基于电子鼻与电子舌建立牛奶货架期预测模型

以全脂鲜牛奶为研究对象，以产品感官品质得分、电子舌样品间的差别度欧氏距离（Euclidean distance，ED）和电子鼻气味距离为指标，分析产品在4、15、23 ℃和30 ℃的贮藏温度下的变化情况。运用零级反应动力学模型，结合Arrhenius方程，利用感官品质变化临界点计算电子舌差别度ED值随时间和电子鼻气味距离临界值，构建了电子舌以及电子鼻货架期的预测方程，预测全脂鲜牛奶货架期分别为16.2 d和15.7 d，预测误差分别为8.0%和4.7%。结果表明，采用电子鼻、电子舌技术，能够有效监测牛奶保质期加速实验过程中的品质变化，并为牛奶货架期的判定提供新思路。

Establishment of Shelf Life Prediction Model for Milk Using Electronic Nose and Electronic Tongue

This sthdy investigated the changes in the sensory score, electronic tongue Euclidean distance (ED) and electronic nose odor distance of fresh whole milk during storage at 4, 15, 23 and 30 ℃. Using combination of a zero-order reaction kinetics model and the Arrhenius equation, shelf life prediction models for fresh milk were established based on the thresholds calculated for electronic tongue ED and electronic nose odor distance from the critical point of sensory quality changes, separately. The predicted shelf life using electronic nose and tongue was 16.2 and 15.7 days, respectively, showing 8.0% and 4.7% errors compared with the actual value, respectively. The results showed that electronic nose and electronic tongue technology can effectively monitor the quality changes of milk during accelerated shelf life, which provides a new idea for the determination of milk shelf life.