Institute for Global Food Security, School of Biological Sciences, Queens University Belfast, Belfast, BT9 5DL, Northern Ireland, UK.
Faculty of Law, VU University Amsterdam, De Boelelaan 1105, Amsterdam, 1081 HV, The Netherlands.
Compr Rev Food Sci Food Saf. 2022 Jul;21(4):3746-3769. doi: 10.1111/1541-4337.12998. Epub 2022 Jul 8.
Due to complex, valuable, and often extremely opaque supply chains, seafood is a commodity that has experienced a high prevalence of food fraud throughout the entirety of its logistics network. Fraud detection and prevention require an in-depth understanding of food supply chains and their vulnerabilities and risks so that food business operators, regulators, and other stakeholders can implement practical countermeasures. An analysis of historical criminality within a sector, product, or country is an important component and has not yet been conducted for the seafood sector. This study examines reported seafood fraud incidents from the European Union's Rapid Alert System for Food and Feed, Decernis's Food Fraud Database, HorizonScan, and LexisNexis databases between January 01, 2010 and December 31, 2020. Illegal or unauthorized veterinary residues were found to be the most significant issue of concern, with most reports originating from farmed seafood in Vietnam, China, and India. For internationally traded goods, border inspections revealed a significant frequency of reports with fraudulent or insufficient documentation, indicating that deceptive practices are picked up at import or export but are occurring further down the supply chain. Practices such as species adulteration (excluding veterinary residues), species substitution, fishery substitution, catch method fraud, and illegal, unreported, and unregulated fishing were less prevalent in the databases than evidenced in the scientific literature. The analysis demonstrates significant differences in outcomes depending on source and underlines a requirement for a standardized and rigorous dataset through which food fraud can be scrutinized to ensure enforcement, as well as industry and research resources are directed accurately. Practical Application: Levels of historic food fraud in a product, sector, supply chain node or geographic location provide an indication of historic criminality, the methods used and the location of reported frauds. This study provides an overview of historic levels of seafood fraud that can be used to inform seafood fraud prevention and mitigation activities by the food industry, regulators and other stakeholders.
由于供应链复杂、有价值且往往极其不透明,海鲜在其整个物流网络中经历了很高的食品欺诈发生率。欺诈检测和预防需要深入了解食品供应链及其漏洞和风险,以便食品企业经营者、监管机构和其他利益相关者能够实施切实可行的对策。对一个部门、产品或国家的历史犯罪行为进行分析是一个重要组成部分,但尚未对海鲜部门进行过此类分析。本研究分析了 2010 年 1 月 1 日至 2020 年 12 月 31 日期间欧盟食品和饲料快速警报系统、Decernis 的食品欺诈数据库、HorizonScan 和 LexisNexis 数据库中报告的海鲜欺诈事件。非法或未经授权的兽医残留物被认为是最值得关注的问题,大多数报告来自越南、中国和印度的养殖海鲜。对于国际贸易商品,边境检查显示出报告中存在大量欺诈或文件不足的情况,这表明在进口或出口时就已经发现了欺骗行为,但这些行为可能发生在供应链的下游。与科学文献相比,数据库中物种掺假(不包括兽医残留物)、物种替代、渔业替代、捕捞方法欺诈以及非法、未报告和无管制的捕捞等行为的报告频率较低。该分析表明,根据来源的不同,结果存在显著差异,并强调需要一个标准化和严格的数据集,通过该数据集可以仔细审查食品欺诈行为,以确保执法以及行业和研究资源得到准确引导。实际应用:产品、部门、供应链节点或地理位置的历史食品欺诈水平可以提供历史犯罪行为、使用的方法以及报告欺诈行为的位置的指示。本研究提供了海鲜欺诈历史水平的概述,可用于为海鲜行业、监管机构和其他利益相关者提供海鲜欺诈预防和缓解活动的信息。