Application of a lab-made electronic nose for extra virgin olive oils commercial classification according to the perceived fruitiness intensity
Autor(a) principal: | |
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Data de Publicação: | 2018 |
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/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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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 |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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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 |
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