基于气敏传感器阵列和PCA的猪肉新鲜度快速分类方法

Rapid Classification of Pork Freshness Using Gas Sensor Array and PCA Method

根据猪肉的腐败机理及其气味特征,合理选用了气敏传感器阵列,建立了一套用于猪肉新鲜度识别的电子鼻系统。通过不同保存温度不同时间的猪肉样品的电子鼻检测实验,探讨了电子鼻的实时响应特性的补偿方法和基于PCA的猪肉新鲜度的判别模式。同时采用挥发性盐基氮(TVBN)和微生物菌落总数检测实验进行对比分析。结果表明:在不同实验条件下,由于微生物作用产生的猪肉腐败规律,可由电子鼻实时检测;把温湿度信息作为PCA输入分量,能较好补偿温湿度造成的传感器误差。但是对于不同保存温度,判别模式是不同的。结果也表明,建立的电子鼻系统可以分析腐败过程,并半定量地表征猪肉腐败水平。

According to the mechanism of pork corruption and smell characteristics,special gas sensor array was adopted and electronic nose system was established for the identification of pork freshness.Pork samples stored at different temperatures and for different period of days were measured.Compensation method for sensor response and recognition model of pork freshness based on PCA were discussed.Total volatile basic nitrogen（TVBN）and aerobic bacterial count of the sample were measured simultaneously as the standard indicators of pork freshness.The results show that the electronic nose can detect the corruption regular pattern of pork produced by microorganism at various conditions.Sensor＇s error caused by temperature and humidity could be compensated by choosing temperature and humidity as input components of the PCA model.However the discriminant model was different for different storage temperature.The results also show that the electronic nose can analyze the process of corruption and semi-quantitatively characterize the level of pork corruption.