Literature DB >> 30651163

Specific Identification of the Adulterated Components in Beef or Mutton Meats Using Multiplex PCR.

Xinnan Li1, Yifu Guan1.   

Abstract

Background: The fraudulent substitution of cheap and low-quality meat for expensive and good-quality meats to gain profit is a common practice in industries worldwide. Adulteration of fox, raccoon, or mink in commercial beef and mutton meat in the supermarket has become a serious problem. Objective: To ensure the meat quality and safety, we have developed a multiplex PCR method to identify the fox, mink, and raccoon components adulterated in beef or mutton with very low detection limits.
Methods: PCR primers were designed and tested by examining the size of PCR product, the nuclease digestion products, and DNA sequencing.
Results: After primer interference tests, we have established a double PCR method that can clearly identify fox, mink, or raccoon components in beef meat and mutton meat at the 1% (w/w) level. Triplex PCR and quadruple PCR have been also developed, which are able to identify any two types of components or three mixed components in beef meat unambiguously. Conclusions: We have developed multiplex PCR systems. The duplex PCR systems can identify one component (fox, raccoon, or mink) adulterated in beef meat or mutton meat without question, and triplex PCR and quadruple PCR can discriminate two components and three components adulterated in beef meat. Highlights: These methods are convenient, low-cost, highly specific and reliable, and of a great value for meat quality control and food safety quarantine.

Entities:  

Year:  2019        PMID: 30651163     DOI: 10.5740/jaoacint.18-0338

Source DB:  PubMed          Journal:  J AOAC Int        ISSN: 1060-3271            Impact factor:   1.913


  4 in total

1.  An Inexpensive CRISPR-Based Point-of-Care Test for the Identification of Meat Species and Meat Products.

Authors:  Dagang Tao; Xiao Xiao; Xiaochen Lan; Bingrong Xu; Yuan Wang; Emmanuel Mulaya Khazalwa; Wenya Pan; Jinxue Ruan; Yu Jiang; Xiangdong Liu; Changchun Li; Ruizhen Ye; Xinyun Li; Jing Xu; Shuhong Zhao; Shengsong Xie
Journal:  Genes (Basel)       Date:  2022-05-19       Impact factor: 4.141

2.  Molecular Authentication of Twelve Meat Species Through a Promising Two-Tube Hexaplex Polymerase Chain Reaction Technique.

Authors:  Zhendong Cai; Guowei Zhong; Qianqian Liu; Xingqiao Yang; Xiaoxia Zhang; Song Zhou; Xiaoqun Zeng; Zhen Wu; Daodong Pan
Journal:  Front Nutr       Date:  2022-03-24

3.  A Machine Learning Method for the Quantitative Detection of Adulterated Meat Using a MOS-Based E-Nose.

Authors:  Changquan Huang; Yu Gu
Journal:  Foods       Date:  2022-02-20

4.  A Simple and Reliable Single Tube Septuple PCR Assay for Simultaneous Identification of Seven Meat Species.

Authors:  Zhendong Cai; Song Zhou; Qianqian Liu; Hui Ma; Xinyi Yuan; Jiaqi Gao; Jinxuan Cao; Daodong Pan
Journal:  Foods       Date:  2021-05-13
  4 in total

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