Geographical discrimination of olive oils from Cv. 'Galega Vulgar'
Autor(a) principal: | |
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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/10198/23034 |
Resumo: | Olive oils from seven Portuguese regions were selected to study the effect of the geographical origin on the oils' composition. Quality parameters, fatty acids, tocopherols, hydroxytyrosol and tyrosol derivatives, and oxidative stability were evaluated. All olive oils could be classified as extra virgin, and the geographical origin significantly affected the oils chemical composition. Principal component analysis further confirmed the significant impact of the geographical origin on the composition and, indirectly, on stability of the oils, showing that the evaluated parameters could be used as markers for geographical origin identification. Alternatively, Fourier transform infrared spectroscopy was applied, allowing to establish a linear discriminant model that correctly identified the geographical origin of the olive oils with a mean sensitivity of 99 +/- 3 % (internal validation), confirming the impact of the oil origin on its characteristics. This finding allowed foreseeing the future application of the spectroscopy approach as a green, fast and non-invasive authentication tool. |
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Geographical discrimination of olive oils from Cv. 'Galega Vulgar'Fatty acidsHydroxytyrosolTocopherolsOxidative stabilityFTIRLinear Discriminant AnalysisOlive oils from seven Portuguese regions were selected to study the effect of the geographical origin on the oils' composition. Quality parameters, fatty acids, tocopherols, hydroxytyrosol and tyrosol derivatives, and oxidative stability were evaluated. All olive oils could be classified as extra virgin, and the geographical origin significantly affected the oils chemical composition. Principal component analysis further confirmed the significant impact of the geographical origin on the composition and, indirectly, on stability of the oils, showing that the evaluated parameters could be used as markers for geographical origin identification. Alternatively, Fourier transform infrared spectroscopy was applied, allowing to establish a linear discriminant model that correctly identified the geographical origin of the olive oils with a mean sensitivity of 99 +/- 3 % (internal validation), confirming the impact of the oil origin on its characteristics. This finding allowed foreseeing the future application of the spectroscopy approach as a green, fast and non-invasive authentication tool.ElsevierBiblioteca Digital do IPBRodrigues, NunoPeres, FátimaCasal, SusanaSantamaria-Echart, ArantzazuBarreiro, M.F.Peres, António M.Pereira, J.A.2021-01-05T16:00:48Z20232023-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10198/23034engRodrigues, Nuno; Peres, Fátima; Casal, Susana; Santamaria-Echart, Arantzazu; Barreiro, M.F.; Peres, António M.; Pereira, Jose Alberto (2023). Geographical discrimination of olive oils from Cv. 'Galega Vulgar'. Food Chemistry. eISSN 1873-7072. 398, p. 1-70308-814610.1016/j.foodchem.2022.1339451873-7072info: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:RCAAP2024-02-07T01:18:23Zoai:bibliotecadigital.ipb.pt:10198/23034Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T23:14:05.449747Repositório 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 |
Geographical discrimination of olive oils from Cv. 'Galega Vulgar' |
title |
Geographical discrimination of olive oils from Cv. 'Galega Vulgar' |
spellingShingle |
Geographical discrimination of olive oils from Cv. 'Galega Vulgar' Rodrigues, Nuno Fatty acids Hydroxytyrosol Tocopherols Oxidative stability FTIR Linear Discriminant Analysis |
title_short |
Geographical discrimination of olive oils from Cv. 'Galega Vulgar' |
title_full |
Geographical discrimination of olive oils from Cv. 'Galega Vulgar' |
title_fullStr |
Geographical discrimination of olive oils from Cv. 'Galega Vulgar' |
title_full_unstemmed |
Geographical discrimination of olive oils from Cv. 'Galega Vulgar' |
title_sort |
Geographical discrimination of olive oils from Cv. 'Galega Vulgar' |
author |
Rodrigues, Nuno |
author_facet |
Rodrigues, Nuno Peres, Fátima Casal, Susana Santamaria-Echart, Arantzazu Barreiro, M.F. Peres, António M. Pereira, J.A. |
author_role |
author |
author2 |
Peres, Fátima Casal, Susana Santamaria-Echart, Arantzazu Barreiro, M.F. Peres, António M. Pereira, J.A. |
author2_role |
author author author author author author |
dc.contributor.none.fl_str_mv |
Biblioteca Digital do IPB |
dc.contributor.author.fl_str_mv |
Rodrigues, Nuno Peres, Fátima Casal, Susana Santamaria-Echart, Arantzazu Barreiro, M.F. Peres, António M. Pereira, J.A. |
dc.subject.por.fl_str_mv |
Fatty acids Hydroxytyrosol Tocopherols Oxidative stability FTIR Linear Discriminant Analysis |
topic |
Fatty acids Hydroxytyrosol Tocopherols Oxidative stability FTIR Linear Discriminant Analysis |
description |
Olive oils from seven Portuguese regions were selected to study the effect of the geographical origin on the oils' composition. Quality parameters, fatty acids, tocopherols, hydroxytyrosol and tyrosol derivatives, and oxidative stability were evaluated. All olive oils could be classified as extra virgin, and the geographical origin significantly affected the oils chemical composition. Principal component analysis further confirmed the significant impact of the geographical origin on the composition and, indirectly, on stability of the oils, showing that the evaluated parameters could be used as markers for geographical origin identification. Alternatively, Fourier transform infrared spectroscopy was applied, allowing to establish a linear discriminant model that correctly identified the geographical origin of the olive oils with a mean sensitivity of 99 +/- 3 % (internal validation), confirming the impact of the oil origin on its characteristics. This finding allowed foreseeing the future application of the spectroscopy approach as a green, fast and non-invasive authentication tool. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-01-05T16:00:48Z 2023 2023-01-01T00:00:00Z |
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/10198/23034 |
url |
http://hdl.handle.net/10198/23034 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Rodrigues, Nuno; Peres, Fátima; Casal, Susana; Santamaria-Echart, Arantzazu; Barreiro, M.F.; Peres, António M.; Pereira, Jose Alberto (2023). Geographical discrimination of olive oils from Cv. 'Galega Vulgar'. Food Chemistry. eISSN 1873-7072. 398, p. 1-7 0308-8146 10.1016/j.foodchem.2022.133945 1873-7072 |
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 |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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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 |
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1799135419724464128 |