Optimization of Sensors Array as an Electronic Nose in Identifying Adulterate Milk

The electronic nose was widely used in the food area. A single couldn’t assess the quality of odor because its complexity. The sensors array could resolve this problem. The sensors array was different when different food was identified. The adulterate milk were identified by electronic nose, and the signals were analyzed by variance analysis, PCA (principal component analysis) and clustering analysis. The best sensors array made up of 8 sensors was obtained. The new sensors array was applied to identify the adulterate milk. The data was analyzed by LDA analysis (Linear Discriminant Analysis). The plot of 8-sensor array could distinguish the milk adulterated with powdered milk of different proportion. So the electronic nose with 8-sensor array had the ability of distinguishing the adulterate milk well as electronic nose with the 10-sensor array.