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Print: ISSN 0914-4935
Online: ISSN 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.
Online: ISSN 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
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.
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Sensors and Materials
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is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.
Instructions to authors
English 日本語
Instructions for manuscript preparation
English 日本語
Template
English
Publisher
MYU K.K.
Sensors and Materials
1-23-3-303 Sendagi,
Bunkyo-ku, Tokyo 113-0022, Japan
Tel: 81-3-3827-8549
Fax: 81-3-3827-8547
MYU Research, a scientific publisher, seeks a native English-speaking proofreader with a scientific background. B.Sc. or higher degree is desirable. In-office position; work hours negotiable. Call 03-3827-8549 for further information.
MYU Research
(proofreading and recording)
MYU K.K.
(translation service)
The Art of Writing Scientific Papers
(How to write scientific papers)
(Japanese Only)
Sensors and Materials, Volume 19, Number 5 (2007)
Copyright(C) MYU K.K.
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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