View : 760 Download: 0

Full metadata record

DC Field Value Language
dc.contributor.author황금숙*
dc.date.accessioned2016-08-29T12:08:03Z-
dc.date.available2016-08-29T12:08:03Z-
dc.date.issued2016*
dc.identifier.issn0003-2670*
dc.identifier.issn1873-4324*
dc.identifier.otherOAK-19021*
dc.identifier.urihttps://dspace.ewha.ac.kr/handle/2015.oak/231722-
dc.description.abstractThe goal of metabolomics is to analyze a whole metabolome under a given set of conditions, and accurate and reliable quantitation of metabolites is crucial. Absolute concentration is more valuable than relative concentration; however, the most commonly used method in NMR-based serum metabolic profiling, bin-based and full data point peak quantification, provides relative concentration levels of metabolites and are not reliable when metabolite peaks overlap in a spectrum. In this study, we present the software-assisted serum metabolite quantification (SASMeQ) method, which allows us to identify and quantify metabolites in NMR spectra using Chenomx software. This software uses the ERETIC2 utility from TopSpin to add a digitally synthesized peak to a spectrum. The SASMeQ method will advance NMR-based serum metabolic profiling by providing an accurate and reliable method for absolute quantification that is superior to bin-based quantification. (C) 2016 Elsevier B.V. All rights reserved.*
dc.languageEnglish*
dc.publisherELSEVIER SCIENCE BV*
dc.subjectMetabolomics*
dc.subjectNuclear magnetic resonance*
dc.subjectSerum*
dc.subjectQuantification*
dc.subjectProfiling*
dc.titleSoftware-assisted serum metabolite quantification using NMR*
dc.typeArticle*
dc.relation.volume934*
dc.relation.indexSCIE*
dc.relation.indexSCOPUS*
dc.relation.startpage194*
dc.relation.lastpage202*
dc.relation.journaltitleANALYTICA CHIMICA ACTA*
dc.identifier.doi10.1016/j.aca.2016.04.054*
dc.identifier.wosidWOS:000381928900023*
dc.identifier.scopusid2-s2.0-84977609943*
dc.author.googleJung, Young-Sang*
dc.author.googleHyeon, Jin-Seong*
dc.author.googleHwang, Geum-Sook*
dc.contributor.scopusid황금숙(7202676099)*
dc.date.modifydate20240222154747*
Appears in Collections:
자연과학대학 > 화학·나노과학전공 > Journal papers
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

BROWSE