title: Modern analytical techniques in metabolomics analysis.
abstract: Metabolomics is the comprehensive assessment of endogenous metabolites and attempts to systematically identify and quantify metabolites from a biological sample. Small-molecule metabolites have an important role in biological systems and represent attractive candidates to understand disease phenotypes. Metabolites represent a diverse group of low-molecular-weight structures including lipids, amino acids, peptides, nucleic acids, organic acids, vitamins, thiols and carbohydrates, which makes global analysis a difficult challenge. The recent rapid development of a range of analytical platforms, including GC, HPLC, UPLC, CE coupled to MS and NMR spectroscopy, could enable separation, detection, characterization and quantification of such metabolites and related metabolic pathways. Owing to the complexity of the metabolome and the diverse properties of metabolites, no single analytical platform can be applied to detect all metabolites in a biological sample. The combined use of modern instrumental analytical approaches has unravelled the ideal outcomes in metabolomics, and is beneficial to increase the coverage of detected metabolites that can not be achieved by single-analysis techniques. Integrated platforms have been frequently used to provide sensitive and reliable detection of thousands of metabolites in a biofluid sample. Continued development of these analytical platforms will accelerate widespread use and integration of metabolomics into systems biology. Here, the application of each hyphenated technique is discussed and its strengths and limitations are discussed with selected illustrative examples; furthermore, this review comprehensively highlights the role of integrated tools in metabolomic research.
authors: National TCM Key Lab of Serum Pharmacochemistry, Heilongjiang University of Chinese Medicine, Harbin, 150040, China.
authors: Aihua
authors: A
authors: Zhang
authors: Hui
authors: H
authors: Sun
authors: Ping
authors: P
authors: Wang
authors: Ying
authors: Y
authors: Han
authors: Xijun
authors: X
authors: Wang
mesh_terms: D000818:Animals; D006801:Humans; D053858:Metabolic Networks and Pathways; D055432:Metabolomics / Q000295:instrumentation* / Q000379:methods*