Intelligent control for improving the quality of fresh meat products with rich lipid in cold chain logistics: research status, challenge, and potential applications
Yingqiu Luo, Min Zhang, Qi Yu, Arun S. Mujumdar, Luming Rui
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.