王文枝,范 超,张 越,沈雪梅,蒋萍萍.国内外食品欺诈研究进展及启示[J].食品安全质量检测学报,2025,16(12):25-33 |
国内外食品欺诈研究进展及启示 |
Research progress and enlightenments on food fraud at home and abroad |
投稿时间:2024-12-18 修订日期:2025-05-30 |
DOI: |
中文关键词: 食品欺诈 食品掺假 脆弱性评估 欺诈检测 |
英文关键词:food fraud food adulteration vulnerability assessment |
基金项目:“十四五”国家重点研发计划项目(2023YFF1104700) |
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Author | Institution |
WANG Wen-Zhi | 1. Chinese Academy of Quality and Inspection & Testing, 2. Key Laboratory of Food Quality and Safety, State Administration for Market Regulation |
FAN Chao | 1. Chinese Academy of Quality and Inspection & Testing, 2. Key Laboratory of Food Quality and Safety, State Administration for Market Regulation |
ZHANG Yue | 1. Chinese Academy of Quality and Inspection & Testing, 2. Key Laboratory of Food Quality and Safety, State Administration for Market Regulation |
SHEN Xue-Mei | 1. Chinese Academy of Quality and Inspection & Testing, 2. Key Laboratory of Food Quality and Safety, State Administration for Market Regulation |
JIANG Ping-Ping | 1. Chinese Academy of Quality and Inspection & Testing, 2. Key Laboratory of Food Quality and Safety, State Administration for Market Regulation |
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中文摘要: |
随着全球食品供应链的不断延伸和日益复杂化, 加之新业态、新食品和新商业模式的快速涌现, 食品欺诈现象日益引发关注, 已成为一个全球性话题。近年来, 食品欺诈对食品安全、公众健康以及消费者信心所带来的风险已被广泛报道。本文对当前国际上关于食品欺诈的不同定义和分类进行了系统梳理, 重点分析了国际上主要的食品欺诈数据库的功能及其应用情况, 并对食品欺诈的缓解措施、脆弱性评估的指南和规范以及相关评估工具进行了总结分析。此外, 本文还详细阐述了食品欺诈检测技术的研究进展, 指出了传统检测技术的应用及其局限性, 探讨了新兴技术的应用前景, 特别强调了结合多种检测技术、大数据、人工智能在提高检测效率和准确性方面的重要性。最后, 本文提出了相关建议, 以期为我国解决食品欺诈问题提供参考和借鉴。 |
英文摘要: |
With the continuous extension and increasing complexity of the global food supply chain, coupled with the rapid emergence of new business models, novel foods and innovative commercial practices, food fraud has become a growing concern and a global issue. In recent years, the risks posed by food fraud to food safety, public health and consumer confidence have been widely reported. This paper systematically reviewed the various definitions and classifications of food fraud currently recognized internationally, with a particular focus on analyzing the functionalities and applications of major global food fraud databases. It also summarized and analyzed mitigation measures for food fraud, guidelines and standards for vulnerability assessments, and related evaluation tools. Furthermore, the paper elaborated on the research progress in food fraud detection technologies, highlighting the applications and limitations of traditional detection methods, and explores the prospects of emerging technologies. Special emphasis was placed on the importance of integrating multiple detection technologies, big data, and artificial intelligence in enhancing detection efficiency and accuracy. Finally, the paper provided relevant recommendations, aiming to offer insights and references for addressing food fraud issues in China. |
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