Abstract
Meat products often consist of meat from multiple animal species, and inaccurate food product adulteration and mislabeling can negatively affect consumers. Therefore, a cost-effective and reliable method for identification and quantification of animal species in meat products is required. In this study, we developed a duplex droplet digital PCR (dddPCR) detection and quantification system to simultaneously identify and quantify the source of meat in samples containing a mixture of beef (Bos taurus) and pork (Sus scrofa) in a single digital PCR reaction tube. Mixed meat samples of known composition were used to test the accuracy and applicability of this method. The limit of detection (LOD) and the limit of quantification (LOQ) of this detection and quantification system were also identified. We conclude that our dddPCR detection and quantification system is suitable for quality control and routine analyses of meat products.
Highlights
The food safety standards of the European Union require that meat products be labeled with accurate and detailed information, including the composition and percentage of meat from different source species [1]
Due to the similar histological structure of different meat products, the common consumer is not able to readily distinguish or identify improperly labeled composition or proportion in mixed meat products. quantitative polymerase chain reaction (qPCR) is the most commonly used method for quantification of animal materials in mixed meat products; it is recommended that standard curves be prepared and tested every time by using serial dilutions of DNA extracted from reference material
We report the establishment of a novel duplex droplet digital polymerase chain reaction (PCR) (dddPCR) method for the simultaneous quantification of beef and pork materials in food and meat products
Summary
The food safety standards of the European Union require that meat products be labeled with accurate and detailed information, including the composition and percentage of meat from different source species [1]. Incidents of adulteration increase consumer health and safety risks; accurate methods for detection and quantification of adulterated meat products are required. There are several routinely used methods for the detection and quantification of adulterated meat products [4,5,6]. For detection and quantification of nucleic acids, polymerase chain reaction (PCR) systems including conventional PCR [10, 11], quantitative polymerase chain reaction (qPCR) [12, 13], LAMP method [14], and droplet digital PCR (ddPCR) [15,16,17] have been used.
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