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人工智能辅助的智能包装在监测食品新鲜度方面的最新进展。

Recent Advance of Intelligent Packaging Aided by Artificial Intelligence for Monitoring Food Freshness.

作者信息

Li Xiaoxuan, Liu Danfei, Pu Yumei, Zhong Yunfei

机构信息

School of Packaging and Materials Engineering, Hunan University of Technology, Zhuzhou 412007, China.

出版信息

Foods. 2023 Aug 7;12(15):2976. doi: 10.3390/foods12152976.

Abstract

Food safety is a pressing concern for human society, as it directly impacts people's lives, while food freshness serves as one of the most crucial indicators in ensuring food safety. There exist diverse techniques for monitoring food freshness, among which intelligent packaging based on artificial intelligence technology boasts the advantages of low cost, high efficiency, fast speed and wide applicability; however, it is currently underutilized. By analyzing the current research status of intelligent packaging both domestically and internationally, this paper provides a clear classification of intelligent packaging technology. Additionally, it outlines the advantages and disadvantages of using intelligent packaging technology for food freshness detection methods, while summarizing the latest research progress in applying artificial intelligence-based technologies to food freshness detection through intelligent packaging. Finally, the author points out the limitations of the current research, and anticipates future developments in artificial intelligence technology for assisting freshness detection in intelligent packaging. This will provide valuable insights for the future development of intelligent packaging in the field of food freshness detection.

摘要

食品安全是人类社会面临的紧迫问题,因为它直接影响人们的生活,而食品新鲜度是确保食品安全的最重要指标之一。监测食品新鲜度的技术多种多样,其中基于人工智能技术的智能包装具有成本低、效率高、速度快和适用性广等优点;然而,目前该技术尚未得到充分利用。通过分析国内外智能包装的研究现状,本文对智能包装技术进行了明确分类。此外,本文概述了使用智能包装技术进行食品新鲜度检测方法的优缺点,同时总结了通过智能包装将基于人工智能的技术应用于食品新鲜度检测的最新研究进展。最后,作者指出了当前研究的局限性,并展望了人工智能技术在智能包装辅助新鲜度检测方面的未来发展。这将为食品新鲜度检测领域智能包装的未来发展提供有价值的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7724/10418964/5839bf589819/foods-12-02976-g001.jpg

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