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Assessment of Polygonum capitatum Buch.-Ham. ex D.Don by metabolomics based on gas chromatography with mass spectrometry

Research output: Contribution to journalArticle

Original languageEnglish
JournalJOURNAL OF SEPARATION SCIENCE
Early online date15 Mar 2016
DOIs
Publication statusE-pub ahead of print - 15 Mar 2016

King's Authors

Abstract

Polygonum capitatum is widely used in southwest China. It has considerable therapeutic efficacy to urinary tract infections. P.capitatum contains multiple components and quality assessment can incorporate the information of many metabolites by means of metabolic fingerprinting. In this paper, a new strategy for P.capitatum quality determination was developed. Eleven batches of P.capitatum were collected from five geographical areas in China including a standard batch regulated by Good Agriculture Practice. Gas chromatography with mass spectrometry was used to generate fingerprints from triplicate extractions to each batch (n = 33). Hierarchical clustering analysis was applied to assess similarities among the ten batches to the standard batches. Orthogonal projection to latent structures discriminate analysis, cross-validated with permutation tests, was performed to investigate discriminating metabolites. Results demonstrated that the overall evaluation hierarchical clustering analysis clustered two batches with distance > 3. Orthogonal projection to latent structures discriminate analysis (R(2) Y (cum) = 0.997, Q(2) (cum) = 0.97, CV-ANOVA = 8.48×10(-11) ) indicated that several sugars contributed to batch classification. This method is a rational approach that can classify against a regulated plant standard and distinguishes samples from different origins or processing time in a holistic manner and metabolites driving any differences can be easily identified. This article is protected by copyright. All rights reserved.

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