Evidence map›Paper›PMID 41300033›Full record

ArticleFoods (Basel, Switzerland)2025

Establishing a Detection Method Based on Multiplex PCR for Identification of Sheep Meat, Goat Meat and Common Adulterant Meats.

Yanbing Yang, Kai Quan, Huiguo Yang, Yuxuan Song, Xiyun Zhang, Bo Wang, Xiaoyang Lv, Wei Sun

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Yanbing YangCollege of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China.
Kai QuanCollege of Animal Science and Technology, Henan University of Animal Husbandry and Economics, Zhengzhou 450046, China.ORCID 0000-0002-0015-8663
Huiguo YangInstitute of Animal Husbandry, Xinjiang Academy of Animal Sciences, Urumqi 830013, China.
Yuxuan SongCollege of Animal Science and Technology, Northwest A&F University, Yangling 712100, China.
Xiyun ZhangGansu Yuansheng Agriculture & Animal Husbandry Technology Co., Ltd., Jinchang 737200, China.
Bo WangCollege of Food Science and Engineering, Yangzhou University, Yangzhou 225127, China.ORCID 0009-0005-6104-4327
Xiaoyang LvJoint International Research Laboratory of Agriculture and Agri-Product Safety of Ministry of Education, Yangzhou University, Yangzhou 225009, China.
Wei SunCollege of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China.

Funding

Jiangshu 333 Distinguished Talents Project Foundation [(2022) 2-323]Jiangsu Agricultural Science and Technology Innovation Fund (CX (23)1036)the National Natural Science Foundation of China (32573168)the Natural Science Foundation of the Jiangsu Higher Education Institutions of China (22KJA230001)the Project of Jiangsu Innovation Support Programme for International Science and Technology Cooperation - "Belt and Road" Innovation Cooperation (BZ2023009)
6 · The paper itself

Abstract

This study aimed to establish a multiplex PCR identification system capable of rapidly detecting adulteration in sheep and goat meat, while qualitatively identifying common adulterant meats (pork, chicken, and duck). Species-specific primers targeting mitochondrial DNA sequences were designed after screening for gene fragments with intraspecies conservation and interspecies specificity across five target species. The multiplex PCR conditions and system were systematically optimized and evaluated for specificity, reproducibility, sensitivity, and practical applicability using simulated mixed samples and heat-treated products. The results demonstrated that the system could successfully identify sheep meat, goat meat, and adulterant meat components in randomly combined target meat template DNAs with excellent reproducibility. The system maintained a high sensitivity, detecting target species even at low DNA template concentrations and in samples with low adulteration ratios. Moreover, target meat components remained detectable in heat-treated products, confirming the system's robustness under realistic market conditions. This multiplex PCR identification system demonstrates strong specificity, good reproducibility, high sensitivity, and broad applicability. It provides an important tool for effectively monitoring sheep and goat meat adulteration and offers crucial technical support for ensuring the authenticity of sheep and goat meat.

Indexed as

authenticitymitochondrial complete genome sequencesqualitatively identifyspecies-specific primers

Identifiers

PMID41300033
PMCPMC12651884

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.