle\"><i class=\"icon-angle-down\" aria-hidden=\"true\"><\/i><\/button>\n\t\t\t<span>Publications<\/span>\n\t\t<\/a>\n\t\t<div id=\"accordion-2826963847-content\" class=\"accordion-inner\" aria-labelledby=\"accordion-2826963847-label\">\n\t\t\t\n\t<div id=\"text-2633987431\" class=\"text\">\n\t\t\n\n<div class=\"wpdt-c row wpDataTableContainerSimpleTable wpDataTables wpDataTablesWrapper\n\"\n    >\n        <table id=\"wpdtSimpleTable-48\"\n           style=\"border-collapse:collapse;\n                   border-spacing:0px;\"\n           class=\"wpdtSimpleTable wpDataTable\"\n           data-column=\"2\"\n           data-rows=\"61\"\n           data-wpID=\"48\"\n           data-responsive=\"0\"\n           data-has-header=\"0\">\n\n                    <tbody>        <tr class=\"wpdt-cell-row \" >\n                                <td class=\"wpdt-cell wpdt-fs-000014\"\n                                            data-cell-id=\"A1\"\n                    data-col-index=\"0\"\n                    data-row-index=\"0\"\n                    style=\" width:10.314341846758%;                    padding:10px;\n                    \"\n                    >\n                                        1.                    <\/td>\n                                                <td class=\"wpdt-cell wpdt-align-left wpdt-fs-000014\"\n                                            data-cell-id=\"B1\"\n                    data-col-index=\"1\"\n                    data-row-index=\"0\"\n                    style=\" width:89.685658153242%;                    padding:10px;\n                    \"\n                    >\n                                        Khoomrung, S. <a href=\"https:\/\/scholar.google.se\/scholar?cluster=11811113973696269780&hl=en&as_sdt=2005\"><u>(2006). Analysis of total arsenic in soil and edible plant samples from Ronphibun sub-district, Nakorn Si Thammarat province by hydride generation atomic absorption spectrophotometry (Doctoral dissertation).                    <\/td>\n                                        <\/tr>\n                            <tr class=\"wpdt-cell-row \" >\n                                <td class=\"wpdt-cell wpdt-fs-000014\"\n                                            data-cell-id=\"A2\"\n                    data-col-index=\"0\"\n                    data-row-index=\"1\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        2.                    <\/td>\n                                                <td class=\"wpdt-cell wpdt-align-left wpdt-fs-000014\"\n                                            data-cell-id=\"B2\"\n                    data-col-index=\"1\"\n                    data-row-index=\"1\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        Khoomrung, S., Laoteng, K., Jitsue, S., & Cheevadhanarak, S.<a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/18604531\/\"><u> (2008). Significance of fatty acid supplementation on profiles of cell growth, fatty acid, and gene expression of three desaturases in Mucor rouxii.<\/u><\/a> Applied microbiology and biotechnology, 80(3), 499\u2013506. https:\/\/doi.org\/10.1007\/s00253-008-1569-0                    <\/td>\n                                        <\/tr>\n                            <tr class=\"wpdt-cell-row \" >\n                                <td class=\"wpdt-cell wpdt-fs-000014\"\n                                            data-cell-id=\"A3\"\n                    data-col-index=\"0\"\n                    data-row-index=\"2\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        3.                    <\/td>\n                                                <td class=\"wpdt-cell wpdt-fs-000014 wpdt-align-left\"\n                                            data-cell-id=\"B3\"\n                    data-col-index=\"1\"\n                    data-row-index=\"2\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        Raber, G., Khoomrung, S., Taleshi, M. S., Edmonds, J. S., & Francesconi, K. A. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/19269497\/\"><u>(2009). Identification of arsenolipids with GC\/MS. <\/u><\/a>Talanta, 78(3), 1215\u20131218. https:\/\/doi.org\/10.1016\/j.talanta.2009.01.013                    <\/td>\n                                        <\/tr>\n                            <tr class=\"wpdt-cell-row \" >\n                                <td class=\"wpdt-cell wpdt-fs-000014\"\n                                            data-cell-id=\"A4\"\n                    data-col-index=\"0\"\n                    data-row-index=\"3\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        4.                    <\/td>\n                                                <td class=\"wpdt-cell wpdt-fs-000014 wpdt-align-left\"\n                                            data-cell-id=\"B4\"\n                    data-col-index=\"1\"\n                    data-row-index=\"3\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        Shi, S., Valle-Rodr\u00edguez, J. O., Khoomrung, S., Siewers, V., & Nielsen, J. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/22364438\/\"><u>(2012). Functional expression and characterization of five wax ester synthases in Saccharomyces cerevisiae and their utility for biodiesel production.<\/u><\/a> Biotechnology for biofuels, 5, 7. https:\/\/doi.org\/10.1186\/1754-6834-5-7                    <\/td>\n                                        <\/tr>\n                            <tr class=\"wpdt-cell-row \" >\n                                <td class=\"wpdt-cell wpdt-fs-000014\"\n                                            data-cell-id=\"A5\"\n                    data-col-index=\"0\"\n                    data-row-index=\"4\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        5.                    <\/td>\n                                                <td class=\"wpdt-cell wpdt-fs-000014 wpdt-align-left\"\n                                            data-cell-id=\"B5\"\n                    data-col-index=\"1\"\n                    data-row-index=\"4\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        Khoomrung, S., Chumnanpuen, P., Jansa-ard, S., Nookaew, I., & Nielsen, J. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/22569641\/\"><u>(2012). Fast and accurate preparation fatty acid methyl esters by microwave-assisted derivatization in the yeast Saccharomyces cerevisiae.<\/u><\/a> Applied microbiology and biotechnology, 94(6), 1637\u20131646. https:\/\/doi.org\/10.1007\/s00253-012-4125-x                    <\/td>\n                                        <\/tr>\n                            <tr class=\"wpdt-cell-row \" >\n                                <td class=\"wpdt-cell wpdt-fs-000014\"\n                                            data-cell-id=\"A6\"\n                    data-col-index=\"0\"\n                    data-row-index=\"5\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        6.                    <\/td>\n                                                <td class=\"wpdt-cell wpdt-fs-000014 wpdt-align-left\"\n                                            data-cell-id=\"B6\"\n                    data-col-index=\"1\"\n                    data-row-index=\"5\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        Khoomrung, S., Chumnanpuen, P., Jansa-Ard, S., St\u00e5hlman, M., Nookaew, I., Bor\u00e9n, J., & Nielsen, J. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/23634639\/\"><u>(2013). Rapid quantification of yeast lipid using microwave-assisted total lipid extraction and HPLC-CAD. <\/u><\/a>Analytical chemistry, 85(10), 4912\u20134919. https:\/\/doi.org\/10.1021\/ac3032405                    <\/td>\n                                        <\/tr>\n                            <tr class=\"wpdt-cell-row \" >\n                                <td class=\"wpdt-cell wpdt-fs-000014\"\n                                            data-cell-id=\"A7\"\n                    data-col-index=\"0\"\n                    data-row-index=\"6\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        7.                    <\/td>\n                                                <td class=\"wpdt-cell wpdt-align-left wpdt-fs-000014\"\n                                            data-cell-id=\"B7\"\n                    data-col-index=\"1\"\n                    data-row-index=\"6\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        Hussain, A., Nookaew, I., Khoomrung, S., Andersson, L., Larsson, I., Hulth\u00e9n, L., Jansson, N., Jakubowicz, R., Nilsson, S., Sandberg, A. S., Nielsen, J., & Holm\u00e4ng, A. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/23746286\/\"><u>(2013). A maternal diet of fatty fish reduces body fat of offspring compared with a maternal diet of beef and a post-weaning diet of fish improves insulin sensitivity and lipid profile in adult C57BL\/6 male mice.<\/u><\/a> Acta physiologica (Oxford, England), 209(3), 220\u2013234. https:\/\/doi.org\/10.1111\/apha.12130                    <\/td>\n                                        <\/tr>\n                            <tr class=\"wpdt-cell-row \" >\n                                <td class=\"wpdt-cell wpdt-fs-000014\"\n                                            data-cell-id=\"A8\"\n                    data-col-index=\"0\"\n                    data-row-index=\"7\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        8.                    <\/td>\n                                                <td class=\"wpdt-cell wpdt-align-left wpdt-fs-000014\"\n                                            data-cell-id=\"B8\"\n                    data-col-index=\"1\"\n                    data-row-index=\"7\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        Hussain, A., Olausson, H., Nilsson, S., Nookaew, I., Khoomrung, S., Andersson, L., Koskela, A., Tuukkanen, J., Ohlsson, C., & Holm\u00e4ng, A. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/24157588\/\"><u>(2013). Maternal beef and postweaning herring diets increase bone mineral density and strength in mouse offspring. <\/u><\/a>Experimental biology and medicine (Maywood, N.J.), 238(12), 1362\u20131369. https:\/\/doi.org\/10.1177\/1535370213506436                    <\/td>\n                                        <\/tr>\n                            <tr class=\"wpdt-cell-row \" >\n                                <td class=\"wpdt-cell wpdt-fs-000014\"\n                                            data-cell-id=\"A9\"\n                    data-col-index=\"0\"\n                    data-row-index=\"8\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        9.                    <\/td>\n                                                <td class=\"wpdt-cell wpdt-fs-000014 wpdt-align-left\"\n                                            data-cell-id=\"B9\"\n                    data-col-index=\"1\"\n                    data-row-index=\"8\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        Knuf, C., Nookaew, I., Remmers, I., Khoomrung, S., Brown, S., Berry, A., & Nielsen, J. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/24413918\/\"><u>(2014). Physiological characterization of the high malic acid-producing Aspergillus oryzae strain 2103a-68.<\/u><\/a> Applied microbiology and biotechnology, 98(8), 3517\u20133527. https:\/\/doi.org\/10.1007\/s00253-013-5465-x                    <\/td>\n                                        <\/tr>\n                            <tr class=\"wpdt-cell-row \" >\n                                <td class=\"wpdt-cell wpdt-fs-000014\"\n                                            data-cell-id=\"A10\"\n                    data-col-index=\"0\"\n                    data-row-index=\"9\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        10.                    <\/td>\n                                                <td class=\"wpdt-cell wpdt-fs-000014 wpdt-align-left\"\n                                            data-cell-id=\"B10\"\n                    data-col-index=\"1\"\n                    data-row-index=\"9\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        Khoomrung, S., Raber, G., Laoteng, K., & Francesconi, K. A. <a href=\"https:\/\/onlinelibrary.wiley.com\/doi\/full\/10.1002\/ejlt.201300369\"><u>(2014). Identification and characterization of fish oil supplements based on fatty acid analysis combined with a hierarchical clustering algorithm. <\/u><\/a>European Journal of Lipid Science and Technology, 116(7), 795\u2013804. https:\/\/doi.org\/10.1002\/ejlt.201300369                    <\/td>\n                                        <\/tr>\n                            <tr class=\"wpdt-cell-row \" >\n                                <td class=\"wpdt-cell wpdt-fs-000014\"\n                                            data-cell-id=\"A11\"\n                    data-col-index=\"0\"\n                    data-row-index=\"10\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        11.                    <\/td>\n                                                <td class=\"wpdt-cell wpdt-fs-000014 wpdt-align-left\"\n                                            data-cell-id=\"B11\"\n                    data-col-index=\"1\"\n                    data-row-index=\"10\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        Nicastro, R., Tripodi, F., Guzzi, C., Reghellin, V., Khoomrung, S., Capusoni, C., Compagno, C., Airoldi, C., Nielsen, J., Alberghina, L., & Coccetti, P. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/25841981\/\"><u>(2015). Enhanced amino acid utilization sustains growth of cells lacking Snf1\/AMPK. <\/u><\/a>Biochimica et biophysica acta, 1853(7), 1615\u20131625. https:\/\/doi.org\/10.1016\/j.bbamcr.2015.03.014                    <\/td>\n                                        <\/tr>\n                            <tr class=\"wpdt-cell-row \" >\n                                <td class=\"wpdt-cell wpdt-fs-000014\"\n                                            data-cell-id=\"A12\"\n                    data-col-index=\"0\"\n                    data-row-index=\"11\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        12.                    <\/td>\n                                                <td class=\"wpdt-cell wpdt-fs-000014 wpdt-align-left\"\n                                            data-cell-id=\"B12\"\n                    data-col-index=\"1\"\n                    data-row-index=\"11\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        Qin, J., Zhou, Y. J., Krivoruchko, A., Huang, M., Liu, L., Khoomrung, S., Siewers, V., Jiang, B., & Nielsen, J.<a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/26345617\/\"><u>  (2015). Modular pathway rewiring of Saccharomyces cerevisiae enables high-level production of L-ornithine. <\/u><\/a>Nature communications, 6, 8224. https:\/\/doi.org\/10.1038\/ncomms9224                    <\/td>\n                                        <\/tr>\n                            <tr class=\"wpdt-cell-row \" >\n                                <td class=\"wpdt-cell wpdt-fs-000014\"\n                                            data-cell-id=\"A13\"\n                    data-col-index=\"0\"\n                    data-row-index=\"12\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        13.                    <\/td>\n                                                <td class=\"wpdt-cell wpdt-fs-000014 wpdt-align-left\"\n                                            data-cell-id=\"B13\"\n                    data-col-index=\"1\"\n                    data-row-index=\"12\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        Khoomrung, S., Mart\u00ednez, J. L., Tippmann, S., Jansa-Ard, S., Buffing, M. F., Nicastro, R., & Nielsen, J.<a href=\"https:\/\/backend.orbit.dtu.dk\/ws\/portalfiles\/portal\/119797182\/Expanded_metabolite_coverage_of_Saccharomyces_cerevisiae_extract_through_improved_chloroform_methanol_extraction_and_tert_butyldimethylsilyl_derivatization.pdf\"><u> (2015). Expanded metabolite coverage of Saccharomyces cerevisiae extract through improved chloroform\/methanol extraction and tert-butyldimethylsilyl derivatization.<\/u><\/a> Analytical Chemistry Research, 6, 9-16. https:\/\/doi.org\/10.1016\/j.ancr.2015.10.001                    <\/td>\n                                        <\/tr>\n                            <tr class=\"wpdt-cell-row \" >\n                                <td class=\"wpdt-cell wpdt-fs-000014\"\n                                            data-cell-id=\"A14\"\n                    data-col-index=\"0\"\n                    data-row-index=\"13\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        14.                    <\/td>\n                                                <td class=\"wpdt-cell wpdt-fs-000014 wpdt-align-left\"\n                                            data-cell-id=\"B14\"\n                    data-col-index=\"1\"\n                    data-row-index=\"13\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        Tippmann, S., Nielsen, J., & Khoomrung, S. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/26695240\/\"><u>(2016). Improved quantification of farnesene during microbial production from Saccharomyces cerevisiae in two-liquid-phase fermentations. <\/u><\/a>Talanta, 146, 100\u2013106. https:\/\/doi.org\/10.1016\/j.talanta.2015.08.031                    <\/td>\n                                        <\/tr>\n                            <tr class=\"wpdt-cell-row \" >\n                                <td class=\"wpdt-cell wpdt-fs-000014\"\n                                            data-cell-id=\"A15\"\n                    data-col-index=\"0\"\n                    data-row-index=\"14\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        15.                    <\/td>\n                                                <td class=\"wpdt-cell wpdt-fs-000014 wpdt-align-left\"\n                                            data-cell-id=\"B15\"\n                    data-col-index=\"1\"\n                    data-row-index=\"14\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        Olafsdottir, T. A., Lindqvist, M., Nookaew, I., Andersen, P., Maertzdorf, J., Persson, J., Christensen, D., Zhang, Y., Anderson, J., Khoomrung, S., Sen, P., Agger, E. M., Coler, R., Carter, D., Meinke, A., Rappuoli, R., Kaufmann, S. H., Reed, S. G., & Harandi, A. M. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/27958370\/\"><u>(2016). Comparative Systems Analyses Reveal Molecular Signatures of Clinically tested Vaccine Adjuvants. <\/u><\/a>Scientific reports, 6, 39097. https:\/\/doi.org\/10.1038\/srep39097                    <\/td>\n                                        <\/tr>\n                            <tr class=\"wpdt-cell-row \" >\n                                <td class=\"wpdt-cell wpdt-fs-000014\"\n                                            data-cell-id=\"A16\"\n                    data-col-index=\"0\"\n                    data-row-index=\"15\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        16.                    <\/td>\n                                                <td class=\"wpdt-cell wpdt-fs-000014 wpdt-align-left\"\n                                            data-cell-id=\"B16\"\n                    data-col-index=\"1\"\n                    data-row-index=\"15\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        Fletcher, E., Feizi, A., Bisschops, M. M. M., Hallstr\u00f6m, B. M., Khoomrung, S., Siewers, V., & Nielsen, J. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/27815194\/\"><u>(2017). Evolutionary engineering reveals divergent paths when yeast is adapted to different acidic environments. <\/u><\/a>Metabolic engineering, 39, 19\u201328. https:\/\/doi.org\/10.1016\/j.ymben.2016.10.010                    <\/td>\n                                        <\/tr>\n                            <tr class=\"wpdt-cell-row \" >\n                                <td class=\"wpdt-cell wpdt-fs-000014\"\n                                            data-cell-id=\"A17\"\n                    data-col-index=\"0\"\n                    data-row-index=\"16\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        17.                    <\/td>\n                                                <td class=\"wpdt-cell wpdt-fs-000014 wpdt-align-left\"\n                                            data-cell-id=\"B17\"\n                    data-col-index=\"1\"\n                    data-row-index=\"16\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        Rodriguez, A., Chen, Y., Khoomrung, S., \u00d6zdemir, E., Borodina, I., & Nielsen, J. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/29101089\/\"><u>(2017). Comparison of the metabolic response to over-production of p-coumaric acid in two yeast strains. <\/u><\/a>Metabolic engineering, 44, 265\u2013272. https:\/\/doi.org\/10.1016\/j.ymben.2017.10.013                    <\/td>\n                                        <\/tr>\n                            <tr class=\"wpdt-cell-row \" >\n                                <td class=\"wpdt-cell wpdt-fs-000014\"\n                                            data-cell-id=\"A18\"\n                    data-col-index=\"0\"\n                    data-row-index=\"17\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        18.                    <\/td>\n                                                <td class=\"wpdt-cell wpdt-align-left wpdt-fs-000014\"\n                                            data-cell-id=\"B18\"\n                    data-col-index=\"1\"\n                    data-row-index=\"17\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        Khoomrung, S., Wanichthanarak, K., Nookaew, I., Thamsermsang, O., Seubnooch, P., Laohapand, T., & Akarasereenont, P. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/28769804\/\"><u>(2017). Metabolomics and Integrative Omics for the Development of Thai Traditional Medicine.<\/u><\/a> Frontiers in pharmacology, 8, 474. https:\/\/doi.org\/10.3389\/fphar.2017.00474                    <\/td>\n                                        <\/tr>\n                            <tr class=\"wpdt-cell-row \" >\n                                <td class=\"wpdt-cell wpdt-fs-000014\"\n                                            data-cell-id=\"A19\"\n                    data-col-index=\"0\"\n                    data-row-index=\"18\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        19.                    <\/td>\n                                                <td class=\"wpdt-cell wpdt-fs-000014 wpdt-align-left\"\n                                            data-cell-id=\"B19\"\n                    data-col-index=\"1\"\n                    data-row-index=\"18\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        Grapov, D., Fahrmann, J., Wanichthanarak, K., & Khoomrung, S. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/30124358\/\"><u>(2018). Rise of Deep Learning for Genomic, Proteomic, and Metabolomic Data Integration in Precision Medicine.<\/u><\/a> Omics : a journal of integrative biology, 22(10), 630\u2013636. https:\/\/doi.org\/10.1089\/omi.2018.0097                    <\/td>\n                                        <\/tr>\n                            <tr class=\"wpdt-cell-row \" >\n                                <td class=\"wpdt-cell wpdt-fs-000014\"\n                                            data-cell-id=\"A20\"\n                    data-col-index=\"0\"\n                    data-row-index=\"19\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        20.                    <\/td>\n                                                <td class=\"wpdt-cell wpdt-fs-000014 wpdt-align-left\"\n                                            data-cell-id=\"B20\"\n                    data-col-index=\"1\"\n                    data-row-index=\"19\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        Guo, Z. P., Khoomrung, S., Nielsen, J., & Olsson, L. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/30450126\/\"><u>(2018). Changes in lipid metabolism convey acid tolerance in Saccharomyces cerevisiae.<\/u><\/a> Biotechnology for biofuels, 11, 297. https:\/\/doi.org\/10.1186\/s13068-018-1295-5                    <\/td>\n                                        <\/tr>\n                            <tr class=\"wpdt-cell-row \" >\n                                <td class=\"wpdt-cell wpdt-fs-000014\"\n                                            data-cell-id=\"A21\"\n                    data-col-index=\"0\"\n                    data-row-index=\"20\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        21.                    <\/td>\n                                                <td class=\"wpdt-cell wpdt-fs-000014 wpdt-align-left\"\n                                            data-cell-id=\"B21\"\n                    data-col-index=\"1\"\n                    data-row-index=\"20\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        Wanichthanarak, K., Jeamsripong, S., Pornputtapong, N., & Khoomrung, S.<a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/31110642\/\"><u> (2019). Accounting for biological variation with linear mixed-effects modelling improves the quality of clinical metabolomics data.<\/u><\/a> Computational and structural biotechnology journal, 17, 611\u2013618. https:\/\/doi.org\/10.1016\/j.csbj.2019.04.009                    <\/td>\n                                        <\/tr>\n                            <tr class=\"wpdt-cell-row \" >\n                                <td class=\"wpdt-cell wpdt-fs-000014\"\n                                            data-cell-id=\"A22\"\n                    data-col-index=\"0\"\n                    data-row-index=\"21\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        22.                    <\/td>\n                                                <td class=\"wpdt-cell wpdt-fs-000014 wpdt-align-left\"\n                                            data-cell-id=\"B22\"\n                    data-col-index=\"1\"\n                    data-row-index=\"21\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        Jariyasopit, N., Tung, P., Su, K., Halappanavar, S., Evans, G. J., Su, Y., Khoomrung, S., & Harner, T. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/31227350\/\"><u>(2019). Polycyclic aromatic compounds in urban air and associated inhalation cancer risks: A case study targeting distinct source sectors. <\/u><\/a>Environmental pollution (Barking, Essex : 1987), 252(Pt B), 1882\u20131891. https:\/\/doi.org\/10.1016\/j.envpol.2019.06.015                    <\/td>\n                                        <\/tr>\n                            <tr class=\"wpdt-cell-row \" >\n                                <td class=\"wpdt-cell wpdt-fs-000014\"\n                                            data-cell-id=\"A23\"\n                    data-col-index=\"0\"\n                    data-row-index=\"22\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        23.                    <\/td>\n                                                <td class=\"wpdt-cell wpdt-fs-000014 wpdt-align-left\"\n                                            data-cell-id=\"B23\"\n                    data-col-index=\"1\"\n                    data-row-index=\"22\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        Jeennor, S., Anantayanon, J., Panchanawaporn, S., Khoomrung, S., Chutrakul, C., & Laoteng, K.  <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/31039437\/\"><u>(2019). Reengineering lipid biosynthetic pathways of Aspergillus oryzae for enhanced production of \u03b3-linolenic acid and dihomo-\u03b3-linolenic acid. <\/u><\/a>Gene, 706, 106\u2013114. https:\/\/doi.org\/10.1016\/j.gene.2019.04.074                    <\/td>\n                                        <\/tr>\n                            <tr class=\"wpdt-cell-row \" >\n                                <td class=\"wpdt-cell wpdt-fs-000014\"\n                                            data-cell-id=\"A24\"\n                    data-col-index=\"0\"\n                    data-row-index=\"23\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        24.                    <\/td>\n                                                <td class=\"wpdt-cell wpdt-fs-000014 wpdt-align-left\"\n                                            data-cell-id=\"B24\"\n                    data-col-index=\"1\"\n                    data-row-index=\"23\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        Khoomrung, S., Nookaew, I., Sen, P., Olafsdottir, T. A., Persson, J., Moritz, T., Andersen, P., Harandi, A. M., & Nielsen, J. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/31625748\/\"><u>(2020). Metabolic Profiling and Compound-Class Identification Reveal Alterations in Serum Triglyceride Levels in Mice Immunized with Human Vaccine Adjuvant Alum. <\/u><\/a>Journal of proteome research, 19(1), 269\u2013278. https:\/\/doi.org\/10.1021\/acs.jproteome.9b00517                    <\/td>\n                                        <\/tr>\n                            <tr class=\"wpdt-cell-row \" >\n                                <td class=\"wpdt-cell wpdt-fs-000014\"\n                                            data-cell-id=\"A25\"\n                    data-col-index=\"0\"\n                    data-row-index=\"24\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        25.                    <\/td>\n                                                <td class=\"wpdt-cell wpdt-fs-000014 wpdt-align-left\"\n                                            data-cell-id=\"B25\"\n                    data-col-index=\"1\"\n                    data-row-index=\"24\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        Liu, Y., Liu, Q., Krivoruchko, A., Khoomrung, S., & Nielsen, J. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/31844304\/\"><u>(2020). Engineering yeast phospholipid metabolism for de novo oleoylethanolamide production.<\/u><\/a> Nature chemical biology, 16(2), 197\u2013205. https:\/\/doi.org\/10.1038\/s41589-019-0431-2                    <\/td>\n                                        <\/tr>\n                            <tr class=\"wpdt-cell-row \" >\n                                <td class=\"wpdt-cell wpdt-fs-000014\"\n                                            data-cell-id=\"A26\"\n                    data-col-index=\"0\"\n                    data-row-index=\"25\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        26.                    <\/td>\n                                                <td class=\"wpdt-cell wpdt-fs-000014 wpdt-align-left\"\n                                            data-cell-id=\"B26\"\n                    data-col-index=\"1\"\n                    data-row-index=\"25\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        Hodge, K., Makjaroen, J., Robinson, J., Khoomrung, S., & Pisitkun, T. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/32685848\/\"><u>(2020). Deep Proteomic Deconvolution of Interferons and HBV Transfection Effects on a Hepatoblastoma Cell Line.<\/u><\/a> ACS omega, 5(27), 16796\u201316810. https:\/\/doi.org\/10.1021\/acsomega.0c01865                    <\/td>\n                                        <\/tr>\n                            <tr class=\"wpdt-cell-row \" >\n                                <td class=\"wpdt-cell wpdt-fs-000014\"\n                                            data-cell-id=\"A27\"\n                    data-col-index=\"0\"\n                    data-row-index=\"26\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        27.                    <\/td>\n                                                <td class=\"wpdt-cell wpdt-align-left wpdt-fs-000014\"\n                                            data-cell-id=\"B27\"\n                    data-col-index=\"1\"\n                    data-row-index=\"26\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        Pomyen, Y., Wanichthanarak, K., Poungsombat, P., Fahrmann, J., Grapov, D., & Khoomrung, S.  <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/33133423\/\"><u>(2020). Deep metabolome: Applications of deep learning in metabolomics. <\/u><\/a>Computational and structural biotechnology journal, 18, 2818\u20132825. https:\/\/doi.org\/10.1016\/j.csbj.2020.09.033                    <\/td>\n                                        <\/tr>\n                            <tr class=\"wpdt-cell-row \" >\n                                <td class=\"wpdt-cell wpdt-fs-000014\"\n                                            data-cell-id=\"A28\"\n                    data-col-index=\"0\"\n                    data-row-index=\"27\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        28.                    <\/td>\n                                                <td class=\"wpdt-cell wpdt-fs-000014 wpdt-align-left\"\n                                            data-cell-id=\"B28\"\n                    data-col-index=\"1\"\n                    data-row-index=\"27\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        Sen, P., Lamichhane, S., Mathema, V. B., McGlinchey, A., Dickens, A. M., Khoomrung, S., & Ore\u0161i\u010d, M. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/32940335\/\"><u>(2021). Deep learning meets metabolomics: a methodological perspective.<\/u><\/a> Briefings in bioinformatics, 22(2), 1531\u20131542. https:\/\/doi.org\/10.1093\/bib\/bbaa204                    <\/td>\n                                        <\/tr>\n                            <tr class=\"wpdt-cell-row \" >\n                                <td class=\"wpdt-cell wpdt-fs-000014\"\n                                            data-cell-id=\"A29\"\n                    data-col-index=\"0\"\n                    data-row-index=\"28\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        29.                    <\/td>\n                                                <td class=\"wpdt-cell wpdt-fs-000014 wpdt-align-left\"\n                                            data-cell-id=\"B29\"\n                    data-col-index=\"1\"\n                    data-row-index=\"28\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        Limjiasahapong, S., Kaewnarin, K., Jariyasopit, N., Hongthong, S., Nuntasaen, N., Robinson, J. L., Nookaew, I., Sirivatanauksorn, Y., Kuhakarn, C., Reutrakul, V., & Khoomrung, S. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/33505413\/\"><u>(2021). UPLC-ESI-MRM\/MS for Absolute Quantification and MS\/MS Structural Elucidation of Six Specialized Pyranonaphthoquinone Metabolites From Ventilago harmandiana. <\/u><\/a>Frontiers in plant science, 11, 602993. https:\/\/doi.org\/10.3389\/fpls.2020.602993                    <\/td>\n                                        <\/tr>\n                            <tr class=\"wpdt-cell-row \" >\n                                <td class=\"wpdt-cell wpdt-fs-000014\"\n                                            data-cell-id=\"A30\"\n                    data-col-index=\"0\"\n                    data-row-index=\"29\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        30.                    <\/td>\n                                                <td class=\"wpdt-cell wpdt-fs-000014 wpdt-align-left\"\n                                            data-cell-id=\"B30\"\n                    data-col-index=\"1\"\n                    data-row-index=\"29\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        Jariyasopit, N., Khamsaeng, S., Panya, A., Vinaisuratern, P., Metem, P., Asawalertpanich, W., Visessanguan, W., Sirivatanauksorn, V., & Khoomrung, S. <a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0889157520314903\"><u> (2021). Quantitative analysis of nutrient metabolite compositions of retail cow\u2019s milk and milk alternatives in Thailand using GC\u2013MS. <\/u><\/a>Journal of Food Composition and Analysis, 97, Article 103785. https:\/\/doi.org\/10.1016\/j.jfca.2020.103785                    <\/td>\n                                        <\/tr>\n                            <tr class=\"wpdt-cell-row \" >\n                                <td class=\"wpdt-cell wpdt-fs-000014\"\n                                            data-cell-id=\"A31\"\n                    data-col-index=\"0\"\n                    data-row-index=\"30\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        31.                    <\/td>\n                                                <td class=\"wpdt-cell wpdt-fs-000014 wpdt-align-left\"\n                                            data-cell-id=\"B31\"\n                    data-col-index=\"1\"\n                    data-row-index=\"30\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        Kaewnarin, K., Limjiasahapong, S., Jariyasopit, N., Anekthanakul, K., Kurilung, A., Wong, S. C. C., Sirivatanauksorn, Y., Visessanguan, W., & Khoomrung, S.<a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/34412475\/\"><u> (2021). High-Resolution QTOF-MRM for Highly Accurate Identification and Quantification of Trace Levels of Triterpenoids in Ganoderma lucidum Mycelium. <\/u><\/a>Journal of the American Society for Mass Spectrometry, 32(9), 2451\u20132462. https:\/\/doi.org\/10.1021\/jasms.1c00175                    <\/td>\n                                        <\/tr>\n                            <tr class=\"wpdt-cell-row \" >\n                                <td class=\"wpdt-cell wpdt-fs-000014\"\n                                            data-cell-id=\"A32\"\n                    data-col-index=\"0\"\n                    data-row-index=\"31\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        32.                    <\/td>\n                                                <td class=\"wpdt-cell wpdt-fs-000014 wpdt-align-left\"\n                                            data-cell-id=\"B32\"\n                    data-col-index=\"1\"\n                    data-row-index=\"31\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        Anekthanakul, K., Manocheewa, S., Chienwichai, K., Poungsombat, P., Limjiasahapong, S., Wanichthanarak, K., Jariyasopit, N., Mathema, V. B., Kuhakarn, C., Reutrakul, V., Phetcharaburanin, J., Panya, A., Phonsatta, N., Visessanguan, W., Pomyen, Y., Sirivatanauksorn, Y., Worawichawong, S., Sathirapongsasuti, N., Kitiyakara, C., & Khoomrung, S. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/34805802\/\"><u> (2021). Predicting lupus membranous nephritis using reduced picolinic acid to tryptophan ratio as a urinary biomarker.<\/u><\/a> iScience, 24(11), 103355. https:\/\/doi.org\/10.1016\/j.isci.2021.103355                    <\/td>\n                                        <\/tr>\n                            <tr class=\"wpdt-cell-row \" >\n                                <td class=\"wpdt-cell wpdt-fs-000014\"\n                                            data-cell-id=\"A33\"\n                    data-col-index=\"0\"\n                    data-row-index=\"32\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        33.                    <\/td>\n                                                <td class=\"wpdt-cell wpdt-fs-000014 wpdt-align-left\"\n                                            data-cell-id=\"B33\"\n                    data-col-index=\"1\"\n                    data-row-index=\"32\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        Indrati, N., Sumpavapol, P., Samakradhamrongthai, R. S., Phonsatta, N., Poungsombat, P., Khoomrung, S., & Panya, A.<a href=\"https:\/\/ifst.onlinelibrary.wiley.com\/doi\/full\/10.1111\/ijfs.15703\"><u> (2022).Volatile and non-volatile compound profiles of commercial sweet pickled mango and its correlation with consumer preference.<\/u><\/a> International Journal of Food Science & Technology, 57(6), 3760\u20133770. https:\/\/doi.org\/10.1111\/ijfs.15703                    <\/td>\n                                        <\/tr>\n                            <tr class=\"wpdt-cell-row \" >\n                                <td class=\"wpdt-cell wpdt-fs-000014\"\n                                            data-cell-id=\"A34\"\n                    data-col-index=\"0\"\n                    data-row-index=\"33\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        34.                    <\/td>\n                                                <td class=\"wpdt-cell wpdt-fs-000014 wpdt-align-left\"\n                                            data-cell-id=\"B34\"\n                    data-col-index=\"1\"\n                    data-row-index=\"33\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        Mathema, V. B., Duangkumpha, K., Wanichthanarak, K., Jariyasopit, N., Dhakal, E., Sathirapongsasuti, N., Kitiyakara, C., Sirivatanauksorn, Y., & Khoomrung, S. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/35022651\/\"><u>(2022). CRISP: a deep learning architecture for GC\u2009\u00d7\u2009GC-TOFMS contour ROI identification, simulation and analysis in imaging metabolomics. <\/u><\/a>Briefings in bioinformatics, 23(2), bbab550. https:\/\/doi.org\/10.1093\/bib\/bbab550                    <\/td>\n                                        <\/tr>\n                            <tr class=\"wpdt-cell-row \" >\n                                <td class=\"wpdt-cell wpdt-fs-000014\"\n                                            data-cell-id=\"A35\"\n                    data-col-index=\"0\"\n                    data-row-index=\"34\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        35.                    <\/td>\n                                                <td class=\"wpdt-cell wpdt-fs-000014 wpdt-align-left\"\n                                            data-cell-id=\"B35\"\n                    data-col-index=\"1\"\n                    data-row-index=\"34\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        Indrati, N., Phonsatta, N., Poungsombat, P., Khoomrung, S., Sumpavapol, P., & Panya, A. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/36159495\/\"><u>(2022). Metabolic profiles alteration of Southern Thailand traditional sweet pickled mango during the production process. <\/u><\/a>Frontiers in nutrition, 9, 934842. https:\/\/doi.org\/10.3389\/fnut.2022.934842                    <\/td>\n                                        <\/tr>\n                            <tr class=\"wpdt-cell-row \" >\n                                <td class=\"wpdt-cell wpdt-fs-000014\"\n                                            data-cell-id=\"A36\"\n                    data-col-index=\"0\"\n                    data-row-index=\"35\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        36.                    <\/td>\n                                                <td class=\"wpdt-cell wpdt-fs-000014 wpdt-align-left\"\n                                            data-cell-id=\"B36\"\n                    data-col-index=\"1\"\n                    data-row-index=\"35\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        Duangkumpha, K., Jariyasopit, N., Wanichthanarak, K., Dhakal, E., Wisanpitayakorn, P., Thotsiri, S., Sirivatanauksorn, Y., Kitiyakara, C., Sathirapongsasuti, N., & Khoomrung, S.<a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/36055403\/\"><u> (2022). GC \u00d7 GC-TOFMS metabolomics analysis identifies elevated levels of plasma sugars and sugar alcohols in diabetic mellitus patients with kidney failure. <\/u><\/a>The Journal of biological chemistry, 298(10), 102445. https:\/\/doi.org\/10.1016\/j.jbc.2022.102445                    <\/td>\n                                        <\/tr>\n                            <tr class=\"wpdt-cell-row \" >\n                                <td class=\"wpdt-cell wpdt-fs-000014\"\n                                            data-cell-id=\"A37\"\n                    data-col-index=\"0\"\n                    data-row-index=\"36\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        37.                    <\/td>\n                                                <td class=\"wpdt-cell wpdt-fs-000014 wpdt-align-left\"\n                                            data-cell-id=\"B37\"\n                    data-col-index=\"1\"\n                    data-row-index=\"36\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        Jariyasopit, N., Limjiasahapong, S., Kurilung, A., Sartyoungkul, S., Wisanpitayakorn, P., Nuntasaen, N., Kuhakarn, C., Reutrakul, V., Kittakoop, P., Sirivatanauksorn, Y., & Khoomrung, S. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/36154058\/\"><u>(2022). Traveling Wave Ion Mobility-Derived Collision Cross Section Database for Plant Specialized Metabolites: An Application to Ventilago harmandiana Pierre. <\/u><\/a>Journal of proteome research, 21(10), 2481\u20132492. https:\/\/doi.org\/10.1021\/acs.jproteome.2c00413                    <\/td>\n                                        <\/tr>\n                            <tr class=\"wpdt-cell-row \" >\n                                <td class=\"wpdt-cell wpdt-fs-000014\"\n                                            data-cell-id=\"A38\"\n                    data-col-index=\"0\"\n                    data-row-index=\"37\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        38.                    <\/td>\n                                                <td class=\"wpdt-cell wpdt-align-left wpdt-fs-000014\"\n                                            data-cell-id=\"B38\"\n                    data-col-index=\"1\"\n                    data-row-index=\"37\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        Wanichthanarak, K., Nookaew, I., Pasookhush, P., Wongsurawat, T., Jenjaroenpun, P., Leeratsuwan, N., Wattanachaisaereekul, S., Visessanguan, W., Sirivatanauksorn, Y., Nuntasaen, N., Kuhakarn, C., Reutrakul, V., Ajawatanawong, P., & Khoomrung, S. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/36707785\/\"><u>(2023). Revisiting chloroplast genomic landscape and annotation towards comparative chloroplast genomes of Rhamnaceae. <\/u><\/a>BMC plant biology, 23(1), 59. https:\/\/doi.org\/10.1186\/s12870-023-04074-5                    <\/td>\n                                        <\/tr>\n                            <tr class=\"wpdt-cell-row \" >\n                                <td class=\"wpdt-cell wpdt-fs-000014\"\n                                            data-cell-id=\"A39\"\n                    data-col-index=\"0\"\n                    data-row-index=\"38\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        39.                    <\/td>\n                                                <td class=\"wpdt-cell wpdt-fs-000014 wpdt-align-left\"\n                                            data-cell-id=\"B39\"\n                    data-col-index=\"1\"\n                    data-row-index=\"38\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        Mathema, V. B., Sen, P., Lamichhane, S., Ore\u0161i\u010d, M., & Khoomrung, S.<a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/36817954\/\"><u> (2023). Deep learning facilitates multi-data type analysis and predictive biomarker discovery in cancer precision medicine. <\/u><\/a>Computational and structural biotechnology journal, 21, 1372\u20131382. https:\/\/doi.org\/10.1016\/j.csbj.2023.01.043                    <\/td>\n                                        <\/tr>\n                            <tr class=\"wpdt-cell-row \" >\n                                <td class=\"wpdt-cell wpdt-fs-000014\"\n                                            data-cell-id=\"A40\"\n                    data-col-index=\"0\"\n                    data-row-index=\"39\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        40.                    <\/td>\n                                                <td class=\"wpdt-cell wpdt-fs-000014 wpdt-align-left\"\n                                            data-cell-id=\"B40\"\n                    data-col-index=\"1\"\n                    data-row-index=\"39\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        Suta, S., Surawit, A., Mongkolsucharitkul, P., Pinsawas, B., Manosan, T., Ophakas, S., Pongkunakorn, T., Pumeiam, S., Sranacharoenpong, K., Sutheeworapong, S., Poungsombat, P., Khoomrung, S., Akarasereenont, P., Thaipisuttikul, I., Suktitipat, B., & Mayurasakorn, K. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/36904143\/\"><u>(2023). Prolonged Egg Supplement Advances Growing Child's Growth and Gut Microbiota. <\/u><\/a>Nutrients, 15(5), 1143. https:\/\/doi.org\/10.3390\/nu15051143                    <\/td>\n                                        <\/tr>\n                            <tr class=\"wpdt-cell-row \" >\n                                <td class=\"wpdt-cell wpdt-fs-000014\"\n                                            data-cell-id=\"A41\"\n                    data-col-index=\"0\"\n                    data-row-index=\"40\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        41.                    <\/td>\n                                                <td class=\"wpdt-cell wpdt-fs-000014 wpdt-align-left\"\n                                            data-cell-id=\"B41\"\n                    data-col-index=\"1\"\n                    data-row-index=\"40\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        Jariyasopit, N., & Khoomrung, S. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/37841334\/\"><u>(2023). Mass spectrometry-based analysis of gut microbial metabolites of aromatic amino acids.<\/u><\/a> Computational and structural biotechnology journal, 21, 4777\u20134789. https:\/\/doi.org\/10.1016\/j.csbj.2023.09.032                    <\/td>\n                                        <\/tr>\n                            <tr class=\"wpdt-cell-row \" >\n                                <td class=\"wpdt-cell wpdt-fs-000014\"\n                                            data-cell-id=\"A42\"\n                    data-col-index=\"0\"\n                    data-row-index=\"41\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        42.                    <\/td>\n                                                <td class=\"wpdt-cell wpdt-fs-000014 wpdt-align-left\"\n                                            data-cell-id=\"B42\"\n                    data-col-index=\"1\"\n                    data-row-index=\"41\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        Suta, S., Ophakas, S., Manosan, T., Honwichit, O., Charoensiddhi, S., Surawit, A., Pongkunakorn, T., Pumeiam, S., Mongkolsucharitkul, P., Pinsawas, B., Sutheeworapong, S., Puangsombat, P., Khoomrung, S., & Mayurasakorn, K. <a href=\"https:\/\/www.mdpi.com\/2072-6643\/15\/22\/4804\"><u>(2023). Influence of Prolonged Whole Egg Supplementation on Insulin-like Growth Factor 1 and Short-Chain Fatty Acids Product: Implications for Human Health and Gut Microbiota.<\/u><\/a> Nutrients, 15(22), 4804. https:\/\/doi.org\/10.3390\/nu15224804                    <\/td>\n                                        <\/tr>\n                            <tr class=\"wpdt-cell-row \" >\n                                <td class=\"wpdt-cell wpdt-fs-000014\"\n                                            data-cell-id=\"A43\"\n                    data-col-index=\"0\"\n                    data-row-index=\"42\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        43.                    <\/td>\n                                                <td class=\"wpdt-cell wpdt-fs-000014 wpdt-align-left\"\n                                            data-cell-id=\"B43\"\n                    data-col-index=\"1\"\n                    data-row-index=\"42\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        Thongkongkaew, T., Jariyasopit, N., Khoomrung, S., Siritutsoontorn, S., Jitrapakdee, S., Kittakoop, P., & Ruchirawat, S. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/38075774\/\"><u>(2023). Anti-Xanthine Oxidase 5'-Hydroxyhericenes A-D from the Edible Mushroom Hericium erinaceus and Structure Revision of 3-[2,3-Dihydroxy-4-(hydroxymethyl)tetrahydrofuran-1-yl]-pyridine-4,5-diol.<\/u><\/a> ACS omega, 8(48), 46284\u201346291. https:\/\/doi.org\/10.1021\/acsomega.3c07792                    <\/td>\n                                        <\/tr>\n                            <tr class=\"wpdt-cell-row \" >\n                                <td class=\"wpdt-cell wpdt-fs-000014\"\n                                            data-cell-id=\"A44\"\n                    data-col-index=\"0\"\n                    data-row-index=\"43\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        44.                    <\/td>\n                                                <td class=\"wpdt-cell wpdt-fs-000014 wpdt-align-left\"\n                                            data-cell-id=\"B44\"\n                    data-col-index=\"1\"\n                    data-row-index=\"43\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        Kurilung, A., Limjiasahapong, S., Kaewnarin, K., Wisanpitayakorn, P., Jariyasopit, N., Wanichthanarak, K., Sartyoungkul, S., Wong, S. C. C., Sathirapongsasuti, N., Kitiyakara, C., Sirivatanauksorn, Y., & Khoomrung, S. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/38799238\/\"><u>(2024). Measurement of very low-molecular weight metabolites by traveling wave ion mobility and its use in human urine samples. <\/u><\/a>Journal of pharmaceutical analysis, 14(5), 100921. https:\/\/doi.org\/10.1016\/j.jpha.2023.12.011                    <\/td>\n                                        <\/tr>\n                            <tr class=\"wpdt-cell-row \" >\n                                <td class=\"wpdt-cell wpdt-fs-000014\"\n                                            data-cell-id=\"A45\"\n                    data-col-index=\"0\"\n                    data-row-index=\"44\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        45.                    <\/td>\n                                                <td class=\"wpdt-cell wpdt-fs-000014 wpdt-align-left\"\n                                            data-cell-id=\"B45\"\n                    data-col-index=\"1\"\n                    data-row-index=\"44\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        Wisanpitayakorn, P., Sartyoungkul, S., Kurilung, A., Sirivatanauksorn, Y., Visessanguan, W., Sathirapongsasuti, N., & Khoomrung, S.  <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/38393779\/\"><u>(2024). Accurate Prediction of Ion Mobility Collision Cross-Section Using Ion's Polarizability and Molecular Mass with Limited Data. <\/u><\/a>Journal of chemical information and modeling, 64(5), 1533\u20131542. https:\/\/doi.org\/10.1021\/acs.jcim.3c01491                    <\/td>\n                                        <\/tr>\n                            <tr class=\"wpdt-cell-row \" >\n                                <td class=\"wpdt-cell wpdt-fs-000014\"\n                                            data-cell-id=\"A46\"\n                    data-col-index=\"0\"\n                    data-row-index=\"45\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        46.                    <\/td>\n                                                <td class=\"wpdt-cell wpdt-fs-000014 wpdt-align-left\"\n                                            data-cell-id=\"B46\"\n                    data-col-index=\"1\"\n                    data-row-index=\"45\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        Thamlikitkul, L., Manocheewa, S., Limjiasahapong, S.,  Wanichthanarak, k.,  Panya, A., Poungvarin, N., Pomyen, Y., Khoomrung\u00a0S.\n<a href=\"https:\/\/aacrjournals.org\/cancerres\/article\/84\/6_Supplement\/1068\/735826\"><u> (2024)Abstract 1068: Plasma metabolite biomarkers for EGFR-mutated non-small cell lung cancer (NSCLC)<\/u><\/a>\nCancer Research 2024.                    <\/td>\n                                        <\/tr>\n                            <tr class=\"wpdt-cell-row \" >\n                                <td class=\"wpdt-cell wpdt-fs-000014\"\n                                            data-cell-id=\"A47\"\n                    data-col-index=\"0\"\n                    data-row-index=\"46\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        47.                    <\/td>\n                                                <td class=\"wpdt-cell wpdt-fs-000014 wpdt-align-left\"\n                                            data-cell-id=\"B47\"\n                    data-col-index=\"1\"\n                    data-row-index=\"46\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        Manokasemsan, W., Jariyasopit, N., Poungsombat, P., Kaewnarin, K., Wanichthanarak, K., Kurilung, A., Duangkumpha, K., Limjiasahapong, S., Pomyen, Y., Chaiteerakij, R., Tansawat, R., Srisawat, C., Sirivatanauksorn, Y., Sirivatanauksorn, V., & Khoomrung, S. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/38827233\/\"><u>(2024). Quantifying fecal and plasma short-chain fatty acids in healthy Thai individuals.<\/u><\/a> Computational and structural biotechnology journal, 23, 2163\u20132172. https:\/\/doi.org\/10.1016\/j.csbj.2024.05.007                    <\/td>\n                                        <\/tr>\n                            <tr class=\"wpdt-cell-row \" >\n                                <td class=\"wpdt-cell wpdt-fs-000014\"\n                                            data-cell-id=\"A48\"\n                    data-col-index=\"0\"\n                    data-row-index=\"47\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        48.                    <\/td>\n                                                <td class=\"wpdt-cell wpdt-fs-000014 wpdt-align-left\"\n                                            data-cell-id=\"B48\"\n                    data-col-index=\"1\"\n                    data-row-index=\"47\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        Wanichthanarak, K., In-On, A., Fan, S., Fiehn, O., Wangwiwatsin, A., & Khoomrung, S. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/38488666\/\"><u>(2024). Data processing solutions to render metabolomics more quantitative: case studies in food and clinical metabolomics using Metabox 2.0. <\/u><\/a>GigaScience, 13, giae005. https:\/\/doi.org\/10.1093\/gigascience\/giae005                    <\/td>\n                                        <\/tr>\n                            <tr class=\"wpdt-cell-row \" >\n                                <td class=\"wpdt-cell wpdt-fs-000014\"\n                                            data-cell-id=\"A49\"\n                    data-col-index=\"0\"\n                    data-row-index=\"48\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        49.                    <\/td>\n                                                <td class=\"wpdt-cell wpdt-fs-000014 wpdt-align-left\"\n                                            data-cell-id=\"B49\"\n                    data-col-index=\"1\"\n                    data-row-index=\"48\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        Kurilung, A., Limjiasahapong, S., Kaewnarin, K., Wisanpitayakorn, P., Jariyasopit, N., Wanichthanarak, K., Sartyoungkul, S., Wong, S. C. C., Sathirapongsasuti, N., Kitiyakara, C., Sirivatanauksorn, Y., & Khoomrung, S. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/38799238\/\"><u>(2024). Measurement of very low-molecular weight metabolites by traveling wave ion mobility and its use in human urine samples.<\/u><\/a> Journal of pharmaceutical analysis, 14(5), 100921. https:\/\/doi.org\/10.1016\/j.jpha.2023.12.011                    <\/td>\n                                        <\/tr>\n                            <tr class=\"wpdt-cell-row \" >\n                                <td class=\"wpdt-cell wpdt-fs-000014\"\n                                            data-cell-id=\"A50\"\n                    data-col-index=\"0\"\n                    data-row-index=\"49\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        50.                    <\/td>\n                                                <td class=\"wpdt-cell wpdt-align-left wpdt-fs-000014\"\n                                            data-cell-id=\"B50\"\n                    data-col-index=\"1\"\n                    data-row-index=\"49\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        Sureram, S., Chutiwitoonchai, N., Pooprasert, T., Sangsopha, W., Limjiasahapong, S., Jariyasopit, N., Sirivatanauksorn, Y., Khoomrung, S., Mahidol, C., Ruchirawat, S., & Kittakoop, P. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/38866269\/\"><u>(2024). Discovery of procyanidin condensed tannins of (-)-epicatechin from Kratom, Mitragyna speciosa, as virucidal agents against SARS-CoV-2. <\/u><\/a>International journal of biological macromolecules, 273(Pt 1), 133059. https:\/\/doi.org\/10.1016\/j.ijbiomac.2024.133059                    <\/td>\n                                        <\/tr>\n                            <tr class=\"wpdt-cell-row \" >\n                                <td class=\"wpdt-cell wpdt-fs-000014\"\n                                            data-cell-id=\"A51\"\n                    data-col-index=\"0\"\n                    data-row-index=\"50\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        51.                    <\/td>\n                                                <td class=\"wpdt-cell wpdt-fs-000014 wpdt-align-left\"\n                                            data-cell-id=\"B51\"\n                    data-col-index=\"1\"\n                    data-row-index=\"50\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        Indrati, N., Phonsatta, N., Poungsombat, P., Khoomrung, S., Panya, A., & Sumpavapol, P. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/40049138\/\"><u>(2025). Investigation of southern Thailand sweet pickled mango metabolic profiles related to deterioration. <\/u><\/a>Food chemistry, 478, 143663. https:\/\/doi.org\/10.1016\/j.foodchem.2025.143663                    <\/td>\n                                        <\/tr>\n                            <tr class=\"wpdt-cell-row \" >\n                                <td class=\"wpdt-cell wpdt-fs-000014\"\n                                            data-cell-id=\"A52\"\n                    data-col-index=\"0\"\n                    data-row-index=\"51\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        52.                    <\/td>\n                                                <td class=\"wpdt-cell wpdt-fs-000014 wpdt-align-left\"\n                                            data-cell-id=\"B52\"\n                    data-col-index=\"1\"\n                    data-row-index=\"51\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        Kurilung, A., Limjiasahapong, S., Wanichthanarak, K., Manokasemsan, W., Kaewnarin, K., Duangkumpha, K., Manocheewa, S., Tansawat, R., Chaiteerakij, R., Nookaew, I., Sirivatanauksorn, Y., & Khoomrung, S. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/40703097\/\"><u>(2025). LC-QTOF-MSE with MS1-based precursor ion quantification and SiMD-assisted identification enhances human urine metabolite analysis. <\/u><\/a><br>Computational and structural biotechnology journal, 27, 3079\u20133089. https:\/\/doi.org\/10.1016\/j.csbj.2025.07.009                    <\/td>\n                                        <\/tr>\n                            <tr class=\"wpdt-cell-row \" >\n                                <td class=\"wpdt-cell wpdt-fs-000014\"\n                                            data-cell-id=\"A53\"\n                    data-col-index=\"0\"\n                    data-row-index=\"52\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        53.                    <\/td>\n                                                <td class=\"wpdt-cell wpdt-fs-000014 wpdt-align-left\"\n                                            data-cell-id=\"B53\"\n                    data-col-index=\"1\"\n                    data-row-index=\"52\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        Indrati, N., Phonsatta, N., Poungsombat, P., Khoomrung, S., Panya, A., & Sumpavapol, P. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/40049138\/\"><u>(2025)Investigation of southern Thailand sweet pickled mango metabolic profiles related to deterioration. <\/u><\/a><br>Food chemistry, 478, 143663. https:\/\/doi.org\/10.1016\/j.foodchem.2025.143663                    <\/td>\n                                        <\/tr>\n                            <tr class=\"wpdt-cell-row \" >\n                                <td class=\"wpdt-cell wpdt-fs-000014\"\n                                            data-cell-id=\"A54\"\n                    data-col-index=\"0\"\n                    data-row-index=\"53\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        54.                    <\/td>\n                                                <td class=\"wpdt-cell wpdt-fs-000014 wpdt-align-left\"\n                                            data-cell-id=\"B54\"\n                    data-col-index=\"1\"\n                    data-row-index=\"53\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        Saxena, K., Andersson, R., Widlund, P. O., Khoomrung, S., Hanz\u00e9n, S., Nielsen, J., Kumar, N., Molin, M., & Nystr\u00f6m, T.  <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/40456447\/\"><u>(2025). Perturbations in L-serine metabolism regulate protein quality control through the sensor of the retrograde response pathway RTG2 in Saccharomyces cerevisiae.<\/u><\/a> The Journal of biological chemistry, 301(7), 110329. https:\/\/doi.org\/10.1016\/j.jbc.2025.110329                    <\/td>\n                                        <\/tr>\n                            <tr class=\"wpdt-cell-row \" >\n                                <td class=\"wpdt-cell wpdt-fs-000014\"\n                                            data-cell-id=\"A55\"\n                    data-col-index=\"0\"\n                    data-row-index=\"54\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        55.                    <\/td>\n                                                <td class=\"wpdt-cell wpdt-fs-000014 wpdt-align-left\"\n                                            data-cell-id=\"B55\"\n                    data-col-index=\"1\"\n                    data-row-index=\"54\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        Kurilung, A., Limjiasahapong, S., Wanichthanarak, K., Manokasemsan, W., Kaewnarin, K., Duangkumpha, K., Manocheewa, S., Tansawat, R., Chaiteerakij, R., Nookaew, I., Sirivatanauksorn, Y., & Khoomrung, S. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/40703097\/\"><u>(2025). LC-QTOF-MSE with MS1-based precursor ion quantification and SiMD-assisted identification enhances human urine metabolite analysis.<\/u><\/a><br> Computational and structural biotechnology journal, 27, 3079\u20133089. https:\/\/doi.org\/10.1016\/j.csbj.2025.07.009                    <\/td>\n                                        <\/tr>\n                            <tr class=\"wpdt-cell-row \" >\n                                <td class=\"wpdt-cell wpdt-fs-000014\"\n                                            data-cell-id=\"A56\"\n                    data-col-index=\"0\"\n                    data-row-index=\"55\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        56.                    <\/td>\n                                                <td class=\"wpdt-cell wpdt-align-left wpdt-fs-000014\"\n                                            data-cell-id=\"B56\"\n                    data-col-index=\"1\"\n                    data-row-index=\"55\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        Thamlikitkul, L., Wanichthanarak, K., Manocheewa, S., Limjiasahapong, S., Phonsatta, N., Thangvichien, S., Panya, A., Sirivatanauksorn, Y., Poungvarin, N., & Khoomrung, S. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/41142757\/\"><u>(2025). Plasma metabolomic analysis in Thai EGFR-mutated non-small cell lung cancer patients. <\/u><\/a>Computational and structural biotechnology journal, 27, 4321\u20134331. https:\/\/doi.org\/10.1016\/j.csbj.2025.10.010                    <\/td>\n                                        <\/tr>\n                            <tr class=\"wpdt-cell-row \" >\n                                <td class=\"wpdt-cell wpdt-fs-000014\"\n                                            data-cell-id=\"A57\"\n                    data-col-index=\"0\"\n                    data-row-index=\"56\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        57.                    <\/td>\n                                                <td class=\"wpdt-cell wpdt-align-left wpdt-fs-000014\"\n                                            data-cell-id=\"B57\"\n                    data-col-index=\"1\"\n                    data-row-index=\"56\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        Manokasemsan, W., Jariyasopit, N., Wanichthanarak, K., Poungsombat, P., Kurilung, A., Limjiasahapong, S., Thapa, K., Sirivatanaukson, Y., Ruksasuk, S., Srithongkul, T., Kitiyakara, C., & Khoomrung, S. <a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S2001037025005082\"><u>(2025). LC-MS\/MS Identifies Elevated Imidazole Propionate and Gut-Derived Metabolite Alterations in Peritoneal Dialysis.<\/u><\/a><br> Computational and Structural Biotechnology, 27, 5271\u20135280.                    <\/td>\n                                        <\/tr>\n                            <tr class=\"wpdt-cell-row \" >\n                                <td class=\"wpdt-cell wpdt-fs-000014\"\n                                            data-cell-id=\"A58\"\n                    data-col-index=\"0\"\n                    data-row-index=\"57\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        58.                    <\/td>\n                                                <td class=\"wpdt-cell wpdt-align-left wpdt-fs-000014\"\n                                            data-cell-id=\"B58\"\n                    data-col-index=\"1\"\n                    data-row-index=\"57\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        Wisanpitayakorn, P., Konsue, A., Sartyoungkul, T., In-On, A., Sirivatanauksorn, Y., Gang, D. R., Kittakoop, P., & Khoomrung, S. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/41234027\/\"><u>(2025). Spatial Mapping of Stereoisomeric and Isobaric Alkaloids in Mitragyna speciosa Tissues by High-Resolution DESI-cIM-MS. Analytical chemistry, 10.1021\/acs.analchem.5c04730. <\/u><\/a><br>Advance online publication. https:\/\/doi.org\/10.1021\/acs.analchem.5c04730                    <\/td>\n                                        <\/tr>\n                            <tr class=\"wpdt-cell-row \" >\n                                <td class=\"wpdt-cell wpdt-fs-000014\"\n                                            data-cell-id=\"A59\"\n                    data-col-index=\"0\"\n                    data-row-index=\"58\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        59.                    <\/td>\n                                                <td class=\"wpdt-cell wpdt-align-left wpdt-fs-000014\"\n                                            data-cell-id=\"B59\"\n                    data-col-index=\"1\"\n                    data-row-index=\"58\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        Sangwongchai, W., Wanichthanarak, K., In-on, A., Natee, S., Champasri, C., Sa-ingthong, N., Beckles, D. M., Khoomrung, S., & Thitisaksakul, M.<a href=\"https:\/\/mahidol.elsevierpure.com\/en\/publications\/unveiling-distinct-storage-composition-and-starch-properties-in-d\/\"><u> (2025). Unveiling distinct storage composition and starch properties in developing indica rice grains via transcriptional profiling and enzymatic activity analysis.<\/u><\/a><br> Computational and Structural Biotechnology Journal, 27, 4898-4914. https:\/\/doi.org\/10.1016\/j.csbj.2025.11.011                    <\/td>\n                                        <\/tr>\n                            <tr class=\"wpdt-cell-row \" >\n                                <td class=\"wpdt-cell wpdt-fs-000014\"\n                                            data-cell-id=\"A60\"\n                    data-col-index=\"0\"\n                    data-row-index=\"59\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        60.                    <\/td>\n                                                <td class=\"wpdt-cell wpdt-fs-000014 wpdt-align-left\"\n                                            data-cell-id=\"B60\"\n                    data-col-index=\"1\"\n                    data-row-index=\"59\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        Jariyasopit, N., Phochmak, T., Manocheewa, S., Wanichthanarak, K., Limjiasahapong, S., Kleebkomut, N., Sirivatanauksorn, Y., Sirivatanauksorn, V., Phrommintikul, A., Chattipakorn, N., Chattipakorn, S., & Khoomrung, S. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/41487185\/\"><u>(2025). Higher Plasma Kynurenine to Tryptophan Correlates with an Increased Incidence of Mild Cognitive Impairment in Treated Metabolic Syndrome Patients.<\/u><\/a><br> ACS omega, 10(51), 63226\u201363237. https:\/\/doi.org\/10.1021\/acsomega.5c09713                    <\/td>\n                                        <\/tr>\n                            <tr class=\"wpdt-cell-row \" >\n                                <td class=\"wpdt-cell wpdt-fs-000014\"\n                                            data-cell-id=\"A61\"\n                    data-col-index=\"0\"\n                    data-row-index=\"60\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        61.                    <\/td>\n                                                <td class=\"wpdt-cell wpdt-fs-000014 wpdt-align-left\"\n                                            data-cell-id=\"B61\"\n                    data-col-index=\"1\"\n                    data-row-index=\"60\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        Varongkriengkrai, C., Chutiwitoonchai, N., Leerach, N., Sureram, S., Pooprasert, T., Aree, T., Khoomrung, S., Mahidol, C., Ruchirawat, S., & Kittakoop, P. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/41357123\/\"><u>(2025). Antiviral and virucidal activities against SARS-CoV-2 and antibacterial properties of bile acids and their salts with naturally occurring organic cations of l-carnitine, creatinine, and choline. <\/u><\/a><br>RSC advances, 15(56), 48216\u201348225. https:\/\/doi.org\/10.1039\/d5ra07917a                    <\/td>\n                                        <\/tr>\n                    <\/table>\n<\/div><style id='wpdt-custom-style-48'>\ntable#wpdtSimpleTable-48{ table-layout: fixed !important; }\ntable#wpdtSimpleTable-48 td, table.wpdtSimpleTable48 th { white-space: normal !important; }\n.wpdt-fs-000014 { font-size: 14px !important;}\n<\/style>\n<style>\n        \/* table font color *\/\n    .wpdt-c.wpDataTablesWrapper table.wpdtSimpleTable thead th,\n    .wpdt-c.wpDataTablesWrapper table.wpdtSimpleTable tbody td,\n    .wpdt-c .wpDataTablesWrapper table.wpDataTable thead th,\n    .wpdt-c .wpDataTablesWrapper table.wpDataTable tbody td,\n    .wpdt-c .wpDataTablesWrapper table.wpDataTable tfoot td {\n        color: #000000 !important;\n    }\n            \/* th background color *\/\n    .wpdt-c.wpDataTablesWrapper table.wpdtSimpleTable.bt[data-has-header='1'] td.wpdt-header-classes,\n    .wpdt-c.wpDataTablesWrapper table.wpdtSimpleTable thead th,\n    .wpdt-c .wpDataTablesWrapper table.wpDataTable thead th,\n    .wpdt-c .wpDataTablesWrapper table.wpDataTable thead th.sorting {\n        background-color: #1D59BB !important;\n        background-image: none !important;\n    }\n                \/* th font color *\/\n    .wpdt-c.wpDataTablesWrapper table.wpdtSimpleTable.bt[data-has-header='1'] td.wpdt-header-classes,\n    .wpdt-c.wpDataTablesWrapper table.wpdtSimpleTable thead th,\n    .wpdt-c .wpDataTablesWrapper table.wpDataTable thead th {\n        color: #FFFFFF !important;\n    }\n    .wpdt-c .wpDataTablesWrapper table.wpDataTable thead th.sorting:after,\n    .wpdt-c .wpDataTablesWrapper table.wpDataTable thead th.sorting_asc:after {\n        border-bottom-color: #FFFFFF !important;\n    }\n    .wpdt-c .wpDataTablesWrapper table.wpDataTable thead th.sorting_desc:after {\n        border-top-color: #FFFFFF !important;\n    }\n        \n                \/* odd rows background color *\/\n    .wpdt-c.wpDataTablesWrapper table.wpdtSimpleTable tr.odd td,\n    .wpdt-c .wpDataTablesWrapper table.wpDataTable tr.odd td {\n        background-color: #F7F7F7 !important;\n    }\n            \/* even rows background color *\/\n    .wpdt-c.wpDataTablesWrapper table.wpdtSimpleTable tr.even td,\n    .wpdt-c .wpDataTablesWrapper table.wpDataTable tr.even td,\n    .wpdt-c .wpDataTablesWrapper table.has-columns-hidden tr.row-detail > td {\n        background-color: #FFFFFF !important;\n    }\n                    \/* rows hover background color *\/\n    .wpdt-c.wpDataTablesWrapper table.wpdtSimpleTable tr.odd:hover > td,\n    .wpdt-c.wpDataTablesWrapper table.wpdtSimpleTable tr.even:hover > td,\n    .wpdt-c .wpDataTablesWrapper table.wpDataTable tr.odd:hover > td,\n    .wpdt-c .wpDataTablesWrapper table.wpDataTable tr.odd:hover > td.sorting_1,\n    .wpdt-c .wpDataTablesWrapper table.wpDataTable tr.even:hover > td,\n    .wpdt-c .wpDataTablesWrapper table.wpDataTable tr.even:hover > td.sorting_1 {\n        background-color: #E9E9E9 !important;\n    }\n                        \n                <\/style>\n\n\t\t\n<style>\n#text-2633987431 {\n  font-size: 1rem;\n}\n@media (min-width:550px) {\n  #text-2633987431 {\n    font-size: 1rem;\n  }\n}\n@media (min-width:850px) {\n  #text-2633987431 {\n    font-size: 1rem;\n  }\n}\n<\/style>\n\t<\/div>\n\t\n\t\t<\/div>\n\t<\/div>\n\t\n\t<div id=\"accordion-1078076992\" class=\"accordion-item\">\n\t\t<a id=\"accordion-1078076992-label\" class=\"accordion-title plain\" href=\"#accordion-item-abstracts\/presentations\" aria-expanded=\"false\" aria-controls=\"accordion-1078076992-content\">\n\t\t\t<button class=\"toggle\" aria-label=\"Toggle\"><i class=\"icon-angle-down\" aria-hidden=\"true\"><\/i><\/button>\n\t\t\t<span>Abstracts\/presentations<\/span>\n\t\t<\/a>\n\t\t<div id=\"accordion-1078076992-content\" class=\"accordion-inner\" aria-labelledby=\"accordion-1078076992-label\">\n\t\t\t\n\t\t<\/div>\n\t<\/div>\n\t\n<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\n\t\n<\/div>\n\t\t<\/div>\n\n\t\t\n<style>\n#section_1072117186 {\n  padding-top: 0px;\n  padding-bottom: 0px;\n}\n<\/style>\n\t<\/section>\n\t\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":10,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-2285","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.2 - 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