Published April 15, 2021 | Version v1
Journal article Open

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

  • 1. Institute of Applied Biosciences, CERTH
  • 2. Natural History Museum, University of Oslo
  • 3. School of Biology, Aristotle University of Thessaloniki
  • 4. School of Agricultural Sciences, University of Thessaly
  • 1. School of Biology, Aristotle University of Thessaloniki
  • 2. School of Agricultural Sciences, University of Thessaly

Description

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 enhances the reliability of the results.

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Additional details

Funding

European Commission
Plant.ID - Molecular Identification of Plants 765000