基于高光谱成像技术检测肉与肉制品中肌内脂肪的研究进展

Research Progress on the Detection of Intramuscular Fat in Meat and Meat Products Based on Hyperspectral Imaging Technology

肌内脂肪(Intramuscular Fat,IMF)被认为是消费者评价肉类产品最常用的参数之一,会影响消费者的接受度和购买意愿。目前对于不同肉与肉制品中大理石花纹的分类评定的传统方法是由经过培训的专家小组进行的,但这种方法会因不同企业生产的产品不一致而增加人工成本,且重复性低,易受环境和人为因素的影响。本文概述高光谱成像技术在生鲜肉与经过加工处理后的肉中肌内脂肪检测方面的应用现状,包括光谱范围、扫描操作、波长选择以及模型构建所用算法等方面内容,以期为后续开展基于高光谱成像技术进一步提升肌内脂肪预测精准度的研究提供参考。

Intramuscular fat(IMF)is considered to be one of the most commonly used parameters for consumers to evaluate meat products,which will affect consumers’acceptance and purchase intention.At present,the traditional method of classification and evaluation of marbling in different meat and meat products is carried out by a trained team of experts,but this method will increase labor costs due to the inconsistency of products produced by different enterprises,and it is low repeatable,and it is susceptible to environmental and human factors.This article summarizes the application status of hyperspectral imaging technology in the detection of intramuscular fat in fresh meat and processed meat,including spectral range,scanning operation,wavelength selection,and algorithm used in model construction,in order to provide a reference for subsequent research on further improving the accuracy of intramuscular fat prediction based on hyperspectral imaging technology.