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Quantitative metabolomics based on gas chromatography mass spectrometry: Status and perspectives

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Author: Koek, M.M. · Jellema, R.H. · Greef, J. van der · Tas, A.C. · Hankemeier, T.
Type:article
Date:2011
Source:Metabolomics, 3, 7, 307-328
Identifier: 436017
doi: doi:10.1007/s11306-010-0254-3
Keywords: Nutrition Biology · Data preprocessing · Gas chromatography mass spectrometry · Method validation · Quality control · Quantitative metabolomics · analytic method · derivatization · information processing · mass fragmentography · metabolomics · nonhuman · process optimization · quality control · quantitative analysis · review · silylation · validation study · Life Triskelion BV · MSB - Microbiology and Systems Biology AR - Analytical Research · EELS - Earth, Environmental and Life Sciences TNO Bedrijven

Abstract

Metabolomics involves the unbiased quantitative and qualitative analysis of the complete set of metabolites present in cells, body fluids and tissues (the metabolome). By analyzing differences between metabolomes using biostatistics (multivariate data analysis; pattern recognition), metabolites relevant to a specific phenotypic characteristic can be identified. However, the reliability of the analytical data is a prerequisite for correct biological interpretation in metabolomics analysis. In this review the challenges in quantitative metabolomics analysis with regards to analytical as well as data preprocessing steps are discussed. Recommendations are given on how to optimize and validate comprehensive silylation-based methods from sample extraction and derivatization up to data preprocessing and how to perform quality control during metabolomics studies. The current state of method validation and data preprocessing methods used in published literature are discussed and a perspective on the future research necessary to obtain accurate quantitative data from comprehensive GC-MS data is provided. © 2010 The Author(s).