Progress in Visualized Intelligent Packaging in Food Freshness Monitoring
HAN Tingting, SUN Chong, WANG Daoying, LIU Dengyong, CAO Jinxuan
1.National and Local Joint Engineering Research Centre of Storage, Processing and Safety Control Technology for Fresh Agricultural and Aquatic Products, College of Food Science and Technology, Bohai University, Jinzhou 121013, China; 2.Institute of Agri-Products Processing, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China; 3.Jiangsu Collaborative Innovation Center of Meat Production and Processing, Quality and Safety Control, Nanjing 210095, China; 4.Key Laboratory of Food Deep Processing Technology of Animal Protein of Zhejiang Province, College of Food and Pharmaceutical Sciences, Ningbo University, Ningbo 315211, China
Abstract：As the food safety problem has become a hot issue of widespread public concern, rapid and non-destructive food safety detection has aroused extensive attention in the field of food research. In recent years, visualized smart packaging has burgeoned. However, a systematic review of the application scope, limitations and future direction of visualized smart packaging is currently lacking in the literature. Hence, this article reviews the recent progress in research on visualized smart packaging, discussing its current limitations in the field of food detection, analyzing the factors causing inaccurate and imprecise results of visualized smart packaging, and summarizing its future directions. In the future, visualized smart packaging will be multidisciplinarily combined with other technologies for improved selection of raw materials and increased sensitivity and precision of detection with low risks and without pollution, which is expected to provide a reference for the application of visualized smart packaging in the field of food science.
韩婷婷，孙 冲，王道营，刘登勇，曹锦轩. 可视化智能包装在食品新鲜度监测中的应用研究进展[J]. 肉类研究, 2021, 35(12): 46-53.
HAN Tingting, SUN Chong, WANG Daoying, LIU Dengyong, CAO Jinxuan. Progress in Visualized Intelligent Packaging in Food Freshness Monitoring. Meat Research, 2021, 35(12): 46-53.
2021, Vol. 35 
