Metabolomics approach for the discrimination of raw and steamed Gastrodia elata using liquid chromatography quadrupole time-of-flight mass spectrometry

Jaeyoung Kwon, Nahyun Kim, Dong Hyuk Lee, Ah Reum Han, Jae Won Lee, Eun Kyoung Seo, Je Hyun Lee, Dongho Lee

Research output: Contribution to journalArticle

20 Citations (Scopus)

Abstract

A liquid chromatography quadrupole time-of-flight mass spectrometry-based metabolomics approach was applied to metabolite profiling of Gastrodia elata in order to identify raw and steamed G. elata and explore potential biomarkers for each processing state. A statistical classification method, significant analysis of microarrays, was used to select influential metabolites from the different forms. Through metabolite selection, several potential biomarkers were determined and assigned by matching mass information with that of reference compounds or by comparing it with data in the literature. Furthermore, the developed method was cross-checked using two validation procedures. The first validation was performed simultaneously with the metabolite profiling of G. elata using all detected metabolites, and the second was performed after the metabolite profiling using representative standard compounds of G. elata. Overall, this study can be applied to quality assurance of G. elata.

Original languageEnglish
Pages (from-to)132-138
Number of pages7
JournalJournal of Pharmaceutical and Biomedical Analysis
Volume94
DOIs
Publication statusPublished - 2014 Jun

Keywords

  • Chemical marker
  • Gastrodia elata
  • LC/QTOFMS
  • Metabolite profiling
  • Method validation

ASJC Scopus subject areas

  • Analytical Chemistry
  • Pharmaceutical Science
  • Drug Discovery
  • Spectroscopy
  • Clinical Biochemistry

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