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dc.contributor.author | Gobbi Teixeira, Guilherme | |
dc.contributor.author | Guimarães Dias, Luís | |
dc.contributor.author | Salvo Comino, Coral | |
dc.contributor.author | García Hernández, Celia | |
dc.contributor.author | Rodríguez Méndez, María Luz | |
dc.contributor.author | Martín Pedrosa, Fernando | |
dc.date.accessioned | 2021-10-19T09:12:11Z | |
dc.date.available | 2021-10-19T09:12:11Z | |
dc.date.issued | 2020 | |
dc.identifier.citation | Sensors, 2020, vol. 20, n. 15, 4176 | es |
dc.identifier.issn | 1424-8220 | es |
dc.identifier.uri | https://uvadoc.uva.es/handle/10324/49163 | |
dc.description | Producción Científica | es |
dc.description.abstract | A bio-electronic tongue has been developed to evaluate the phenolic content of grape residues (seeds and skins) in a fast and easy way with industrial use in mind. A voltammetric electronic tongue has been designed based on carbon resin electrodes modified with tyrosinase combined with electron mediators. The presence of the phenoloxydase promotes the selectivity and specificity towards phenols. The results of multivariate analysis allowed discriminating seeds and skins according to their polyphenolic content. Partial least squares (PLS) has been used to establish regression models with parameters related to phenolic content measured by spectroscopic methods i.e., total poliphenol content (TPC) and Folin–Ciocalteu (FC) indexes. It has been shown that electronic tongue can be successfully used to predict parameters of interest with high correlation coefficients (higher than 0.99 in both calibration and prediction) and low residual errors. These values can even be improved using genetic algorithms for multivalent analysis. In this way, a fast and simple tool is available for the evaluation of these values. This advantage may be due to the fact that the electrochemical signals are directly related to the phenolic content. | es |
dc.format.mimetype | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | MDPI | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.subject.classification | Electrochemical sensor | es |
dc.subject.classification | Bio-electronic tongue | es |
dc.subject.classification | Grape seeds | es |
dc.subject.classification | Grape skin | es |
dc.subject.classification | Phenol | es |
dc.title | Analysis of phenolic content in grape seeds and skins by means of a bio-electronic tongue | es |
dc.type | info:eu-repo/semantics/article | es |
dc.rights.holder | © 2020 MDPI | es |
dc.identifier.doi | 10.3390/s20154176 | es |
dc.relation.publisherversion | https://www.mdpi.com/1424-8220/20/15/4176/htm | es |
dc.identifier.publicationfirstpage | 4176 | es |
dc.identifier.publicationissue | 15 | es |
dc.identifier.publicationtitle | Sensors | es |
dc.identifier.publicationvolume | 20 | es |
dc.peerreviewed | SI | es |
dc.description.project | Ministerio de Ciencia Innovación y Universidades-FEDER (grants RTI2018-097990-B-100 and BES-2016-077825) | es |
dc.description.project | Junta de Castilla y León-FEDER (grant VA275P18) y (Infraestructuras Red de Castilla y León (INFRARROJOS) UVA01) | es |
dc.identifier.essn | 1424-8220 | es |
dc.rights | Atribución 4.0 Internacional | * |
dc.type.hasVersion | info:eu-repo/semantics/publishedVersion | es |
dc.subject.unesco | 22 Física | es |
dc.subject.unesco | 23 Química | es |
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