Development and Validation of a Rapid RPA-PfAgo-Based Meat Species Identification System
This study presents a novel detection system combining recombinase polymerase amplification (RPA) with the Argonaute protein from Pyrococcus furiosus ( Pf Ago) for accurate identification of meat species. The RPA- Pf Ago method provides a rapid, sensitive, and specific approach for detecting duck, chicken, beef, pork, and mutton, addressing challenges in food fraud and regulatory compliance. Systematic optimization of key parameters ensures high specificity and sensitivity, with validation against commercial and adulterated samples. This method offers a practical solution for onsite testing, supporting transparency in the food supply chain.
Authors
- Min Lin (ORCID: https://orcid.org/0000-0002-8427-1777)
- Peikui Yang (ORCID: https://orcid.org/0000-0002-7683-8657)
- Yuzhong Zheng (ORCID: https://orcid.org/0000-0001-7208-0642)
- Zhenxia Zhang (ORCID: https://orcid.org/0000-0001-5244-0938)
- Lianghui Chen (ORCID: https://orcid.org/0009-0008-5297-1788)
- Nancy J. Lin
- Yaqun Liu (ORCID: https://orcid.org/0000-0002-9196-167X)
- Yicun Chen (ORCID: https://orcid.org/0000-0002-5500-9833)
- Kang Zhang (ORCID: https://orcid.org/0009-0008-7438-5579)
- Chengsong Xie
- Jialin Wang (ORCID: https://orcid.org/0000-0003-3026-6507)
Institutions
- Shantou University (CN)
- Shantou University Medical College (CN)
- Affiliated Hospital of Youjiang Medical University for Nationalities (CN)
- Hanshan Normal University (CN)
Publication Details
- Journal
- Applied Food Research
- Published
- 2025-08-27
- DOI
- https://doi.org/10.1016/j.afres.2025.101297
- Primary Topic
- Identification and Quantification in Food
- Type
- article
- Field-Weighted Citation Impact
- 0.00