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减轻供应链中食品欺诈的新兴技术与系统综述。

A review of the emerging technologies and systems to mitigate food fraud in supply chains.

作者信息

Fernando Indika, Fei Jiangang, Cahoon Stephen, Close Dugald C

机构信息

Australian Maritime College (AMC), University of Tasmania, Newnham, TAS, Australia.

Tasmanian Institute of Agriculture (TIA), University of Tasmania, Hobart, TAS, Australia.

出版信息

Crit Rev Food Sci Nutr. 2024 Oct 2:1-28. doi: 10.1080/10408398.2024.2405840.

Abstract

Food fraud has serious consequences including reputational damage to businesses, health and safety risks and lack of consumer confidence. New technologies targeted at ensuring food authenticity has emerged and however, the penetration and diffusion of sophisticated analytical technologies are faced with challenges in the industry. This review is focused on investigating the emerging technologies and strategies for mitigating food fraud and exploring the key barriers to their application. The review discusses three key areas of focus for food fraud mitigation that include systematic approaches, analytical techniques and package-level anti-counterfeiting technologies. A notable gap exists in converting laboratory based sophisticated technologies and tools in high-paced, live industrial applications. New frontiers such as handheld laser-induced breakdown spectroscopy (LIBS) and smart-phone spectroscopy have emerged for rapid food authentication. Multifunctional devices with hyphenating sensing mechanisms together with deep learning strategies to compare food fingerprints can be a great leap forward in the industry. Combination of different technologies such as spectroscopy and separation techniques will also be superior where quantification of adulterants are preferred. With the advancement of automation these technologies will be able to be deployed as in-line scanning devices in industrial settings to detect food fraud across multiple points in food supply chains.

摘要

食品欺诈会带来严重后果,包括损害企业声誉、健康与安全风险以及消费者信心缺失。然而,旨在确保食品真实性的新技术已经出现,不过,先进分析技术的渗透和推广在该行业面临挑战。本综述聚焦于研究缓解食品欺诈的新兴技术和策略,并探索其应用的关键障碍。该综述讨论了缓解食品欺诈的三个关键重点领域,包括系统方法、分析技术和包装层面的防伪技术。在将基于实验室的先进技术和工具转化为快节奏的实际工业应用方面存在显著差距。用于快速食品认证的新领域已经出现,如手持式激光诱导击穿光谱(LIBS)和智能手机光谱。具有联用传感机制的多功能设备以及用于比较食品指纹的深度学习策略可能会成为该行业的重大飞跃。在更倾向于对掺假物进行定量的情况下,光谱学和分离技术等不同技术的结合也会更具优势。随着自动化的发展,这些技术将能够作为在线扫描设备部署在工业环境中,以检测食品供应链多个环节的食品欺诈行为。

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