{"title":"Chemical derivatization in LC-MS-based metabolomics study","authors":"Shuang Zhao, Liang Li","doi":"10.1016/j.trac.2020.115988","DOIUrl":null,"url":null,"abstract":"<div><p><span>Because of great diversity of chemical and physical properties and wide ranges of concentrations of different metabolites in metabolome samples, metabolome analysis is a challenging task. Compromises in coverage, quantification accuracy and sample throughput are often used to provide a sufficient amount of metabolomic information for a biological or clinical application. Chemical </span>derivatization<span> of metabolites offers an opportunity to improve the overall analytical performance of liquid chromatography mass spectrometry (LC-MS)-based metabolomics. This review highlights recent progresses (since 2016) in the field of chemical derivatization LC-MS for both targeted and untargeted metabolome analysis. Due to increased recognition of the benefits of derivatization in LC-MS metabolome analysis, many research groups have been involved in advancing this active research field. Due to space limitation, we selected a few examples of recently reported derivatization methods and applications to showcase the advantages of chemical derivatization, compared to conventional label-free methods.</span></p></div>","PeriodicalId":439,"journal":{"name":"Trends in Analytical Chemistry","volume":"131 ","pages":"Article 115988"},"PeriodicalIF":11.8000,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.trac.2020.115988","citationCount":"77","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Trends in Analytical Chemistry","FirstCategoryId":"1","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S016599362030217X","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
引用次数: 77
Abstract
Because of great diversity of chemical and physical properties and wide ranges of concentrations of different metabolites in metabolome samples, metabolome analysis is a challenging task. Compromises in coverage, quantification accuracy and sample throughput are often used to provide a sufficient amount of metabolomic information for a biological or clinical application. Chemical derivatization of metabolites offers an opportunity to improve the overall analytical performance of liquid chromatography mass spectrometry (LC-MS)-based metabolomics. This review highlights recent progresses (since 2016) in the field of chemical derivatization LC-MS for both targeted and untargeted metabolome analysis. Due to increased recognition of the benefits of derivatization in LC-MS metabolome analysis, many research groups have been involved in advancing this active research field. Due to space limitation, we selected a few examples of recently reported derivatization methods and applications to showcase the advantages of chemical derivatization, compared to conventional label-free methods.
期刊介绍:
TrAC publishes succinct and critical overviews of recent advancements in analytical chemistry, designed to assist analytical chemists and other users of analytical techniques. These reviews offer excellent, up-to-date, and timely coverage of various topics within analytical chemistry. Encompassing areas such as analytical instrumentation, biomedical analysis, biomolecular analysis, biosensors, chemical analysis, chemometrics, clinical chemistry, drug discovery, environmental analysis and monitoring, food analysis, forensic science, laboratory automation, materials science, metabolomics, pesticide-residue analysis, pharmaceutical analysis, proteomics, surface science, and water analysis and monitoring, these critical reviews provide comprehensive insights for practitioners in the field.