Detection of the Chinese Rice Wine Using an Electronic Tongue

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Abstract:

An electronic tongue was employed to detect different brands of Chinese rice wine. The results showed that all of the seven classes of Chinese rice wine can be discriminated by Discriminant Factor Analysis (DFA) and Principal Component Analysis (PCA). Based on Artificial Neural Network (ANN), the electronic tongue can predict the marked age of Chinese rice wine, and the accuracy of prediction was above 90% averagely.

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Periodical:

Advanced Materials Research (Volumes 1044-1045)

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937-940

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Online since:

October 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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