2026-04-17T13:53:26Zhttps://recercat.cat/oai/request

oai:recercat.cat:2072/4661242026-03-28T08:21:16Zcom_2072_98col_2072_378192

00925njm 22002777a 4500 dc Cetó Alsedà, Xavier author González-Calabuig, Andreu author Crespo, Nora author Pérez, Sandra author Capdevila Mestres, Josefa author Puig-Pujol, Anna author Valle Zafra, Manuel del author 2017 Altres ajuts: ICREA Academia This work reports the application of an electronic tongue as a tool towards the analysis of wine in tasks such as its discrimination based on the maturing in barrels or the prediction of the global scores assigned by a sensory panel. To this aim, red wine samples were first analysed with the voltammetric sensor array, without performing any sample pretreatment. Afterwards, obtained responses were preprocessed employing fast Fourier transform (FFT) for the compression and reduction of signal complexity, and obtained coefficients were then used as inputs to build the qualitative and quantitative models employing either linear discriminant analysis (LDA) or partial least squares regression (PLS), respectively. Satisfactory results were obtained overall, with a classification rate of 100% in the discrimination of the type of barrel used during wine maturing, a normalized NRMSE of 0.077 in the estimation of ageing time (months) or 0.11 in the prediction of the scores (0-10) from a trained sensory panel (all for the external test subset). Ageing Electronic tongue Partial least squares regression Sensory panel Voltammetric sensors Wine Electronic tongues to assess wine sensory descriptors