Journal
PHYTOCHEMISTRY
Volume 62, Issue 6, Pages 949-957Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/S0031-9422(02)00705-7
Keywords
Arabidopsis thaliana; NMR spectroscopy; metabolomics; multivariate analysis; principal component analysis; metabolite fingerprints
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Funding
- Biotechnology and Biological Sciences Research Council [G18889] Funding Source: researchfish
- Biotechnology and Biological Sciences Research Council [G18889] Funding Source: Medline
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An approach to metabolite fingerprinting of crude plant extracts that utilizes (1)H nuclear magnetic resonance (NMR) spectroscopy and multivariate statistics has been tested. Using ecotypes of Arabidopsis thaliana as experimental material, a method has been developed for the rapid analysis of unfractionated polar plant extracts, enabling the creation of reproducible metabolite fingerprints. These fingerprints could be readily stored and compared by a variety of chemometric methods. Comparison by principal component analysis using SIMCA-P allowed the generation of residual NMR spectra of the compounds that contributed significantly to the differences between samples. From these plots, conclusions were drawn with respect to the identity and relative levels of metabolites differing between samples. (C) 2003 Elsevier Science Ltd. All rights reserved.
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