4.7 Article

Detection of adulteration in Hydrastis canadensis (goldenseal) dietary supplements via untargeted mass spectrometry-based metabolomics

期刊

FOOD AND CHEMICAL TOXICOLOGY
卷 120, 期 -, 页码 439-447

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.fct.2018.07.033

关键词

Metabolomics; Goldenseal; Adulteration; Dietary supplements; Mass spectrometry

资金

  1. National Institutes of Health National Center for Complementary and Integrative Health (NIH NCCIH)
  2. Center of Excellence for Natural Product Drug Interaction Research (NaPDI) [U54AT008909]
  3. National Center for Complementary & Integrative Health [U54AT008909] Funding Source: NIH RePORTER

向作者/读者索取更多资源

Current estimates report that approximately 25% of U.S. adults use dietary supplements for medicinal purposes. Yet, regulation and transparency within the dietary supplement industry remains a challenge, and economic incentives encourage adulteration or augmentation of botanical dietary supplement products. Undisclosed changes to the dietary supplement composition could impact safety and efficacy; thus, there is a continued need to monitor possible botanical adulteration or mis-identification. Goldenseal, Hydrastis canadensis L. (Ranunculaceae), is a well-known botanical used to combat bacterial infections and digestive problems and is widely available as a dietary supplement. The goal of this study was to evaluate potential adulteration in commercial botanical products using untargeted metabolomics, with H. canadensis supplements serving as a test case. An untargeted ultraperformance liquid chromatography-mass spectrometry (LC-MS) metabolomics analysis was performed on 35 H. canadensis commercial products. Visual inspection of the chemometric data via principal component analysis (PCA) revealed several products that were distinct from the main groupings of samples, and subsequent evaluation of contributing metabolites led to their confirmation of the outliers as originating from a non-goldenseal species or a mixture of plant materials. The obtained results demonstrate the potential for untargeted metabolomics to discriminate between multiple unknown products and predict possible adulteration.

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