Application of a lab-made electronic nose for extra virgin olive oils commercial classification according to the perceived fruitiness intensity

Detalhes bibliográficos
Autor(a) principal: Teixeira, Guilherme Gobbi
Data de Publicação: 2018
Outros Autores: Dias, L.G., Rodrigues, Nuno, Marx, Ítala, Veloso, Ana C.A., Pereira, J.A., Peres, António M.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10198/24361
Resumo: An electronic nose, comprising nine metal oxide sensors, has been built aiming to classify olive oils according to the fruity intensity commercial grade (ripely fruity or light, medium and intense greenly fruity), following the European regulated complementary terminology. The lab-made sensor device was capable to differentiate standard aqueous solutions (acetic acid, cis-3-hexenyl, cis-3-hexen-1-ol, hexanal, 1-hexenol and nonanal) that mimicked positive sensations (e.g., fatty, floral, fruit, grass, green and green leaves attributes) and negative attributes (e.g., sour and vinegary defects), as well as to semi-quantitatively classify them according to the concentration ranges (0.05–2.25 mg/kg). For that, unsupervised (principal component analysis) and supervised (linear discriminant analysis: sensitivity of 92% for leave-one-out cross validation) classification multivariate models were established based on nine or six gas sensors, respectively. It was also showed that the built E-nose allowed differentiating/discriminating (sensitivity of 81% for leave-one-out cross validation) extra virgin olive oils according to the perceived intensity of fruitiness as ripely fruity, light, medium or intense greenly fruity. In conclusion, the gas sensor device could be used as a practical preliminary non-destructive tool for guaranteeing the correctness of olive oil fruitiness intensity labelling.
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spelling Application of a lab-made electronic nose for extra virgin olive oils commercial classification according to the perceived fruitiness intensityElectronic noseFruity intensity commercial gradeLinear discriminant analysisMetal oxide sensorsOlive oilSimulated annealing algorithmAn electronic nose, comprising nine metal oxide sensors, has been built aiming to classify olive oils according to the fruity intensity commercial grade (ripely fruity or light, medium and intense greenly fruity), following the European regulated complementary terminology. The lab-made sensor device was capable to differentiate standard aqueous solutions (acetic acid, cis-3-hexenyl, cis-3-hexen-1-ol, hexanal, 1-hexenol and nonanal) that mimicked positive sensations (e.g., fatty, floral, fruit, grass, green and green leaves attributes) and negative attributes (e.g., sour and vinegary defects), as well as to semi-quantitatively classify them according to the concentration ranges (0.05–2.25 mg/kg). For that, unsupervised (principal component analysis) and supervised (linear discriminant analysis: sensitivity of 92% for leave-one-out cross validation) classification multivariate models were established based on nine or six gas sensors, respectively. It was also showed that the built E-nose allowed differentiating/discriminating (sensitivity of 81% for leave-one-out cross validation) extra virgin olive oils according to the perceived intensity of fruitiness as ripely fruity, light, medium or intense greenly fruity. In conclusion, the gas sensor device could be used as a practical preliminary non-destructive tool for guaranteeing the correctness of olive oil fruitiness intensity labelling.The authors are grateful to the Foundation for Science and Technology (FCT, Portugal) for financial support by national funds FCT/MCTES to CIMO (UIDB/00690/2020), to CEB (UIDB/04469/2020) and to BioTecNorte operation (NORTE-01-0145-FEDER-000004) and Project “GreenHealth - Digital strategies in biological assets to improve wellbeing and promote green health” (Norte-01-0145-FEDER-000042) funded by the European Regional Development Fund (ERDF) under the scope of Regional Operational Program North 2020. Ítala Marx acknowledges the Ph.D. research grant (SFRH/BD/137283/2018) provided by FCT. Nuno Rodrigues thanks the National funding by FCT Foundation for Science and Technology, P.I., through the Institutional Scientific Employment Program-contract.Biblioteca Digital do IPBTeixeira, Guilherme GobbiDias, L.G.Rodrigues, NunoMarx, ÍtalaVeloso, Ana C.A.Pereira, J.A.Peres, António M.2018-01-19T10:00:00Z20212021-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10198/24361engTeixeira, Guilherme G.; Dias, Luís G.; Rodrigues, Nuno; Marx, Ítala M.G.; Veloso, Ana C.A.; Pereira, José A.; Peres, António M. (2021). Application of a lab-made electronic nose for extra virgin olive oils commercial classification according to the perceived fruitiness intensity. Talanta. ISSN 0039-9140. 226, p. 1-0039-914010.1016/j.talanta.2021.122122info: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:RCAAP2024-03-06T01:21:13Zoai:bibliotecadigital.ipb.pt:10198/24361Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T23:15:12.549060Repositório 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 Application of a lab-made electronic nose for extra virgin olive oils commercial classification according to the perceived fruitiness intensity
title Application of a lab-made electronic nose for extra virgin olive oils commercial classification according to the perceived fruitiness intensity
spellingShingle Application of a lab-made electronic nose for extra virgin olive oils commercial classification according to the perceived fruitiness intensity
Teixeira, Guilherme Gobbi
Electronic nose
Fruity intensity commercial grade
Linear discriminant analysis
Metal oxide sensors
Olive oil
Simulated annealing algorithm
title_short Application of a lab-made electronic nose for extra virgin olive oils commercial classification according to the perceived fruitiness intensity
title_full Application of a lab-made electronic nose for extra virgin olive oils commercial classification according to the perceived fruitiness intensity
title_fullStr Application of a lab-made electronic nose for extra virgin olive oils commercial classification according to the perceived fruitiness intensity
title_full_unstemmed Application of a lab-made electronic nose for extra virgin olive oils commercial classification according to the perceived fruitiness intensity
title_sort Application of a lab-made electronic nose for extra virgin olive oils commercial classification according to the perceived fruitiness intensity
author Teixeira, Guilherme Gobbi
author_facet Teixeira, Guilherme Gobbi
Dias, L.G.
Rodrigues, Nuno
Marx, Ítala
Veloso, Ana C.A.
Pereira, J.A.
Peres, António M.
author_role author
author2 Dias, L.G.
Rodrigues, Nuno
Marx, Ítala
Veloso, Ana C.A.
Pereira, J.A.
Peres, António M.
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv Biblioteca Digital do IPB
dc.contributor.author.fl_str_mv Teixeira, Guilherme Gobbi
Dias, L.G.
Rodrigues, Nuno
Marx, Ítala
Veloso, Ana C.A.
Pereira, J.A.
Peres, António M.
dc.subject.por.fl_str_mv Electronic nose
Fruity intensity commercial grade
Linear discriminant analysis
Metal oxide sensors
Olive oil
Simulated annealing algorithm
topic Electronic nose
Fruity intensity commercial grade
Linear discriminant analysis
Metal oxide sensors
Olive oil
Simulated annealing algorithm
description An electronic nose, comprising nine metal oxide sensors, has been built aiming to classify olive oils according to the fruity intensity commercial grade (ripely fruity or light, medium and intense greenly fruity), following the European regulated complementary terminology. The lab-made sensor device was capable to differentiate standard aqueous solutions (acetic acid, cis-3-hexenyl, cis-3-hexen-1-ol, hexanal, 1-hexenol and nonanal) that mimicked positive sensations (e.g., fatty, floral, fruit, grass, green and green leaves attributes) and negative attributes (e.g., sour and vinegary defects), as well as to semi-quantitatively classify them according to the concentration ranges (0.05–2.25 mg/kg). For that, unsupervised (principal component analysis) and supervised (linear discriminant analysis: sensitivity of 92% for leave-one-out cross validation) classification multivariate models were established based on nine or six gas sensors, respectively. It was also showed that the built E-nose allowed differentiating/discriminating (sensitivity of 81% for leave-one-out cross validation) extra virgin olive oils according to the perceived intensity of fruitiness as ripely fruity, light, medium or intense greenly fruity. In conclusion, the gas sensor device could be used as a practical preliminary non-destructive tool for guaranteeing the correctness of olive oil fruitiness intensity labelling.
publishDate 2018
dc.date.none.fl_str_mv 2018-01-19T10:00:00Z
2021
2021-01-01T00:00:00Z
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/10198/24361
url http://hdl.handle.net/10198/24361
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Teixeira, Guilherme G.; Dias, Luís G.; Rodrigues, Nuno; Marx, Ítala M.G.; Veloso, Ana C.A.; Pereira, José A.; Peres, António M. (2021). Application of a lab-made electronic nose for extra virgin olive oils commercial classification according to the perceived fruitiness intensity. Talanta. ISSN 0039-9140. 226, p. 1-
0039-9140
10.1016/j.talanta.2021.122122
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.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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