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Publishing Language: Chinese | Open Access

Quantification of Bovine-Derived Ingredients in Meat Products by Duplex Droplet Digital Polymerase Chain Reaction

Suyue XIONG Jiapeng LI ( )Jinchun LIYixuan WEISuigen XURuixi LIUXi CHENShouwei WANG ( )Chao QUXiaoling QIAO
Beijing Key Laboratory of Meat Processing Technology, China Meat Processing and Engineering Center, Beijing Academy of Food Sciences, China Meat Research Center, Beijing 100068, China
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Abstract

One typical way of meat adulteration is by adding low-priced meat ingredients into high-priced meat products. In this study, a duplex droplet digital polymerase chain reaction (ddPCR) method was developed to accurately identify bovinederived ingredients in meat products. By analyzing the single-copy β-actin gene sequences of 14 animal species, bovinespecific primers and probes as well as universal primers and probes for animal-derived ingredients were designed to develop a duplex ddPCR system. The formula to calculate the relationship between the mass of bovine-derived ingredients (M, mg) and the number of copies of specifically amplified genes (C, copies/μL) was established as follows: M = 0.033C + 2.37. The results of this method for mixed meat samples containing a known amount of beef and different beef cuts basically agreed with the actual values. Moreover, the relative copy number was helpful to judge whether beef products could be adulterated with non-bovine-derived ingredients. The developed method was successfully applied to detect the adulteration of commercial beef products. We believe that this method will provide technical support for the quantitative detection of adulterated beef products and grading and identification of meat mixtures from different animal specices.

CLC number: TS207.3 Document code: A Article ID: 1002-6630(2022)24-0318-07

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Food Science
Pages 318-324

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Cite this article:
XIONG S, LI J, LI J, et al. Quantification of Bovine-Derived Ingredients in Meat Products by Duplex Droplet Digital Polymerase Chain Reaction. Food Science, 2022, 43(24): 318-324. https://doi.org/10.7506/spkx1002-6630-20211123-289

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Received: 23 November 2021
Published: 25 December 2022
© Beijing Academy of Food Sciences 2022.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).