基于光谱和成像技术的肉类品质无损检测研究进展OA

With the enhancement of consumers' awareness of food quality and safety,nondestructive testing of meat quality has be-come an inevitable demand for the development of the modern meat industry.Spectroscopy and imaging technologies can rapidly and accu-rately assess the sensory characteristics,physicochemical properties,and hygiene and safety indicators of meat.This paper reviews the ap-plication of spectroscopy and imaging technologies in meat quality inspection,mainly introducing the theoretical basis,development sta-tus,current applications,advantages,and disadvantages of these technologies,and looks forward to the future development trends.Al-though these technologies have achieved remarkable results in laboratory environments,they still face challenges,including high costs,numerous interference factors in complex environments,and complex data analysis processes in industrial applications.In the future,mul-tiple low-cost techniques can be integrated and combined with deep learning algorithms to improve the comprehensiveness and accuracy of detection,promoting their practical application in the meat industry.