Detection and Quantification of Adulterated Beef and Mutton Products by Multiplex Droplet Digital PCR

Chuan He; Lan Bai; Yifan Chen; Wei Jiang; Junwei Jia; Aihu Pan; Beibei Lv; Xiao Wu

doi:10.3390/foods11193034

Detection and Quantification of Adulterated Beef and Mutton Products by Multiplex Droplet Digital PCR

Foods. 2022 Sep 30;11(19):3034. doi: 10.3390/foods11193034.

Authors

Chuan He^{1

2

3}, Lan Bai^{1

2

3}, Yifan Chen^{1

2

3}, Wei Jiang^{1

2

3}, Junwei Jia^{1

3}, Aihu Pan^{2

3}, Beibei Lv^{1

2

3}, Xiao Wu^{1

2

3}

Affiliations

¹ Biotechnology Research Institute, Shanghai Academy of Agricultural Sciences, Shanghai 201106, China.
² Shanghai Key Laboratory of Agricultural Genetics and Breeding, Shanghai Academy of Agricultural Sciences, Shanghai 201106, China.
³ Crops Ecological Environment Security Inspection and Supervision Center (Shanghai), Ministry of Agriculture and Rural Affairs, Shanghai 201106, China.

Abstract

In order to seek high profit, businesses mix beef and mutton with cheap meat, such as duck, pork, and chicken. Five pairs of primers were designed for quintuple droplet digital PCR (qddPCR) of specific genomic regions from five selected species and specificity and amplification efficiency were determined. The mixed DNA template with an equal copy number was used for detecting the accuracy and limit of multiplex PCR. The results showed that the primers and probes of the five selected species had good specificity with the minimum number of detection copies: 0.15 copies/µL beef (Bos taurus), 0.28 copies/μL duck (Anas platyrhynchos), 0.37 copies/μL pork (Sus scrofa), 0.39 copies/μL chicken (Gallus gallus), and 0.41 copies/μL mutton (Ovis aries), respectively. The five sets of primers and probes could quickly judge whether the specified meat components existed in the food commodities.

Keywords: droplet digital PCR; food quality control; meat adulteration; nucleic acid detection; quantification.

Grants and funding

This work was supported by Shanghai Agriculture Applied Technology Development Program (Grant No. G2021-02-08-00-12-F00768), Open Research Fund of Shanghai Key Laboratory of Agricultural Genetics and Breeding (Grant No. KFKT2021-03), SAAS Program for Excellent Research Team (Grant No. 2022-B-016), Program of Shanghai Science and Technology Innovation Action Plan (Grant No. 21N31901100).