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Articles

Development and validation of a rapid kit for authenticity of murine meat in meat products with a species-specific PCR assay

, , , , ORCID Icon, & show all
Pages 552-560
Received 04 Sep 2019
Accepted 06 Jan 2020
Published online: 10 Feb 2020

ABSTRACT

Adulteration of meat products with murine meat poses a huge threat to consumer health and leads to serious disruption in food markets. Species authentication of murine meat is still technically challenging. We, therefore, developed a species-specific PCR kit consisting of murine meat DNA extraction, PCR reaction and identifying systems. We designed novel universal primers targeting highly conserved region on mitochondrial cytochrome b gene (cyt b) from four murines (lab rats, lab mice, wild rat and wild mice), as well as specific primers for meat from four widely consumed animal species, cattle, sheep, duck and donkey. Simultaneously, pasmid inserted specific cyt b fragment was cloned and used as the internal positve control in the kit. The kit parameters of specificity, sensitivity, stability and validity were determined using mimic counterfeiting meatball. The specificity of the DNA detection kit was 100% in authentication of the four fraudulent meats of cattle, sheep, duck and donkey mixed murine meat. The minimum detection limit of the sample DNA was 0.1 μg. The kit, which had freeze-thawed up to 20 times and stored for 1 year, also was powerful in detecting an amount of 0.1 mg in artificial counterfeited cattle, sheep, duck and donkey meat products. The murine-species DNA detection kit proposed in this study has proved to be a simple, accurate and effective assay, and can be applied to the identification of murine meat traces in common edible meat, to ensure the realisable implementation of meat product market supervision.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

The present project was a part of Science and Technology Development Program of Jilin, China (20190304101YY), (20190301014NY). The project was received financial support from the Creative Funding Program of Beihua University for graduate students (2018-007).

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