电子鼻在牦牛肉和牛肉猪肉识别中的应用

摘要

In order to discuss the feasibility of meat adulteration recognition based on electronic nose, an electronic nose was used to analyze yak meat, beef and pork. The response signals were analyzed by principal component analysis (PCA), discriminant factor analysis (DFA) and partial least-squares analysis (PLS). The results indicated that yak meat,beef and pork samples had different characteristic response signals. Electronic nose could recognize yak meat, beef and pork, and also could recognize yak meat and beef samples at different growing locations, but this recognition was not suitable for pork at different growing locations. And it could also identify minced beef added with different ratio of minced pork. Coefficient of determination between sensors response signals and the ratio of minced pork of PLS model was 0.9762. The prediction error of PLS model was within 7.00％. It was proved that electronic nose could be applied in meat recognition.%为了探索电子鼻对肉类掺假识别的可行性,利用电子鼻对牦牛肉、牛肉和猪肉样品进行了分析.通过对所获得的数据进行主成分分析(principal component analysis,PCA)、判别因子分析(discriminant factor analysis,DFA)和偏最小二乘同归分析(partial least-squares analysis,PLS).结果表明:几种肉类在电子鼻传感器上有不同的特征性响应图谱,电子鼻能够有效识别猪、牛肉;同时电子鼻能够识别不同部位的牦牛肉和普通牛肉;但不能识别不同部位的猪肉.在牛肉馅中掺入不同比例的猪肉馅时,电子鼻也能进行识别.采用偏最小二乘回归分析对数据进行处理,电子鼻响应信号和猪肉馅掺入比例之间有很好的相关性(决定系数R2为0.9762),PLS模型预测误差在1.27%～7.00%之间.试验证明电子鼻可用于肉类的识别.