Evidence map›Paper›PMID 32727151›Full record

ArticleSensors (Basel, Switzerland)2020

Analysis of Phenolic Content in Grape Seeds and Skins by Means of a Bio-Electronic Tongue.

Cristina Garcia-Cabezon, Guilherme Gobbi Teixeira, Luís Guimaraes Dias, Coral Salvo-Comino, Celia García-Hernandez, Maria Luz Rodriguez-Mendez, Fernando Martin-Pedrosa

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 26% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 2 countries.

Cristina Garcia-CabezonDepartment of Materials Science, Universidad de Valladolid, 47011 Valladolid, Spain.ORCID 0000-0003-0524-5931
Guilherme Gobbi TeixeiraCentro de Investigação de Montanha (CIMO), ESA, Instituto Politécnico de Bragança, 5301 Bragança, Portugal.ORCID 0000-0002-3734-1592
Luís Guimaraes DiasCentro de Investigação de Montanha (CIMO), ESA, Instituto Politécnico de Bragança, 5301 Bragança, Portugal.ORCID 0000-0002-1210-4259
Coral Salvo-CominoGroup UVaSens, Escuela de Ingenierías Industriales, Universidad de Valladolid, Paseo del Cauce, 59, 47011 Valladolid, Spain.
Celia García-HernandezGroup UVaSens, Escuela de Ingenierías Industriales, Universidad de Valladolid, Paseo del Cauce, 59, 47011 Valladolid, Spain.
Maria Luz Rodriguez-MendezGroup UVaSens, Escuela de Ingenierías Industriales, Universidad de Valladolid, Paseo del Cauce, 59, 47011 Valladolid, Spain.ORCID 0000-0002-9760-362X
Fernando Martin-PedrosaDepartment of Materials Science, Universidad de Valladolid, 47011 Valladolid, Spain.ORCID 0000-0002-3110-3358
Universidad de Valladolid · ESPolytechnic Institute of Bragança · PT

Funding

Consejería de Educación, Junta de Castilla y León BES-2016-077825Consejería de Educación, Junta de Castilla y León Infraestructuras Red de Castilla y León (INFRARED)» UVA01Ministerio de Ciencia, Innovación y Universidades RTI2018-097990-B-100
6 · The paper itself

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.

Indexed as

Electronic NoseVitisElectrodesPhenolsSeedsPhenolsbio-electronic tongueelectrochemical sensorgrape seedgrape skinphenol

Identifiers

PMID32727151
PMCPMC7435477
OpenAlexW3045398222

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.