Intelligent quality control of gelatinous polysaccharide-based fresh products during cold chain logistics: A review

Abstract

Gelatinous polysaccharide-based fresh products are influenced by environmental and temperature changes, and maintaining their quality and freshness has always been a challenge. Intelligent management and control of cold chain logistics systems have been extensively used in transporting and storing these goods to overcome the problem. This review introduces common quality deterioration issues, including those encountered during the transportation and storage of these products, such as softening, water loss, and color changes. The application of intelligent detection technologies, including gas detection, intelligent label, and spectral detection is reviewed to achieve real-time monitoring and evaluation of product status. This article also introduces the Internet of Things, wireless sensor networks, and radio frequency identification for product data transmission. It utilizes artificial neural networks and digital twins to build quality models, achieving better management of gelatinous polysaccharide-based fresh products in the cold chain. Moreover, some preservation techniques are used to increase the longevity of these products in storage and reduce losses in the cold chain. These techniques include irradiation, chemical treatment, and coating preservation. This review will, hopefully, encourage additional work that may help reach the goal of having better intelligent quality control of gelatinous polysaccharide-based fresh products during cold chain logistics.