Lei Moyixi, Xu Longqin, Liu Tonglai, Liu Shuangyin, Sun Chuanheng
College of Information Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China.
National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China.
Foods. 2022 Jul 28;11(15):2262. doi: 10.3390/foods11152262.
Concern about food safety has become a hot topic, and numerous researchers have come up with various effective solutions. To ensure the safety of food and avoid financial loss, it is important to improve the safety of food information in addition to the quality of food. Additionally, protecting the privacy and security of food can increase food harvests from a technological perspective, reduce industrial pollution, mitigate environmental impacts, and obtain healthier and safer food. Therefore, food traceability is one of the most effective methods available. Collecting and analyzing key information on food traceability, as well as related technology needs, can improve the efficiency of the traceability chain and provide important insights for managers. Technology solutions, such as the Internet of Things (IoT), Artificial Intelligence (AI), Privacy Preservation (PP), and Blockchain (BC), are proposed for food monitoring, traceability, and analysis of collected data, as well as intelligent decision-making, to support the selection of the best solution. However, research on the integration of these technologies is still lacking, especially in the integration of PP with food traceability. To this end, the study provides a systematic review of the use of PP technology in food traceability and identifies the security needs at each stage of food traceability in terms of data flow and technology. Then, the work related to food safety traceability is fully discussed, particularly with regard to the benefits of PP integration. Finally, current developments in the limitations of food traceability are discussed, and some possible suggestions for the adoption of integrated technologies are made.
对食品安全的关注已成为一个热门话题，众多研究人员提出了各种有效的解决方案。为确保食品安全并避免经济损失，除了提高食品质量外，提高食品信息的安全性也很重要。此外，从技术角度来看，保护食品的隐私和安全可以增加粮食产量，减少工业污染，减轻环境影响，并获得更健康、更安全的食品。因此，食品可追溯性是可用的最有效方法之一。收集和分析食品可追溯性的关键信息以及相关技术需求，可以提高可追溯性链条的效率，并为管理人员提供重要见解。提出了物联网（IoT）、人工智能（AI）、隐私保护（PP）和区块链（BC）等技术解决方案，用于食品监测、可追溯性以及对收集数据的分析，以及智能决策，以支持最佳解决方案的选择。然而，对这些技术集成的研究仍然不足，尤其是PP与食品可追溯性的集成。为此，该研究对PP技术在食品可追溯性中的应用进行了系统综述，并从数据流和技术角度确定了食品可追溯性各阶段的安全需求。然后，充分讨论了与食品安全可追溯性相关的工作，特别是关于PP集成的好处。最后，讨论了食品可追溯性局限性方面的当前发展情况，并对采用集成技术提出了一些可能的建议。
