{"title":"Chemometrics-Based TLC and GC-MS for Small Molecule Analysis: A Practical Guide","authors":"J. Vázquez-Martínez, Mercedes G. López","doi":"10.5772/INTECHOPEN.77160","DOIUrl":null,"url":null,"abstract":"Nowadays, thin-layer chromatography (TLC) and gas chromatography/mass spectrom- etry (GC-MS) instruments can produce more data than even before. At this point, the use of mathematical and statistical tools has provided the key to resolve the information overload. In this chapter, a practical guide is provided for the TLC and GC-MS analysis of short-chain fatty acids (SCFAs), amino acids, and monosaccharides. A methodology for extracting and transforming the chromatographic data to a suitable format for chemometrics is described. Furthermore, a procedure for chemometric analysis based on principal components analysis and clustering analysis is suggested.","PeriodicalId":309932,"journal":{"name":"Chemometrics and Data Analysis in Chromatography","volume":"2013 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chemometrics and Data Analysis in Chromatography","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5772/INTECHOPEN.77160","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Nowadays, thin-layer chromatography (TLC) and gas chromatography/mass spectrom- etry (GC-MS) instruments can produce more data than even before. At this point, the use of mathematical and statistical tools has provided the key to resolve the information overload. In this chapter, a practical guide is provided for the TLC and GC-MS analysis of short-chain fatty acids (SCFAs), amino acids, and monosaccharides. A methodology for extracting and transforming the chromatographic data to a suitable format for chemometrics is described. Furthermore, a procedure for chemometric analysis based on principal components analysis and clustering analysis is suggested.