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 G.
Data de Publicação: 2021
Outros Autores: Dias, Luís G., Rodrigues, Nuno, Marx, Ítala M. G., Veloso, Ana C. A., Pereira, José 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/1822/70102
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 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 to 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 intensityOlive oilFruity intensity commercial gradeElectronic noseMetal oxide sensorsLinear discriminant analysisSimulated annealing algorithmScience & TechnologyAn 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 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 to 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. ´Itala Marx acknowledges the Ph.D. research grant (SFRH/BD/137283/2018) provided by FCT. Nuno Rodrigues thanks the National funding by FCTFoundation for Science and Technology, P.I., through the Institutional Scientific Employment Program-contract.info:eu-repo/semantics/publishedVersionElsevierUniversidade do MinhoTeixeira, Guilherme G.Dias, Luís G.Rodrigues, NunoMarx, Ítala M. G.Veloso, Ana C. A.Pereira, José A.Peres, António M.2021-052021-05-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/70102engTeixeira, Guilherme G.; Dias, Luís G.; Rodrigues, Nuno; Marx, Ítala M. G.; Veloso, Ana C. A.; Pereira, José A.; Peres, António M., Application of a lab-made electronic nose for extra virgin olive oils commercial classification according to the perceived fruitiness intensity. Talanta, 226(122122), 20210039-914010.1016/j.talanta.2021.12212233676677https://www.sciencedirect.com/science/article/pii/S0039914021000436#!info: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:RCAAP2023-07-21T12:10:01Zoai:repositorium.sdum.uminho.pt:1822/70102Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:01:33.486184Repositório 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 G.
Olive oil
Fruity intensity commercial grade
Electronic nose
Metal oxide sensors
Linear discriminant analysis
Simulated annealing algorithm
Science & Technology
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 G.
author_facet Teixeira, Guilherme G.
Dias, Luís G.
Rodrigues, Nuno
Marx, Ítala M. G.
Veloso, Ana C. A.
Pereira, José A.
Peres, António M.
author_role author
author2 Dias, Luís G.
Rodrigues, Nuno
Marx, Ítala M. G.
Veloso, Ana C. A.
Pereira, José A.
Peres, António M.
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.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.
dc.subject.por.fl_str_mv Olive oil
Fruity intensity commercial grade
Electronic nose
Metal oxide sensors
Linear discriminant analysis
Simulated annealing algorithm
Science & Technology
topic Olive oil
Fruity intensity commercial grade
Electronic nose
Metal oxide sensors
Linear discriminant analysis
Simulated annealing algorithm
Science & Technology
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 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 to 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 2021
dc.date.none.fl_str_mv 2021-05
2021-05-01T00:00:00Z
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/1822/70102
url http://hdl.handle.net/1822/70102
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., Application of a lab-made electronic nose for extra virgin olive oils commercial classification according to the perceived fruitiness intensity. Talanta, 226(122122), 2021
0039-9140
10.1016/j.talanta.2021.122122
33676677
https://www.sciencedirect.com/science/article/pii/S0039914021000436#!
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
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instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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