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Duplex PCR approach for the detection and quantification of donkey, horse and mule in raw and heat-processed meat products

文献类型: 外文期刊

作者: Chen, Ailiang 1 ; Wei, Chengbin 3 ; Chen, Gang 1 ; Zhao, Yan 1 ; Yang, Shuming 1 ;

作者机构: 1.Chinese Acad Agr Sci, Key Lab Agroprod Qual & Safety, Inst Qual Stand & Testing Technol Agroprod, Beijing 100081, Peoples R China

2.Minist Agr, Key Lab Agrifood Qual & Safety, Beijing 100081, Peoples R China

3.Henan Acad Agr Sci, Inst Anim Husb & Vet Res, Zhengzhou 450002, Peoples R China

关键词: Duplex polymerase chain reaction;meat adulterations;raw and heat-processed meat products;species identification

期刊名称:INTERNATIONAL JOURNAL OF FOOD SCIENCE AND TECHNOLOGY ( 2020影响因子:3.713; 五年影响因子:3.408 )

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收录情况: SCI

摘要: 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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