Faculty of Economics, Maria Curie-Sklodowska University, Lublin, Poland.
School of Agriculture, Food and Environment, Royal Agricultural University, Cirencester, UK.
Crit Rev Food Sci Nutr. 2021;61(6):906-919. doi: 10.1080/10408398.2020.1747978. Epub 2020 Apr 10.
The Rapid Alert System for Food and Feed (RASFF), where competent authorities in each Member State (MS) submit notifications on the withdrawal of unsafe or illegal products from the market, makes a significant contribution to food safety control in the European Union. The aim of this paper is to frame the potential challenges of interpreting and then acting upon the dataset contained within the RASFF system. As it is largest cause of RASFF notifications, the lens of enquiry used is mycotoxin contamination. The methodological approach is to firstly iteratively review existing literature to frame the problem, and then to interrogate the RASFF system and analyze the data available. Findings are that caution should be exercised in using the RASFF database both as a predictive tool and for trend analysis, because iterative changes in food law impact on the frequency of regulatory sampling associated with border and inland regulatory checks. The study highlights the variability of engagement by MSs with the RASFF database, influencing generalisability of the trends noted. As importing countries raise market standards, there are wider food safety implications for the exporting countries themselves. As this is one of the first studies articulating the complexities and opportunities of using the RASFF database, this research makes a strong contribution to literature.
食品和饲料快速预警系统(RASFF)使各成员国(MS)的主管当局能够提交有关从市场上撤回不安全或非法产品的通知,这对欧盟的食品安全控制做出了重大贡献。本文旨在阐述在解释和采取 RASFF 系统中包含的数据集时可能遇到的挑战。由于这是 RASFF 通知的最大原因,因此使用的研究视角是霉菌毒素污染。方法是首先迭代审查现有文献来阐述问题,然后对 RASFF 系统进行审查并分析可用数据。研究结果表明,在使用 RASFF 数据库作为预测工具和进行趋势分析时应谨慎行事,因为食品法的迭代变化会影响与边境和内陆监管检查相关的监管抽样频率。该研究强调了成员国对 RASFF 数据库的参与程度存在差异,这影响了所注意到的趋势的普遍性。由于进口国提高了市场标准,出口国本身也面临更广泛的食品安全问题。由于这是首次阐明使用 RASFF 数据库的复杂性和机会的研究之一,因此这项研究为文献做出了重要贡献。