Abstract:An electronic nose was used to characterize and classify different volatile components of sweet persimmon according to times of storage. Principal component analysis (PCA) and linear discrimination analysis (LDA) were respectively used for data process, and the response changes of the primary sensor were mainly analyzed by loadings analysis. LDA results indicated that sweet persimmon stored under different conditions, i.e, room temperature storage (18～20 ℃) and storage after postharvest (18～20 ℃ after stored under 0±1 ℃ for 40 d), was discriminated more effectively than those under cold storage (0±1 ℃). Sensors of W2S (ethanol) and W1W (terpene) played important roles in discrimination of sweet persimmon with different shelf life under either room temperature or cold storage, while sensors of W2W (aroma constituent and organic sulfide) and W1W (terpene) contributed for discrimination of those stored after postharvest. Therefore, electronic nose is an efficient device for rapid discrimination of sweet persimmon stored under different conditions.
