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Metabolomic analysis of Echinacea spp. by 1 H nuclear magnetic resonance spectrometry and multivariate data analysis technique
Author(s) -
Frédérich Michel,
Jansen Céline,
de Tullio Pascal,
Tits Monique,
Demoulin Vincent,
Angenot Luc
Publication year - 2009
Publication title -
phytochemical analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.574
H-Index - 72
eISSN - 1099-1565
pISSN - 0958-0344
DOI - 10.1002/pca.1156
Subject(s) - echinacea (animal) , metabolomics , chemistry , multivariate analysis , multivariate statistics , nuclear magnetic resonance spectroscopy , traditional medicine , botany , chromatography , stereochemistry , biology , medicine , statistics , mathematics , machine learning , computer science
– The genus Echinacea ( Asteraceae ) comprises about 10 species originally distributed in North America. Three species are very well known as they are used worldwide as medicinal plants: Echinacea purpurea , E. pallida , E. angustifolia . Objective – To discriminate between these three Echinacea species and E. simulata by 1 H NMR‐based metabolomics. Methodology – 1 H NMR and multivariate analysis techniques were applied to diverse Echinacea plants including roots and aerial parts, authentic plants, commercial plants and commercial dry extracts. Results – Using the 1 H NMR metabolomics, it was possible, without previous evaporation or separation steps, to obtain a metabolic fingerprint to distinguish between species. Conclusion – A clear distinction between the three pharmaceutical species was possible and some useful metabolites were identified. Copyright © 2009 John Wiley & Sons, Ltd.