Analysis of Phenolic Content in Grape Seeds and Skins by Means of a Bio-Electronic Tongue
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 medi...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-07-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/20/15/4176 |
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| author | Cristina Garcia-Cabezon Guilherme Gobbi Teixeira Luís Guimaraes Dias Coral Salvo-Comino Celia García-Hernandez Maria Luz Rodriguez-Mendez Fernando Martin-Pedrosa |
| author_facet | Cristina Garcia-Cabezon Guilherme Gobbi Teixeira Luís Guimaraes Dias Coral Salvo-Comino Celia García-Hernandez Maria Luz Rodriguez-Mendez Fernando Martin-Pedrosa |
| author_sort | Cristina Garcia-Cabezon |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T18:10:21Z |
| format | Article |
| id | doaj.art-aeac3d19e6544f2cbf8f92c896af66a7 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T18:10:21Z |
| publishDate | 2020-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-aeac3d19e6544f2cbf8f92c896af66a72023-11-20T08:08:37ZengMDPI AGSensors1424-82202020-07-012015417610.3390/s20154176Analysis of Phenolic Content in Grape Seeds and Skins by Means of a Bio-Electronic TongueCristina Garcia-Cabezon0Guilherme Gobbi Teixeira1Luís Guimaraes Dias2Coral Salvo-Comino3Celia García-Hernandez4Maria Luz Rodriguez-Mendez5Fernando Martin-Pedrosa6Department of Materials Science, Universidad de Valladolid, 47011 Valladolid, SpainCentro de Investigação de Montanha (CIMO), ESA, Instituto Politécnico de Bragança, 5301 Bragança, PortugalCentro de Investigação de Montanha (CIMO), ESA, Instituto Politécnico de Bragança, 5301 Bragança, PortugalGroup UVaSens, Escuela de Ingenierías Industriales, Universidad de Valladolid, Paseo del Cauce, 59, 47011 Valladolid, SpainGroup UVaSens, Escuela de Ingenierías Industriales, Universidad de Valladolid, Paseo del Cauce, 59, 47011 Valladolid, SpainGroup UVaSens, Escuela de Ingenierías Industriales, Universidad de Valladolid, Paseo del Cauce, 59, 47011 Valladolid, SpainDepartment of Materials Science, Universidad de Valladolid, 47011 Valladolid, SpainA 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.https://www.mdpi.com/1424-8220/20/15/4176electrochemical sensorbio-electronic tonguegrape seedgrape skinphenol |
| spellingShingle | Cristina Garcia-Cabezon Guilherme Gobbi Teixeira Luís Guimaraes Dias Coral Salvo-Comino Celia García-Hernandez Maria Luz Rodriguez-Mendez Fernando Martin-Pedrosa Analysis of Phenolic Content in Grape Seeds and Skins by Means of a Bio-Electronic Tongue Sensors electrochemical sensor bio-electronic tongue grape seed grape skin phenol |
| title | Analysis of Phenolic Content in Grape Seeds and Skins by Means of a Bio-Electronic Tongue |
| title_full | Analysis of Phenolic Content in Grape Seeds and Skins by Means of a Bio-Electronic Tongue |
| title_fullStr | Analysis of Phenolic Content in Grape Seeds and Skins by Means of a Bio-Electronic Tongue |
| title_full_unstemmed | Analysis of Phenolic Content in Grape Seeds and Skins by Means of a Bio-Electronic Tongue |
| title_short | Analysis of Phenolic Content in Grape Seeds and Skins by Means of a Bio-Electronic Tongue |
| title_sort | analysis of phenolic content in grape seeds and skins by means of a bio electronic tongue |
| topic | electrochemical sensor bio-electronic tongue grape seed grape skin phenol |
| url | https://www.mdpi.com/1424-8220/20/15/4176 |
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