Single-cultivar extra virgin olive oil classification using a potentiometric electronic tongue

Detalhes bibliográficos
Autor(a) principal: Dias, L.G.
Data de Publicação: 2014
Outros Autores: Fernandes, Andreia, Veloso, Ana C.A., Machado, Adélio A.M., Pereira, J.A., Peres, António M.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Texto Completo: http://hdl.handle.net/10198/11816
Resumo: Label authentication of monovarietal extra virgin olive oils is of great importance. A novel approach based on a potentiometric electronic tongue is proposed to classify oils obtained from single olive cultivars (Portuguese cvs. Cobrançosa, Madural, Verdeal Transmontana; Spanish cvs. Arbequina, Hojiblanca, Picual). A meta-heuristic simulated annealing algorithm was applied to select the most informative sets of sensors to establish predictive linear discriminant models. Olive oils were correctly classified according to olive cultivar (sensitivities greater than 97%) and each Spanish olive oil was satisfactorily discriminated from the Portuguese ones with the exception of cv. Arbequina (sensitivities from 61% to 98%). Also, the discriminant ability was related to the polar compounds contents of olive oils and so, indirectly, with organoleptic properties like bitterness, astringency or pungency. Therefore the proposed E-tongue can be foreseen as a useful auxiliary tool for trained sensory panels for the classification of monovarietal extra virgin olive oils.
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spelling Single-cultivar extra virgin olive oil classification using a potentiometric electronic tongueExtra virgin olive oilSingle olive cultivarPotentiometric electronic tongueLinear discriminant analysisSimulated annealing algorithmLabel authentication of monovarietal extra virgin olive oils is of great importance. A novel approach based on a potentiometric electronic tongue is proposed to classify oils obtained from single olive cultivars (Portuguese cvs. Cobrançosa, Madural, Verdeal Transmontana; Spanish cvs. Arbequina, Hojiblanca, Picual). A meta-heuristic simulated annealing algorithm was applied to select the most informative sets of sensors to establish predictive linear discriminant models. Olive oils were correctly classified according to olive cultivar (sensitivities greater than 97%) and each Spanish olive oil was satisfactorily discriminated from the Portuguese ones with the exception of cv. Arbequina (sensitivities from 61% to 98%). Also, the discriminant ability was related to the polar compounds contents of olive oils and so, indirectly, with organoleptic properties like bitterness, astringency or pungency. Therefore the proposed E-tongue can be foreseen as a useful auxiliary tool for trained sensory panels for the classification of monovarietal extra virgin olive oils.FCT and FEDER under Program COMPETE (Project PEst-C/EQB/LA0020/2013)ElsevierBiblioteca Digital do IPBDias, L.G.Fernandes, AndreiaVeloso, Ana C.A.Machado, Adélio A.M.Pereira, J.A.Peres, António M.2015-05-11T15:07:31Z20142014-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10198/11816engDias, Luís G.; Fernandes, Andreia; Veloso, Ana C.A.; Machado, Adélio A.S.C.; Pereira, José A.; Peres, António M. (2014). Single-cultivar extra virgin olive oil classification using a potentiometric electronic tongue. Food Chemistry. ISSN 0308-8146. 160, p. 321-3290308-814610.1016/j.foodchem.2014.03.072info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-02-25T12:02:41Zoai:bibliotecadigital.ipb.pt:10198/11816Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T11:28:12.729952Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Single-cultivar extra virgin olive oil classification using a potentiometric electronic tongue
title Single-cultivar extra virgin olive oil classification using a potentiometric electronic tongue
spellingShingle Single-cultivar extra virgin olive oil classification using a potentiometric electronic tongue
Dias, L.G.
Extra virgin olive oil
Single olive cultivar
Potentiometric electronic tongue
Linear discriminant analysis
Simulated annealing algorithm
title_short Single-cultivar extra virgin olive oil classification using a potentiometric electronic tongue
title_full Single-cultivar extra virgin olive oil classification using a potentiometric electronic tongue
title_fullStr Single-cultivar extra virgin olive oil classification using a potentiometric electronic tongue
title_full_unstemmed Single-cultivar extra virgin olive oil classification using a potentiometric electronic tongue
title_sort Single-cultivar extra virgin olive oil classification using a potentiometric electronic tongue
author Dias, L.G.
author_facet Dias, L.G.
Fernandes, Andreia
Veloso, Ana C.A.
Machado, Adélio A.M.
Pereira, J.A.
Peres, António M.
author_role author
author2 Fernandes, Andreia
Veloso, Ana C.A.
Machado, Adélio A.M.
Pereira, J.A.
Peres, António M.
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Biblioteca Digital do IPB
dc.contributor.author.fl_str_mv Dias, L.G.
Fernandes, Andreia
Veloso, Ana C.A.
Machado, Adélio A.M.
Pereira, J.A.
Peres, António M.
dc.subject.por.fl_str_mv Extra virgin olive oil
Single olive cultivar
Potentiometric electronic tongue
Linear discriminant analysis
Simulated annealing algorithm
topic Extra virgin olive oil
Single olive cultivar
Potentiometric electronic tongue
Linear discriminant analysis
Simulated annealing algorithm
description Label authentication of monovarietal extra virgin olive oils is of great importance. A novel approach based on a potentiometric electronic tongue is proposed to classify oils obtained from single olive cultivars (Portuguese cvs. Cobrançosa, Madural, Verdeal Transmontana; Spanish cvs. Arbequina, Hojiblanca, Picual). A meta-heuristic simulated annealing algorithm was applied to select the most informative sets of sensors to establish predictive linear discriminant models. Olive oils were correctly classified according to olive cultivar (sensitivities greater than 97%) and each Spanish olive oil was satisfactorily discriminated from the Portuguese ones with the exception of cv. Arbequina (sensitivities from 61% to 98%). Also, the discriminant ability was related to the polar compounds contents of olive oils and so, indirectly, with organoleptic properties like bitterness, astringency or pungency. Therefore the proposed E-tongue can be foreseen as a useful auxiliary tool for trained sensory panels for the classification of monovarietal extra virgin olive oils.
publishDate 2014
dc.date.none.fl_str_mv 2014
2014-01-01T00:00:00Z
2015-05-11T15:07:31Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10198/11816
url http://hdl.handle.net/10198/11816
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Dias, Luís G.; Fernandes, Andreia; Veloso, Ana C.A.; Machado, Adélio A.S.C.; Pereira, José A.; Peres, António M. (2014). Single-cultivar extra virgin olive oil classification using a potentiometric electronic tongue. Food Chemistry. ISSN 0308-8146. 160, p. 321-329
0308-8146
10.1016/j.foodchem.2014.03.072
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
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