电子鼻系统识别罗非鱼品质劣变的传感器筛选研究

Screening of sensors for deterioration of tilapia quality using electronic nose system

应用电子鼻采集冷藏真空包装罗非鱼贮藏过程的气味信息,以鱼肉品质变化为参考,对识别传感器和特征信息提取进行分析,旨在筛选适用于鱼肉品质判定的传感器种类和特征提取。结果表明：罗非鱼贮藏过程中,鱼肉的新鲜度逐渐下降,部分传感器的响应信号随着气味浓度的增强而增大;40~42 s的信号特征稳定,与品质变化趋势较为一致,可用于特征提取;通过相关分析和逐步回归分析获得与品质指标线性关系较好的传感器种类;使用筛选后的传感器种类和特征提取进行模式识别,能够很好地区分鱼肉的不同品质等级,表明筛选后的传感器条件可用于品质判定。

The odor information of vacuum-packed tilapia during refrigerated storage were captured by electronic noses, its recognition sensors and the feature extraction were analyzed based on fish quality change, to aim at screening the suitable sensor types and feature extraction for distinguishing fish quality. The results showed that the response signal of some sensors increased with the enhancement of the odor concentration during the storage, which fish freshness was decreased gradually. The signal of 40-42 s was stable, and was more consistent with quality change trends, it could be used for feature extraction; the sensors types with good linear relationships of quality indictors were obtained by using correlation analysis and stepwise regression analysis; these screened sensors and feature extraction were used for pattern recognition, it could well distinguish different fish quality grades, indicating that the screening conditions of sensors could be used for quality determination.