Metabolomic strategy for the classification and quality control of phytomedicine: A case study of chamomile flower (Matricaria recutita L.)

Yulan Wang*, Huiru Tang, Jeremy K. Nicholson, Peter J. Hylands, Julia Sampson, Ian Whitcombe, Christopher G. Stewart, Steve Caiger, Isaac Oru, Elaine Holmes

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

108 Citations (Scopus)

Abstract

In order to improve the accuracy and consistency of control phytomedicine preparations worldwide, regulatory authorities are requesting research into new analytical methods for the stricter standardisation of phytomedicines. Such methods have to be both objective and robust, and should address the reproducibility of the content of the chemical profiles. NMR-based metabolomics, which combines high-resolution 1H-NMR spectroscopy with chemometric analysis, has been employed as an innovative way to meet those demands. In this paper, chamomile flowers from three different geographical regions, namely, Egypt, Hungary and Slovakia were characterised using 1H-NMR spectroscopy followed by principal component analysis. It was found that the origin, purity and preparation methods contributed to the differences observed in prepared chamomile extracts. In addition, this method also enabled the elucidation of the molecular information embedded in the spectra responsible for the observed variability. The metabolomic strategy employed in the current study should provide an efficient tool for the quality control and authentication of phytomedicines.

Original languageEnglish
Pages (from-to)250-255
Number of pages6
JournalPlanta Medica
Volume70
Issue number3
DOIs
Publication statusPublished - Mar 2004
Externally publishedYes

ASJC Scopus Subject Areas

  • Analytical Chemistry
  • Molecular Medicine
  • Pharmacology
  • Pharmaceutical Science
  • Drug Discovery
  • Complementary and alternative medicine
  • Organic Chemistry

Keywords

  • Authentication
  • Chamomile flower
  • Matricaria recutita L.
  • NMR-based metabolomics
  • Phytomedicines
  • Principal component analysis
  • Quality control

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