Publication
Classification of olive oils according to sensory defects using a potentiometric electronic tongue
| dc.contributor.author | Silva, Lucas M. | |
| dc.contributor.author | Dias, L.G. | |
| dc.contributor.author | Rodrigues, Nuno | |
| dc.contributor.author | Veloso, Ana C.A. | |
| dc.contributor.author | Rebello, Ligia P.G. | |
| dc.contributor.author | Pereira, J.A. | |
| dc.contributor.author | Peres, António M. | |
| dc.date.accessioned | 2020-02-27T16:29:48Z | |
| dc.date.available | 2020-02-27T16:29:48Z | |
| dc.date.issued | 2017 | |
| dc.description.abstract | Olive oil is a highly appreciated food product being very prone to frauds. Olive oils may be graded as extra-virgin, virgin or lampante. This classification is attributed according to legal requirements, including chemical parameters and sensorial analysis. Among the organoleptic sensations, the capability of perceiving the presence or absence of sensory defects plays a key role for olive oils grade classification. This task is time-consuming and quite expensive, requiring the use of an official taste panel, which can only evaluate a low number of samples per day. In this work, an electronic tongue is proposed to discriminate olive oils according to the defect predominantly perceived (winey-vinegary, wet-wood, rancid and fusty/muddy sediment), by a trained sensory panel. Sub-sets of potentiometric signal profiles obtained from the lipid sensor membranes of the taste electrochemical device were selected using a simulated annealing meta-heuristic algorithm, allowing establishing classification linear discriminant model, which showed a predictive success classification rate of 81% for leave-one-out or cross-validation procedure. The satisfactory predictive performance achieved pointed out the practical potential of using this artificial taste sensor as a complementary methodology for olive oil sensory analysis. | pt_PT |
| dc.description.sponsorship | This work was financially supported by Project POCI- 01–0145-FEDER-006984 – Associate Laboratory LSRE-LCM and by Project UID/QUI/00616/2013 – CQ-VR both funded by FEDER - Fundo Europeu de Desenvolvimento Regional through COMPETE2020 - Programa Operacional Competitividade e Internacionalização (POCI) – and by national funds through FCT - Fundac ão para a Cie ncia e a Tecnologia, Portugal. Strategic funding of UID/BIO/04469/2013 unit is also acknowledged. Nuno Rodrigues thanks FCT, POPH-QREN and FSE for the Ph.D. Grant (SFRH/BD/104038/2014). | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.citation | Silva, Lucas M.; Dias, L.G.; Rodrigues, Nuno; Veloso, Ana C.A.; Rebello, Ligia P.G.; Pereira, J.A.; Peres, António M. (2017). Classification of olive oils according to sensory defects using a potentiometric electronic tongue. In XVIII Simposio Científico-Técnico de Expoliva 2017. Jaén. p. 1-4. ISBN 978-84-946839-1-6 | pt_PT |
| dc.identifier.isbn | 978-84-946839-1-6 | |
| dc.identifier.uri | http://hdl.handle.net/10198/20743 | |
| dc.language.iso | eng | pt_PT |
| dc.peerreviewed | yes | pt_PT |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc/4.0/ | pt_PT |
| dc.subject | Olive oil | pt_PT |
| dc.subject | Sensory analysis | pt_PT |
| dc.subject | Sensory defects | pt_PT |
| dc.subject | Potentiometric electronic tongue | pt_PT |
| dc.subject | Chemometrics | pt_PT |
| dc.title | Classification of olive oils according to sensory defects using a potentiometric electronic tongue | pt_PT |
| dc.type | conference paper | |
| dspace.entity.type | Publication | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/5876/UID%2FBIO%2F04469%2F2013/PT | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/5876/UID%2FQUI%2F00616%2F2013/PT | |
| oaire.citation.conferencePlace | Jaén, Espanha | pt_PT |
| oaire.citation.title | Expoliva- XVIII Simposium Cinetífico-Técnico | pt_PT |
| oaire.fundingStream | 5876 | |
| oaire.fundingStream | 5876 | |
| person.familyName | Dias | |
| person.familyName | Rodrigues | |
| person.familyName | Pereira | |
| person.familyName | Peres | |
| person.givenName | Luís G. | |
| person.givenName | Nuno | |
| person.givenName | José Alberto | |
| person.givenName | António M. | |
| person.identifier | 107333 | |
| person.identifier.ciencia-id | 2F11-9092-FAAF | |
| person.identifier.ciencia-id | F41D-B424-5F78 | |
| person.identifier.ciencia-id | 611F-80B2-A7C1 | |
| person.identifier.ciencia-id | CF16-5443-F420 | |
| person.identifier.orcid | 0000-0002-1210-4259 | |
| person.identifier.orcid | 0000-0002-9305-0976 | |
| person.identifier.orcid | 0000-0002-2260-0600 | |
| person.identifier.orcid | 0000-0001-6595-9165 | |
| person.identifier.rid | L-6798-2014 | |
| person.identifier.rid | I-8470-2012 | |
| person.identifier.scopus-author-id | 23569169900 | |
| person.identifier.scopus-author-id | 55258560600 | |
| person.identifier.scopus-author-id | 57204366348 | |
| person.identifier.scopus-author-id | 7102331969 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| rcaap.rights | restrictedAccess | pt_PT |
| rcaap.type | conferenceObject | pt_PT |
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