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冷链物流中用于提高富含脂质的新鲜肉类产品质量的智能控制:研究现状、挑战及潜在应用

Intelligent control for improving the quality of fresh meat products with rich lipid in cold chain logistics: research status, challenge, and potential applications.

作者信息

Luo Yingqiu, Zhang Min, Yu Qi, Mujumdar Arun S, Rui Luming

机构信息

State Key Laboratory of Food Science and Resources, School of Food Science and Resources, Jiangnan University, Wuxi, Jiangsu, China.

China General Chamber of Commerce Key Laboratory on Fresh Food Processing & Preservation, Jiangnan University, Wuxi, Jiangsu, China.

出版信息

Crit Rev Food Sci Nutr. 2025 Jun 5:1-28. doi: 10.1080/10408398.2025.2512221.

Abstract

Lipid-rich fresh meat products are popular among consumers due to their abundant nutrients. However, traditional cold chain logistics struggles to effectively control the quality of such products, leading to a large number of food waste and safety incidents. Novel quality control technologies (including emerging preservation technologies and intelligent detection technologies) provide promising solutions to these challenges, and contribute to intelligent control for improving the quality of lipid-rich fresh meat products in cold chain logistics. Through a comprehensive analysis of the existing literature, this review summarizes the mechanisms leading to quality deterioration in lipid-rich fresh meat products in cold chain logistics, and focuses on the research status of novel quality control technologies. Moreover, this paper discusses the challenges in practical applications of these technologies, as well as the potential applications of 3D printing technology, electrospinning technology and artificial intelligence technology in promoting the intellectualization of quality control technologies. This review aims to provide guidance for the application of novel quality control technologies in lipid-rich fresh meat products, and assist in building an efficient and intelligent system to improve the quality of lipid-rich fresh meat products in cold chain logistics.

摘要

富含脂质的新鲜肉类产品因其丰富的营养成分而受到消费者的欢迎。然而,传统冷链物流难以有效控制此类产品的质量,导致大量食品浪费和安全事故。新型质量控制技术(包括新兴保鲜技术和智能检测技术)为这些挑战提供了有前景的解决方案,并有助于实现智能控制,以提高冷链物流中富含脂质的新鲜肉类产品的质量。通过对现有文献的综合分析,本综述总结了冷链物流中富含脂质的新鲜肉类产品质量恶化的机制,并重点关注新型质量控制技术的研究现状。此外,本文讨论了这些技术在实际应用中的挑战,以及3D打印技术、静电纺丝技术和人工智能技术在推动质量控制技术智能化方面的潜在应用。本综述旨在为新型质量控制技术在富含脂质的新鲜肉类产品中的应用提供指导,并协助构建一个高效、智能的系统,以提高冷链物流中富含脂质的新鲜肉类产品的质量。

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