An electronic nose as a non-destructive analytical tool to identify the geographical origin of portuguese olive oils from two adjacent regions
Autor(a) principal: | |
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Data de Publicação: | 2022 |
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/10198/26780 |
Resumo: | The geographical traceability of extra virgin olive oils (EVOO) is of paramount importance for oil chain actors and consumers. Oils produced in two adjacent Portuguese regions, Côa (36 oils) and Douro (31 oils), were evaluated and fulfilled the European legal thresholds for EVOO categorization. Compared to the Douro region, oils from Côa had higher total phenol contents (505 versus 279 mg GAE/kg) and greater oxidative stabilities (17.5 versus 10.6 h). The majority of Côa oils were fruity-green, bitter, and pungent oils. Conversely, Douro oils exhibited a more intense fruity-ripe and sweet sensation. Accordingly, different volatiles were detected, belonging to eight chemical families, from which aldehydes were the most abundant. Additionally, all oils were evaluated using a lab-made electronic nose, with metal oxide semiconductor sensors. The electrical fingerprints, together with principal component analysis, enabled the unsupervised recognition of the oils’ geographical origin, and their successful supervised linear discrimination (sensitivity of 98.5% and specificity of 98.4%; internal validation). The E-nose also quantified the contents of the two main volatile chemical classes (alcohols and aldehydes) and of the total volatiles content, for the studied olive oils split by geographical origin, using multivariate linear regression models (0.981 < R2 < 0.998 and 0.40 < RMSE < 2.79 mg/kg oil; internal validation). The E-nose-MOS was shown to be a fast, green, non-invasive and cost-effective tool for authenticating the geographical origin of the studied olive oils and to estimate the contents of the most abundant chemical classes of volatiles. |
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An electronic nose as a non-destructive analytical tool to identify the geographical origin of portuguese olive oils from two adjacent regionsEVOO qualitySensory analysisOxidative stabilityMetal oxide semiconductor sensorsMultivariate qualitative-quantitative analysisResistance electrical signalsFeature extraction parametersThe geographical traceability of extra virgin olive oils (EVOO) is of paramount importance for oil chain actors and consumers. Oils produced in two adjacent Portuguese regions, Côa (36 oils) and Douro (31 oils), were evaluated and fulfilled the European legal thresholds for EVOO categorization. Compared to the Douro region, oils from Côa had higher total phenol contents (505 versus 279 mg GAE/kg) and greater oxidative stabilities (17.5 versus 10.6 h). The majority of Côa oils were fruity-green, bitter, and pungent oils. Conversely, Douro oils exhibited a more intense fruity-ripe and sweet sensation. Accordingly, different volatiles were detected, belonging to eight chemical families, from which aldehydes were the most abundant. Additionally, all oils were evaluated using a lab-made electronic nose, with metal oxide semiconductor sensors. The electrical fingerprints, together with principal component analysis, enabled the unsupervised recognition of the oils’ geographical origin, and their successful supervised linear discrimination (sensitivity of 98.5% and specificity of 98.4%; internal validation). The E-nose also quantified the contents of the two main volatile chemical classes (alcohols and aldehydes) and of the total volatiles content, for the studied olive oils split by geographical origin, using multivariate linear regression models (0.981 < R2 < 0.998 and 0.40 < RMSE < 2.79 mg/kg oil; internal validation). The E-nose-MOS was shown to be a fast, green, non-invasive and cost-effective tool for authenticating the geographical origin of the studied olive oils and to estimate the contents of the most abundant chemical classes of volatiles.The authors are grateful to the Foundation for Science and Technology (FCT, Portugal) for financial support by national funds FCT/MCTES (PIDDAC) to CIMO (UIDB/00690/2020 and UIDP/00690/2020), to CEB (UIDB/04469/2020) and to the Associate Laboratory SusTEC (LA/P/0007/2020). The authors are also grateful to the “Project OLIVECOA—Centenarian olive trees of Côa Valley region: rediscovering the past to valorize the future” (ref. COA/BRB/0035/2019), financed by FCT (Portugal). 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 IPBRodrigues, NunoFerreiro, Nuno ManuelVeloso, Ana C.A.Pereira, J.A.Peres, António M.2023-02-07T15:56:52Z20222022-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10198/26780engRodrigues, Nuno; Ferreiro, Nuno; Veloso, Ana C.A.; Pereira, J.A.; Peres, António M. (2022). An electronic nose as a non-destructive analytical tool to identify the geographical origin of portuguese olive oils from two adjacent regions. Sensors. ISSN 1424-3210. 22:24, p. 1-141424-321010.3390/s222496511424-8220info: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:RCAAP2023-11-21T10:59:38Zoai:bibliotecadigital.ipb.pt:10198/26780Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T23:17:13.372127Repositório 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 |
An electronic nose as a non-destructive analytical tool to identify the geographical origin of portuguese olive oils from two adjacent regions |
title |
An electronic nose as a non-destructive analytical tool to identify the geographical origin of portuguese olive oils from two adjacent regions |
spellingShingle |
An electronic nose as a non-destructive analytical tool to identify the geographical origin of portuguese olive oils from two adjacent regions Rodrigues, Nuno EVOO quality Sensory analysis Oxidative stability Metal oxide semiconductor sensors Multivariate qualitative-quantitative analysis Resistance electrical signals Feature extraction parameters |
title_short |
An electronic nose as a non-destructive analytical tool to identify the geographical origin of portuguese olive oils from two adjacent regions |
title_full |
An electronic nose as a non-destructive analytical tool to identify the geographical origin of portuguese olive oils from two adjacent regions |
title_fullStr |
An electronic nose as a non-destructive analytical tool to identify the geographical origin of portuguese olive oils from two adjacent regions |
title_full_unstemmed |
An electronic nose as a non-destructive analytical tool to identify the geographical origin of portuguese olive oils from two adjacent regions |
title_sort |
An electronic nose as a non-destructive analytical tool to identify the geographical origin of portuguese olive oils from two adjacent regions |
author |
Rodrigues, Nuno |
author_facet |
Rodrigues, Nuno Ferreiro, Nuno Manuel Veloso, Ana C.A. Pereira, J.A. Peres, António M. |
author_role |
author |
author2 |
Ferreiro, Nuno Manuel Veloso, Ana C.A. Pereira, J.A. Peres, António M. |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Biblioteca Digital do IPB |
dc.contributor.author.fl_str_mv |
Rodrigues, Nuno Ferreiro, Nuno Manuel Veloso, Ana C.A. Pereira, J.A. Peres, António M. |
dc.subject.por.fl_str_mv |
EVOO quality Sensory analysis Oxidative stability Metal oxide semiconductor sensors Multivariate qualitative-quantitative analysis Resistance electrical signals Feature extraction parameters |
topic |
EVOO quality Sensory analysis Oxidative stability Metal oxide semiconductor sensors Multivariate qualitative-quantitative analysis Resistance electrical signals Feature extraction parameters |
description |
The geographical traceability of extra virgin olive oils (EVOO) is of paramount importance for oil chain actors and consumers. Oils produced in two adjacent Portuguese regions, Côa (36 oils) and Douro (31 oils), were evaluated and fulfilled the European legal thresholds for EVOO categorization. Compared to the Douro region, oils from Côa had higher total phenol contents (505 versus 279 mg GAE/kg) and greater oxidative stabilities (17.5 versus 10.6 h). The majority of Côa oils were fruity-green, bitter, and pungent oils. Conversely, Douro oils exhibited a more intense fruity-ripe and sweet sensation. Accordingly, different volatiles were detected, belonging to eight chemical families, from which aldehydes were the most abundant. Additionally, all oils were evaluated using a lab-made electronic nose, with metal oxide semiconductor sensors. The electrical fingerprints, together with principal component analysis, enabled the unsupervised recognition of the oils’ geographical origin, and their successful supervised linear discrimination (sensitivity of 98.5% and specificity of 98.4%; internal validation). The E-nose also quantified the contents of the two main volatile chemical classes (alcohols and aldehydes) and of the total volatiles content, for the studied olive oils split by geographical origin, using multivariate linear regression models (0.981 < R2 < 0.998 and 0.40 < RMSE < 2.79 mg/kg oil; internal validation). The E-nose-MOS was shown to be a fast, green, non-invasive and cost-effective tool for authenticating the geographical origin of the studied olive oils and to estimate the contents of the most abundant chemical classes of volatiles. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022 2022-01-01T00:00:00Z 2023-02-07T15:56:52Z |
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/10198/26780 |
url |
http://hdl.handle.net/10198/26780 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Rodrigues, Nuno; Ferreiro, Nuno; Veloso, Ana C.A.; Pereira, J.A.; Peres, António M. (2022). An electronic nose as a non-destructive analytical tool to identify the geographical origin of portuguese olive oils from two adjacent regions. Sensors. ISSN 1424-3210. 22:24, p. 1-14 1424-3210 10.3390/s22249651 1424-8220 |
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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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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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) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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