Halal products are growing in consumer markets worldwide, and pork meat is classified as non-halal. Manufacturers of processed foods and products must ensure that their products follow Islamic dietary law because pork is prohibited for Muslims. Droplet digital polymerase chain reaction (PCR) (ddPCR) is a novel method for identifying pig species and quantifying pork products. This experiment aimed to investigate pork species and establish the proportion of pork in meat products using the mitochondrial cytochrome b gene (CYTB). The study found that the correlation coefficient between the meat weight and DNA concentration of pork was 0.997, and the correlation coefficient between the DNA concentration and the target DNA copy number of pork was 0.998. The accuracy of the ddPCR assay was verified using a sample of a known proportion of pork, and it was revealed that this method is highly precise in quantifying pork products. Nine products contained an undeclared meat proportion (90%). The limit of detection for pork was 0.0001 ng. The analysis indicated that the ddPCR assay has high accuracy and sensitivity for quantifying pork products. Therefore, the predictive model can be used in routine laboratories for quality assurance of halal food products.
Keywords: ddPCR; pig; pork products; species identification.
© 2021 Japanese Society of Animal Science.