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Vol. 32, No. 8(2), S&M2292

ISSN (print) 0914-4935
ISSN (online) 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
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Sensors and Materials, Volume 19, Number 5 (2007)
Copyright(C) MYU K.K.
pp. 287-298
S&M683 Research Paper of Special Issue
Published: 2007

Discrimination of Red Wine Age Using Voltammetric Electronic Tongue Based on Multifrequency Large-Amplitude Voltammetry and Pattern Recognition Method [PDF]

Shi-Yi Tian, Shao-Ping Deng, Chun-Hui Ding, Chun-Li Yin and Hua Li

(Received April 2, 2007; Accepted May 1, 2007)

Keywords: electronic tongue, multifrequency large-amplitude voltammetry, multivariate data analysis, red wine

Three methods of multivariate data analysis (MVAD), principal component analysis (PCA), soft independent modeling of class analogy (SIMCA) and partial least squares discriminating analysis (PLS-DA), were used for processing data from a multifrequency large-amplitude pulse electronic tongue (MLAP-ET) in this paper. The dry red wine samples from the same company, produced by the same type of grape from the same vineyard, but with different vintages were studied using MLAP-ET. The results showed that these three methods were all effective for the data treatment of MLAP-ET to assess the vintage of red wine samples but differ in their discriminating ability. PLS-DA had the best classification property and was most suitable for processing the data from MLAP-ET.

Corresponding author: Shao-Ping Deng


Cite this article
Shi-Yi Tian, Shao-Ping Deng, Chun-Hui Ding, Chun-Li Yin and Hua Li, Discrimination of Red Wine Age Using Voltammetric Electronic Tongue Based on Multifrequency Large-Amplitude Voltammetry and Pattern Recognition Method, Sens. Mater., Vol. 19, No. 5, 2007, p. 287-298.



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