4.6 Article

Metabarcoding reveals low fidelity and presence of toxic species in short chain-of-commercialization of herbal products

期刊

出版社

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jfca.2020.103767

关键词

Adulteration; Authentication; Bar-HRM; DNA metabarcoding; Herbal products; ITS2; Toxic plants

资金

  1. H2020-MSCA-ITN-ETN
  2. European Union [765000]
  3. Marie Curie Actions (MSCA) [765000] Funding Source: Marie Curie Actions (MSCA)

向作者/读者索取更多资源

The popularity of herbal medicinal products is increasing, but a lack of regulation leads to serious adulteration issues, including a high level of adulteration and/or contamination in some products. The study found that some herbal products contained unlabelled ingredients, as well as toxic species and ingredients that may pose concerns for individuals with gluten intolerance.
Herbal medicinal products gain increasing popularity. The growing demand for herbal medicine along with a lack of regulation render herbal products subject to intentional adulteration. The substitution of costly ingredients with unlabelled plant-based fillers of inferior quality has been widely reported. Such fraudulent practices erode consumer trust, but can also pose serious health risks. In this work, 71 herbal medicinal products were randomly purchased from Greek markets and analysed using ITS2 metabarcoding for species identification. The aim was to investigate possible adulterations and assess the efficacy of metabarcoding in plant-based product authentication. Of the 131 detected species in our analyses, 87 were not listed on the product labels. This indicates a high level of adulteration and/or contamination during processing and distribution. Two toxic species, Chelidonium majus and Nicotiana tabacum, were also detected as major ingredients of two herbal mixtures for medicinal purposes. Furthermore, the detection of wheat in eight samples raises concerns for people with gluten intolerance. This study stresses the need for stricter quality control of herbal products. In addition, to overcome the limitations of metabarcoding and augment the approach we used Bar-HRM for the first time as a verification tool. The combination of metabarcoding with species-specific Bar-HRM analysis can enhance the reliability of the results.

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