Naval Medical University, Shanghai 200433, PR China.
School of Materials Science and Engineering, Suzhou University of Science and Technology, Suzhou 215009, PR China.
Food Chem. 2024 Dec 1;460(Pt 1):140562. doi: 10.1016/j.foodchem.2024.140562. Epub 2024 Jul 20.
With the increasing demand for meat products, the evaluation and real-time monitoring of its freshness has become one of the focuses of related industry research. Conventional freshness detection methods, including sensory evaluation, microbial experiments, and determination of physicochemical indicators, are time-consuming, low sensitivity, and destructive, so there is an urgent need to develop a convenient, intuitive, and inexpensive detection method. As a representative of smart packaging, visual intelligent labels can realize real-time perception and monitoring of meat freshness by measuring the temperature, pH value or other indicators of meat and converting them into visual signals. This paper first summarizes the common types, basic principles and research progress of visual intelligent labels, then introduces its application in livestock, poultry and seafood freshness monitoring, finally looks forward to the development prospect of visual smart labels.
随着人们对肉类产品需求的不断增加，对其新鲜度的评估和实时监测已成为相关行业研究的重点之一。传统的新鲜度检测方法，包括感官评价、微生物实验和理化指标测定，存在耗时、灵敏度低和具有破坏性等问题，因此迫切需要开发一种方便、直观和廉价的检测方法。作为智能包装的代表，视觉智能标签可以通过测量肉类的温度、pH 值或其他指标，并将其转化为视觉信号，从而实现对肉类新鲜度的实时感知和监测。本文首先总结了视觉智能标签的常见类型、基本原理和研究进展，然后介绍了其在畜、禽和海鲜新鲜度监测中的应用，最后展望了视觉智能标签的发展前景。
