Examinando Artículos (Nutrición y Bromatología, Toxicología y Medicina Legal) por Agencia financiadora "Agencia Nacional de Promoción Científica y Tecnológica (ANPCyT). Argentina"
(Elsevier, 2020) Ríos-Reina, Rocío; Azcárate, Silvana M.; Camiña, José M.; Goicoechea, Héctor C.; Universidad de Sevilla. Departamento de Nutrición y Bromatología, Toxicología y Medicina Legal; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET). Argentina; Agencia Nacional de Promoción Científica y Tecnológica (ANPCyT). Argentina
Capillary electrophoresis with diode array detection (CE-DAD) and multidimensional fluorescence spectroscopy (EEM) second-order data were fused and chemometrically processed for geographical and grape variety classification of wines. Multi-levels data fusion strategies on three-way data were evaluated and compared revealing their advantages/disadvantages in the classification context. Straightforward approaches based on a series of data preprocessing and feature extraction steps were developed for each studied level. Partial least square discriminant analysis (PLS-DA) and its multi-way extension (NPLS-DA) were applied to CE-DAD, EEM and fused data matrices structured as two-way and three-way arrays, respectively. Classification results achieved on each model were evaluated through global indices such as average sensitivity non-error rate and average precision. Different degrees of improvement were observed comparing the fused matrix results with those obtained using a single one, clear benefits have been demonstrated when level of data fusion increases, achieving with the high-level strategy the best classification results.
