Instrumental measurement of wine sensory descriptors using a voltammetric electronic tongue
Cetó Alsedà, Xavier (Universitat Autònoma de Barcelona. Departament de Química)
González-Calabuig, Andreu (Universitat Autònoma de Barcelona. Departament de Química)
Puig Pujol, Anna (Institut Català de la Vinya i el Vi)
Capdevila Mestres, Josefa (Institut Català de la Vinya i el Vi)
Valle Zafra, Manuel del (Universitat Autònoma de Barcelona. Departament de Química)

Data:	2015
Resum:	The approach presented herein reports the application of a voltammetric electronic tongue (ET), in contrast with a wine tasting sensory panel, as a tool for standardized wine tasting; concretely, to achieve the discrimination of different wine DOs (Denominación de Origen, a mark related to its geographical region and ensuring high-quality levels) and the prediction of the global score assigned by the trained sensory panel. To this aim, a voltammetric array of sensors based on metallic and bulk-modified graphite electrodes was used as the sensing part, while chemometric tools such as linear discriminant analysis (LDA) and artificial neural networks (ANNs) were used as the qualitative and quantitative modelling tools. Departure information was the set of voltammograms, which were first preprocessed employing fast Fourier transform(FFT), followed by removal of less-significant coefficients employing a stepwise inclusion method and pruning of the inputs. The trend, in global scores, was modelled successfully with a 92. 9% of correct identification for the qualitative application, and a correlation coefficient of 0. 830 for the quantitative one (with 14 and 20 samples for the external test subsets, respectively).
Ajuts:	Ministerio de Ciencia e Innovación CTQ2010-17099
Drets:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades.
Llengua:	Anglès
Document:	Article ; recerca ; Versió acceptada per publicar
Matèria:	Electronic tongue ; Linear discriminant analysis ; Artificial neural network ; Voltammetric sensor ; Wine ; Sensory panel
Publicat a:	Sensors and actuators. B, Chemical, Vol. 207, Part B (Feb. 2015) , p. 1053-1059, ISSN 1873-3077

DOI: 10.1016/j.snb.2014.09.081

Post-print 26 p, 399.4 KB

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