Por favor, use este identificador para citar o enlazar este ítem:http://uvadoc.uva.es/handle/10324/30707
Título
Monitoring the aging of beers using a bioelectronic tongue
Autor
Año del Documento
2012
Descripción
Producción Científica
Documento Fuente
Food Control vol. 25 p. 216-224
Resumo
This paper deals with the implementation and the application of a bioelectronic tongue including three enzymatic biosensors based on tyrosinase and phthalocyanines as electron mediators, to evaluate the changes that occur during the aging of beers. For this purpose, alcoholic and non alcoholic beers, packaged in can and bottle, have been analyzed using cyclic voltammetry. The electrochemical signals showed significant changes during the aging process. The features extracted from the cyclic voltammograms have been used to perform Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA). Data have revealed a clear discrimination among the beer classes in the aging process and the results were confirmed by Probabilistic Neural Networks (PNN) with Radial Basis Functions (RBF) and FeedForward Networks with Backpropagation (BP) learning method. The bioelectronic tongue has demonstrated a good capability to discriminate and classify the beer types satisfactorily in such a way, for all beer treatments, full classification accuracy was found.
ISSN
0956-7135
Revisión por pares
SI
Idioma
eng
Derechos
openAccess
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