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

Détails

ID Serval
serval:BIB_73606BB5B57D
Type
Article: article d'un périodique ou d'un magazine.
Sous-type
Synthèse (review): revue aussi complète que possible des connaissances sur un sujet, rédigée à partir de l'analyse exhaustive des travaux publiés.
Collection
Publications
Institution
Titre
Current approaches and challenges for the metabolite profiling of complex natural extracts.
Périodique
Journal of Chromatography. A
Auteur⸱e⸱s
Wolfender J.L., Marti G., Thomas A., Bertrand S.
ISSN
1873-3778 (Electronic)
ISSN-L
0021-9673
Statut éditorial
Publié
Date de publication
2015
Peer-reviewed
Oui
Volume
1382C
Pages
136-164
Langue
anglais
Notes
Publication types: Publication Status: ppublish; pdf : Review
Résumé
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.
Pubmed
Web of science
Création de la notice
04/12/2014 14:28
Dernière modification de la notice
20/08/2019 14:31
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