Chromatographic fingerprint analysis of metabolites in natural and artificial agarwood using gas chromatography-mass spectrometry combined with chemometric methods

J Chromatogr B Analyt Technol Biomed Life Sci. 2014 Sep 15:967:264-73. doi: 10.1016/j.jchromb.2014.07.039. Epub 2014 Aug 4.

Abstract

Agarwood is a resinous material formed in wounded Aquilaria sinensis in China, which is widely used as an effective traditional Chinese medicine (TCM). This study is aimed to use gas chromatography-mass spectrometry combined with chemometric methods to create reliable criteria for accurate identification of natural agarwood and artificial agarwood, as well as for quality evaluation of artificial agarwood. Natural agarwood and artificial agarwood (stimulated by formic acid or formic acid plus fungal inoculation) were used as standards and controls for the gas chromatography-mass spectrometry (GC-MS) and multivariate analysis. The identification criteria developed were applied to commercial agarwood. A reliable criteria including correlation coefficient of GC-MS fingerprint of natural agarwood and 22 markers of metabolism in natural and artificial agarwood was constructed. Compared with chemically stimulated agarwood (formic acid) and in terms of the 22 markers, artificial agarwood obtained by formic acid stimulation and fungal inoculation were much closer to natural agarwood. The study demonstrates that the chemical components of artificial agarwood obtained by comprehensive stimulated method (formic acid plus fungal inoculation) are much closer to the natural agarwood than those obtained by chemically stimulated method (formic acid), as times goes by. A reliable criteria containing correlation coefficient of GC-MS fingerprint of natural agarwood and 22 metabolism markers can be used to evaluate the quality of the agarwood. As an application case, three samples were identified as natural agarwood from the 25 commercial agarwood by using the evaluation method.

Keywords: Agarwood; Aquilaria sinensis (Lour.) Gilg; Chromatographic fingerprinting; Multivariate analysis.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Biomarkers / analysis
  • Biomarkers / chemistry
  • Gas Chromatography-Mass Spectrometry / methods*
  • Multivariate Analysis
  • Principal Component Analysis
  • Reproducibility of Results
  • Sensitivity and Specificity
  • Thymelaeaceae / chemistry*
  • Thymelaeaceae / metabolism
  • Wood / chemistry*

Substances

  • Biomarkers