【摘要】 随着冷却肉消费需求的持续增长，其新鲜度评估和实时监测技术成为当前研究热点。传统新鲜度检测方法存在耗时、灵敏度低、操作复杂等局限性，开发便捷、直观、低成本的新型新鲜度检测技术具有重要意义。作为智能包装的典型代表，可视化智能标签通过将指示剂与肉类腐败代谢产物的相互作用转化为可视化信号实现对冷却肉新鲜度的实时监测。本文系统分析冷却肉在贮藏和流通环节中的腐败变质途径及其特征代谢产物，从分子层面揭示可视化智能标签的显色机理，综述可视化智能标签分类及其在冷却肉新鲜度监测领域的最新研究进展，并探讨可视化智能标签商业应用面临的关键挑战及其解决方案，以期为冷却肉品质监测技术的创新发展提供理论支撑。更多还原

【Abstract】 With the increasing consumer demand for chilled meat, the assessment and real-time monitoring of its freshness have become one of the current research hotspots. Since traditional freshness detection methods have several drawbacks such as time-consuming processes, low sensitivity, and complex operation, developing convenient, intuitive, and cost-effective freshness detection technologies is of utmost importance. As a typical representative of intelligent packaging, visual intelligent labels can convert the interaction between indicators contained within them and spoilage metabolites in meat into visual signals, enabling real-time monitoring of chilled meat freshness. This paper outlines the spoilage pathways and characteristic metabolites of chilled meat during storage and distribution and explains the color development mechanism of visual intelligent labels at the molecular level. Besides, it reviews the classification of visual intelligent labels and their application in monitoring chilled meat freshness and discusses the challenges and solutions for the commercial application of visual intelligent labels, aiming to provide theoretical support for the innovative development of chilled meat quality monitoring technologies.更多还原