Mostrar el registro sencillo del ítem

dc.contributor.authorRodríguez Méndez, María Luz 
dc.contributor.authorCetó, Xavier
dc.contributor.authorValle, Manel del
dc.contributor.authorApetrei, Constantin
dc.date.accessioned2018-07-16T08:31:48Z
dc.date.issued2014
dc.identifier.citationElectrochimica Acta vol. 120 p. 180-186es
dc.identifier.issn0925-4005es
dc.identifier.urihttp://uvadoc.uva.es/handle/10324/30694
dc.descriptionProducción Científicaes
dc.description.abstractIn this work, two sets of voltammetric sensors -prepared using different strategies- have been combined in an electronic tongue to evaluate the complete antioxidant profile of red wines. To this aim, wine samples were analyzed with the whole set of sensors. In order to reduce the large dimensionality of the data set while keeping the relevant information provided by the sensors, two different methods of feature selection and data compression were used (the kernels method and Discrete Wavelet Transform feature extraction method). Then, the coefficients obtained were used as the input variables of Principal Component Analysis (to evaluate the capability of discrimination. Partial-least squares regression (PLS) and artificial neural networks (ANNs) were performer to build the quantitative prediction models that allowed the quantification of the antioxidant capacity of the tested wines.es
dc.format.mimetypeapplication/pdfes
dc.language.isoenges
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.titleEvaluation of red wines antioxidant capacity by means of a voltammetric e-tongue with an optimized sensor arrayes
dc.typeinfo:eu-repo/semantics/articlees
dc.identifier.doi10.1016/j.electacta.2013.12.079es
dc.peerreviewedSIes
dc.description.embargo2022-07-7es
dc.description.lift2022-07-07
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International


Ficheros en el ítem

Thumbnail

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem