构建欧洲食品安全统一数据库，助力智能分析与政策制定
Food safety trends across Europe: insights from the 392-million-entry CompreHensive European Food Safety (CHEFS) database
- 整合1000份文件、3.92亿条数据，形成结构化食品监测库
- 揭示2000至2024年各国检测趋势、高风险产品与主要污染物
- 适合政策制定者、研究人员及监管机构用于风险预警与决策
欧盟成员国官方食品安全部门的监测数据由欧洲食品安全局（EFSA）收集并发布在Zenodo平台。这些数据涵盖超过1520万份样本、4000多种食品，共3.92亿条分析结果，为人工智能分析趋势、预测风险和建立早期预警系统提供了巨大潜力。然而，当前数据分散于约1000个文件，总计数百吉字节，难以访问与分析。为此，我们构建了综合欧洲食品安全（CHEFS）数据库，将农药残留、兽药残留及化学污染物的监测数据整合为统一结构化数据集。本文描述了该数据库的创建过程与结构，并通过2000至2024年的数据分析，探讨了监测活动变化、高频检测产品、最常不合格产品及主要污染物分布差异。研究结果表明，CHEFS数据库不仅是集中式数据资源，更是指导食品安全政策、科研与监管的战略工具。
原文摘要 · Abstract (English)
In the European Union, official food safety monitoring data collected by member states are submitted to the European Food Safety Authority (EFSA) and published on Zenodo. This data includes 392 million analytical results derived from over 15.2 million samples covering more than 4,000 different types of food products, offering great opportunities for artificial intelligence to analyze trends, predict hazards, and support early warning systems. However, the current format with data distributed across approximately 1000 files totaling several hundred gigabytes hinders accessibility and analysis. To address this, we introduce the CompreHensive European Food Safety (CHEFS) database, which consolidates EFSA monitoring data on pesticide residues, veterinary medicinal product residues, and chemical contaminants into a unified and structured dataset. We describe the creation and structure of the CHEFS database and demonstrate its potential by analyzing trends in European food safety monitoring data from 2000 to 2024. Our analyses explore changes in monitoring activities, the most frequently tested products, which products were most often non-compliant and which contaminants were most often found, and differences across countries. These findings highlight the CHEFS database as both a centralized data source and a strategic tool for guiding food safety policy, research, and regulation.
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