Gas Chromatography-Mass Spectrometry (GC-MS)-Based Metabolomics
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Metabolic fingerprinting, the main tool in metabolomics, is a non-targeted methodology where all detectable peaks (or signals), including those from unknown analytes, are considered to establish sample classification. After pattern comparison, those signals changing in response to a specific situation under investigation are identified to gain biological insight. For this purpose, gas chromatographymass spectrometry (GC-MS) has a drawback in that only volatile compounds or compounds that can be made volatile after derivatization can be analysed, and derivatization often requires extensive sample treatment. However, once the analysis is focused on low molecular weight metabolites, GC-MS is highly efficient, sensitive, and reproducible. Moreover, it is quantitative, and its compound identification capabilities are superior to other separation techniques because GC-MS instruments obtain mass spectra with reproducible fragmentation patterns, which allow for the creation of public databases. This chapter describes well-established protocols for metabolic fingerprinting (i.e. the comprehensive analysis of small molecules) in plasma and urine using GC-MS. Guidelines will also be provided regarding subsequent data pre-treatment, pattern recognition, and marker identification.
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- Gas Chromatography-Mass Spectrometry (GC-MS)-Based Metabolomics
- Book Title
- Metabolic Profiling
- Book Subtitle
- Methods and Protocols
- pp 191-204
- Print ISBN
- Online ISBN
- Series Title
- Methods in Molecular Biology
- Series Volume
- Series Subtitle
- Methods and Protocols
- Series ISSN
- Humana Press
- Copyright Holder
- Springer Science+Business Media, LLC
- Additional Links
- Pattern recognition
- multivariate analysis
- volatile compounds
- gas chromatography-mass spectrometry
- Industry Sectors
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