Abstract: An electronic nose system PEN3 was used to discriminate the storage time of raw goat milk at 4 ℃ and 25 ℃. The volatile composition of goat milk was sampled by PEN3, and the obtained data were analyzed using principal component analysis (PCA) and linear discrimination analysis (LDA). The results showed that PCA method could discriminate the storage temperature and time of raw goat milk except for the variation of volatiles during storage. On the contrary, LDA method could not discriminate the storage temperature and time effectively although it could discriminate the variation in volatiles during storage. These findings collectively indicate that electronic nose can effectively discriminate the storage time of raw goat milk at 4℃ and 25 ℃ and the variation in volatiles during storage.

Key words: electronic nose, goat milk, storage temperature, storage time, principal component analysis (PCA), linear discrimination analysis (LDA)