Detection and quantification of beef and pork materials in meat products by duplex droplet digital PCR

نویسندگان

  • Yicun Cai
  • Yuping He
  • Rong Lv
  • Hongchao Chen
  • Qiang Wang
  • Liangwen Pan
چکیده

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.

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عنوان ژورنال:

دوره 12  شماره 

صفحات  -

تاریخ انتشار 2017