Journal of Consumer Protection and Food Safety · 2023 · 12 citations · 22 references
AgricultureBioinformaticsFood ScienceFood AuthenticationFood SafetyMeat ScienceFood Authenticity TestingMeat AuthenticationMeat MicrobiologyMicrobiological Examination Of MeatInterlaboratory ComparisonsMeat Adulteration DetectionMeat Products AuthenticationMeat Species IdentificationMetabarcoding AnalysisNext-generation Sequencing AnalysisNext-generation Sequencing-based DetectionRepresentative Samples
Abstract The German National Reference Centre for Authentic Food (NRZ-Authent) and the competent German food control authorities of the federal states cooperated within the framework of the 10th joint Europol INTERPOL operation OPSON (OPSON X) in the detection of adulterated meat products. A total of 63 meat product samples were collected and analysed by the authorities using standard analytical procedures and subjected to a recently published 16S rDNA metabarcoding analysis. The sequence reads were analysed using 3 bioinformatics data processing strategies. The study aimed to gain additional data on the test samples regarding the authenticity of the declared species and to validate the 16S rDNA metabarcoding method with representative samples. The method was tested not only on 63 test samples, but also on 5 commercial samples from 2 interlaboratory comparison studies and 9 mock mixtures in parallel. The 16S rDNA metabarcoding method was able to detect species that were not target species of the used standard analytical methods, but failed, as shown previously, to detect fallow deer. Otherwise, the qualitative results of the 16S rDNA metabarcoding method were very similar to those of the methods currently in use by the German food control laboratories. Thus, the method has great potential to be used as a screening method for the authentication of mammal and poultry species in meat products.
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