ArticleNPJ science of food2023
Meat food fraud risk in Chinese markets 2012-2021.
Article in NPJ science of food, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- DNA-based one-pot rapid biosensing platform integrating turn-back loop primer-accelerated LAMP andJournal of Zhejiang University. Science. B · 2026Article
- Dynamic linkages between chicken meat production, consumption, income and trade: Evidence from Wavelet coherence and Granger causality in Asia.Poultry science · 2026Article
- A fully integrated magnetofluidic system enabled by a wax phase barrier for automated multiplex meat adulteration detection.Microsystems & nanoengineering · 2026Article
- Addressing species identification of 12 animals and human beings with two novel assays.International journal of legal medicine · 2026Article
- Establishing a Detection Method Based on Multiplex PCR for Identification of Sheep Meat, Goat Meat and Common Adulterant Meats.Foods (Basel, Switzerland) · 2025Article
- Novel CRISPR/Cas12-based assay for the rapid and accurate detection of donkey meat.Open veterinary journal · 2025Article
- Deep Learning-Enhanced Spectroscopic Technologies for Food Quality Assessment: Convergence and Emerging Frontiers.Foods (Basel, Switzerland) · 2025Review
- Supplier Risk Assessment-A Quantitative Tool for the Identification of Reliable Suppliers to Enhance Food Safety Across the Supply Chain.Foods (Basel, Switzerland) · 2025Article
- Direct lysis combined with amplification-free CRISPR/Cas12a-SERS genosensor for ultrafast and on-site identification of meat authenticity.Mikrochimica acta · 2025Article
- Non-destructive identification of commercial jerky types based on multi-band hyperspectral imaging with machine learning.Food chemistry: X · 2025Article
- A multiplex DNA probe-based method for simultaneous identification of adulteration in meat samples.Food chemistry. Molecular sciences · 2024Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Food fraud is a major concern worldwide, and the majority of cases include meat adulteration or fraud. Many incidences of food fraud have been identified for meat products both in China and abroad over the last decade. We created a meat food fraud risk database compiled from 1987 pieces of information recorded by official circular information and media reports in China from 2012 to 2021. The data covered livestock, poultry, by-products, and various processed meat products. We conducted a summary analysis of meat food fraud incidents by researching fraud types, regional distribution, adulterants and categories involved, categories and sub-categories of foods, risk links and locations, etc. The findings can be used not only to analyze meat food safety situations and study the burden of food fraud but also help to promote the efficiency of detection and rapid screening, along with improving prevention and regulation of adulteration in the meat supply chain markets.
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Registered trials
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