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Analysis of Phenolic Content in Grape Seeds and Skins by Means of a Bio-Electronic Tongue.
Garcia-Cabezon, Cristina; Gobbi Teixeira, Guilherme; Dias, Luís Guimaraes; Salvo-Comino, Coral; García-Hernandez, Celia; Rodriguez-Mendez, Maria Luz; Martin-Pedrosa, Fernando.
Afiliación
  • Garcia-Cabezon C; Department of Materials Science, Universidad de Valladolid, 47011 Valladolid, Spain.
  • Gobbi Teixeira G; Centro de Investigação de Montanha (CIMO), ESA, Instituto Politécnico de Bragança, 5301 Bragança, Portugal.
  • Dias LG; Centro de Investigação de Montanha (CIMO), ESA, Instituto Politécnico de Bragança, 5301 Bragança, Portugal.
  • Salvo-Comino C; Group UVaSens, Escuela de Ingenierías Industriales, Universidad de Valladolid, Paseo del Cauce, 59, 47011 Valladolid, Spain.
  • García-Hernandez C; Group UVaSens, Escuela de Ingenierías Industriales, Universidad de Valladolid, Paseo del Cauce, 59, 47011 Valladolid, Spain.
  • Rodriguez-Mendez ML; Group UVaSens, Escuela de Ingenierías Industriales, Universidad de Valladolid, Paseo del Cauce, 59, 47011 Valladolid, Spain.
  • Martin-Pedrosa F; Department of Materials Science, Universidad de Valladolid, 47011 Valladolid, Spain.
Sensors (Basel) ; 20(15)2020 Jul 27.
Article en En | MEDLINE | ID: mdl-32727151
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.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Vitis / Nariz Electrónica Tipo de estudio: Prognostic_studies Idioma: En Revista: Sensors (Basel) Año: 2020 Tipo del documento: Article País de afiliación: España

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Vitis / Nariz Electrónica Tipo de estudio: Prognostic_studies Idioma: En Revista: Sensors (Basel) Año: 2020 Tipo del documento: Article País de afiliación: España