Single-cultivar extra virgin olive oil classification using a potentiometric electronic tongue
Autor(a) principal: | |
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Data de Publicação: | 2014 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/1822/31730 |
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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Single-cultivar extra virgin olive oil classification using a potentiometric electronic tongueExtra virgin olive oilSingle olive cultivarPotentiometric electronic tongueLinear discriminant analysisSimulated annealing algorithmScience & TechnologyLabel 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.This work was co-financed by FCT and FEDER under Program COMPETE (Project PEst-C/EQB/LA0020/2013).ElsevierUniversidade do MinhoDias, Luís G.Fernandes, AndreiaVeloso, Ana C. A.Machado, Adélio A. S. C.Pereira, José A.Peres, António M.20142014-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/31730eng0308-81460308-814610.1016/j.foodchem.2014.03.07224799245info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-21T12:15:29Zoai:repositorium.sdum.uminho.pt:1822/31730Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:07:55.798707Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
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, Luís G. Extra virgin olive oil Single olive cultivar Potentiometric electronic tongue Linear discriminant analysis Simulated annealing algorithm Science & Technology |
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, Luís G. |
author_facet |
Dias, Luís G. Fernandes, Andreia Veloso, Ana C. A. Machado, Adélio A. S. C. Pereira, José A. Peres, António M. |
author_role |
author |
author2 |
Fernandes, Andreia Veloso, Ana C. A. Machado, Adélio A. S. C. Pereira, José A. Peres, António M. |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
Universidade do Minho |
dc.contributor.author.fl_str_mv |
Dias, Luís G. Fernandes, Andreia Veloso, Ana C. A. Machado, Adélio A. S. C. Pereira, José 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 Science & Technology |
topic |
Extra virgin olive oil Single olive cultivar Potentiometric electronic tongue Linear discriminant analysis Simulated annealing algorithm Science & Technology |
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 |
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/1822/31730 |
url |
http://hdl.handle.net/1822/31730 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
0308-8146 0308-8146 10.1016/j.foodchem.2014.03.072 24799245 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier |
publisher.none.fl_str_mv |
Elsevier |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799132499572424704 |