Application of a lab-made electronic nose for extra virgin olive oils commercial classification according to the perceived fruitiness intensity
Autor(a) principal: | |
---|---|
Data de Publicação: | 2021 |
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/1822/70102 |
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. |
id |
RCAP_961e1ca6817e4abef9fcb914cc139fa8 |
---|---|
oai_identifier_str |
oai:repositorium.sdum.uminho.pt:1822/70102 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
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 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 |
|
_version_ |
1799132414387159040 |