Literature DB >> 25464997

Current approaches and challenges for the metabolite profiling of complex natural extracts.

Jean-Luc Wolfender1, Guillaume Marti2, Aurélien Thomas3, Samuel Bertrand4.   

Abstract

Metabolite profiling is critical in many aspects of the life sciences, particularly natural product research. Obtaining precise information on the chemical composition of complex natural extracts (metabolomes) that are primarily obtained from plants or microorganisms is a challenging task that requires sophisticated, advanced analytical methods. In this respect, significant advances in hyphenated chromatographic techniques (LC-MS, GC-MS and LC-NMR in particular), as well as data mining and processing methods, have occurred over the last decade. Together, these tools, in combination with bioassay profiling methods, serve an important role in metabolomics for the purposes of both peak annotation and dereplication in natural product research. In this review, a survey of the techniques that are used for generic and comprehensive profiling of secondary metabolites in natural extracts is provided. The various approaches (chromatographic methods: LC-MS, GC-MS, and LC-NMR and direct spectroscopic methods: NMR and DIMS) are discussed with respect to their resolution and sensitivity for extract profiling. In addition the structural information that can be generated through these techniques or in combination, is compared in relation to the identification of metabolites in complex mixtures. Analytical strategies with applications to natural extracts and novel methods that have strong potential, regardless of how often they are used, are discussed with respect to their potential applications and future trends.
Copyright © 2014 Elsevier B.V. All rights reserved.

Keywords:  Liquid chromatography; Mass spectrometry and NMR; Metabolite annotation and identification; Metabolite profiling and fingerprinting; Metabolomics; Natural products

Mesh:

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Year:  2014        PMID: 25464997     DOI: 10.1016/j.chroma.2014.10.091

Source DB:  PubMed          Journal:  J Chromatogr A        ISSN: 0021-9673            Impact factor:   4.759


  73 in total

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