Publication | Open Access
Species identification and quantification in meat and meat products using droplet digital PCR (ddPCR)
181
Citations
19
References
2014
Year
Food ForensicsGeneticsDna AnalysisMeat ScienceGenomicsMeat QualityDroplet Digital PcrDna BarcodingFood AuthenticationMolecular EcologyBioanalysisMeat ProductsBiostatisticsSpecies FraudMitochondrial DnaSpecies IdentificationHealth SciencesStatistical GeneticsFood QualityBioinformaticsFood SafetyMeat PackagingBiologySpecies QuantificationAnimal ScienceNucleic Acid AmplificationMedicineGenome Editing
Species fraud and product mislabelling in processed food, albeit not being a direct health issue, often results in consumer distrust. Therefore methods for quantification of undeclared species are needed. Targeting mitochondrial DNA, e.g. CYTB gene, for species quantification is unsuitable, due to a fivefold inter-tissue variation in mtDNA content per cell resulting in either an under- (-70%) or overestimation (+160%) of species DNA contents. Here, we describe a reliable two-step droplet digital PCR (ddPCR) assay targeting the nuclear F2 gene for precise quantification of cattle, horse, and pig in processed meat products. The ddPCR assay is advantageous over qPCR showing a limit of quantification (LOQ) and detection (LOD) in different meat products of 0.01% and 0.001%, respectively. The specificity was verified in 14 different species. Hence, determining F2 in food by ddPCR can be recommended for quality assurance and control in production systems.
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