Web of Science: 76 cites, Scopus: 89 cites, Google Scholar: cites
Hybrid Electronic Tongue based on Multisensor Data Fusion for Discrimination of Beers
Gutiérrez, Juan Manuel (CINVESTAV. Mexico.)
Haddi, Zouhair (Moulay Ismaïl University)
Amari, Aziz (Moulay Ismaïl University)
Bouchikhi, Benachir (Moulay Ismaïl University)
Mimendia, Aitor (Universitat Autònoma de Barcelona. Grup de Recerca de Sensors i Biosensors)
Cetó Alsedà, Xavier (Universitat Autònoma de Barcelona. Grup de Recerca de Sensors i Biosensors)
Valle Zafra, Manuel del (Universitat Autònoma de Barcelona. Departament de Química)

Data: 2013
Resum: This paper reports the use of a hybrid Electronic Tongue based on data fusion of two different sensor families, applied in the recognition of beer types. Six modifiedgraphite- epoxy voltammetric sensors plus 15 potentiometric sensors formed the sensor array. The different samples were analyzed using cyclic voltammetry and direct potentiometry without any sample pretreatment in both cases. The sensor array coupled with feature extraction and pattern recognition methods, namely Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA), was trained to classify the data clusters related to different beer varieties. PCA was used to visualize the different categories of taste profiles and LDA with leave-one-out cross-validation approach permitted the qualitative classification. The aim of this work is to improve performance of existing electronic tongue systems by exploiting the new approach of data fusion of different sensor types.
Ajuts: Ministerio de Ciencia e Innovación CTQ2010-17099
Nota: Altres ajuts: AECID/A-023678/09
Drets: Tots els drets reservats.
Llengua: Anglès
Document: Article ; recerca ; Versió sotmesa a revisió
Matèria: Data fusion ; Hybrid electronic tongue ; Linear Discriminant Analysis ; Beers classification
Publicat a: Sensors and actuators. B, Chemical, Vol. 177 (February 2013) , p. 989-996, ISSN 0925-4005

DOI: 10.1016/j.snb.2012.11.110

28 p, 458.7 KB

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