Duplex PCR approach for the detection and quantification of donkey,horse and mule in raw and heat‐processed meat products |
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| Authors: | Ailiang Chen Chengbin Wei Gang Chen Yan Zhao Shuming Yang |
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| Affiliation: | 1. Institute of Quality Standards & Testing Technology for Agro‐Products, Key Laboratory of Agro‐product Quality and Safety, Chinese Academy of Agricultural Sciences, Beijing, China;2. Key Laboratory of Agri‐Food Quality and Safety, Ministry of Agriculture, Beijing, China;3. Institute for Animal Husbandry and Veterinary Research, Henan Academy of Agriculture Science, Zhengzhou, China |
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| Abstract: | Donkey‐related products have been paid more attention for their high nutritional value to human beings. Due to donkey resource scarcity, coupled with gradually increasing market demand, adulterated donkey meat products with other low‐cost animal meat, especially with the similar species horse and mule, are often found in market. Therefore, detection of species fraud in donkey meat products is important for consumer protection and food industries. In this study, a simple and highly specific duplex PCR method, based on the simultaneous amplification of fragments of the mitochondrial ATP synthase subunit 8/6 and ND2, was developed and optimised for the identification of horse, donkey and mule species in raw and heat‐processed meat products. To the best of our knowledge, it was the first time for this strategy applied to these three genetically related animal meat products differentiation to date. The duplex PCR generated a 153‐bp and 83‐bp amplification products for horse and donkey, respectively. While for mule, both of the two length amplification products are appeared on the agarose gel. Target meat species could be detected at a level of 1%, and the results indicated that the duplex PCR assay could be used in the authentification of donkey‐related products with high specificity, cost‐effectiveness and simplicity. |
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| Keywords: | Duplex polymerase chain reaction meat adulterations raw and heat‐processed meat products species identification |
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