Multivariate geostatistical analysis of stable isotopes in Portuguese varietal extra virgin olive oils
Autor(a) principal: | |
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Data de Publicação: | 2020 |
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/10174/28293 https://doi.org/10.1016/j.microc.2020.105044 |
Resumo: | Stable isotope contents of carbon, hydrogen and oxygen are known to reflect the geo-climatic conditions under which olives grown. This study aims to unravel the correlation between some of the main geographic variables and the isotopic composition of different Portuguese varietal extra virgin olive oil (EVOO) samples. Thus, the isotopic composition (δ13C, δ18O and δ2H) of 38 EVOO samples from 11 olive varieties from 2 Portuguese regions (Alentejo and Trás-os-Montes) was studied using an elemental analyzer coupled to an isotope ratio mass spectrometry. Multivariate analysis indicated that bulk δ13C, δ2H and δ18O values were enough to significantly (P < 0.05) predict altitude, latitude, longitude, temperature, rainfall, and sea distance. This work showed that the assessment of EVOO isotopic composition give information not only on the geographic origin, but also on the environmental conditions. To the best of our knowledge, this is the first report on bulk isotopic composition of Portuguese EVOOs. |
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7160 |
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Multivariate geostatistical analysis of stable isotopes in Portuguese varietal extra virgin olive oilsExtra virgin olive oilGeographic originMulti linear regressionStable isotopesStatistical analysisStable isotope contents of carbon, hydrogen and oxygen are known to reflect the geo-climatic conditions under which olives grown. This study aims to unravel the correlation between some of the main geographic variables and the isotopic composition of different Portuguese varietal extra virgin olive oil (EVOO) samples. Thus, the isotopic composition (δ13C, δ18O and δ2H) of 38 EVOO samples from 11 olive varieties from 2 Portuguese regions (Alentejo and Trás-os-Montes) was studied using an elemental analyzer coupled to an isotope ratio mass spectrometry. Multivariate analysis indicated that bulk δ13C, δ2H and δ18O values were enough to significantly (P < 0.05) predict altitude, latitude, longitude, temperature, rainfall, and sea distance. This work showed that the assessment of EVOO isotopic composition give information not only on the geographic origin, but also on the environmental conditions. To the best of our knowledge, this is the first report on bulk isotopic composition of Portuguese EVOOs.Microchemical Journal - Elsevier2020-11-03T12:12:02Z2020-11-032020-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10174/28293http://hdl.handle.net/10174/28293https://doi.org/10.1016/j.microc.2020.105044engLaboratório Herculesntjm@uevora.ptndraquelg@uevora.ptndcmbd@uevora.ptmjbc@uevora.ptJiménez-Morillo, NicásioPalma, VeraGarcia, RaquelPereira, José AlbertoBarrocas Dias, CristinaCabrita, Maria Joãoinfo: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:RCAAP2024-01-03T19:24:18Zoai:dspace.uevora.pt:10174/28293Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:18:06.536186Repositório 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 |
Multivariate geostatistical analysis of stable isotopes in Portuguese varietal extra virgin olive oils |
title |
Multivariate geostatistical analysis of stable isotopes in Portuguese varietal extra virgin olive oils |
spellingShingle |
Multivariate geostatistical analysis of stable isotopes in Portuguese varietal extra virgin olive oils Jiménez-Morillo, Nicásio Extra virgin olive oil Geographic origin Multi linear regression Stable isotopes Statistical analysis |
title_short |
Multivariate geostatistical analysis of stable isotopes in Portuguese varietal extra virgin olive oils |
title_full |
Multivariate geostatistical analysis of stable isotopes in Portuguese varietal extra virgin olive oils |
title_fullStr |
Multivariate geostatistical analysis of stable isotopes in Portuguese varietal extra virgin olive oils |
title_full_unstemmed |
Multivariate geostatistical analysis of stable isotopes in Portuguese varietal extra virgin olive oils |
title_sort |
Multivariate geostatistical analysis of stable isotopes in Portuguese varietal extra virgin olive oils |
author |
Jiménez-Morillo, Nicásio |
author_facet |
Jiménez-Morillo, Nicásio Palma, Vera Garcia, Raquel Pereira, José Alberto Barrocas Dias, Cristina Cabrita, Maria João |
author_role |
author |
author2 |
Palma, Vera Garcia, Raquel Pereira, José Alberto Barrocas Dias, Cristina Cabrita, Maria João |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Jiménez-Morillo, Nicásio Palma, Vera Garcia, Raquel Pereira, José Alberto Barrocas Dias, Cristina Cabrita, Maria João |
dc.subject.por.fl_str_mv |
Extra virgin olive oil Geographic origin Multi linear regression Stable isotopes Statistical analysis |
topic |
Extra virgin olive oil Geographic origin Multi linear regression Stable isotopes Statistical analysis |
description |
Stable isotope contents of carbon, hydrogen and oxygen are known to reflect the geo-climatic conditions under which olives grown. This study aims to unravel the correlation between some of the main geographic variables and the isotopic composition of different Portuguese varietal extra virgin olive oil (EVOO) samples. Thus, the isotopic composition (δ13C, δ18O and δ2H) of 38 EVOO samples from 11 olive varieties from 2 Portuguese regions (Alentejo and Trás-os-Montes) was studied using an elemental analyzer coupled to an isotope ratio mass spectrometry. Multivariate analysis indicated that bulk δ13C, δ2H and δ18O values were enough to significantly (P < 0.05) predict altitude, latitude, longitude, temperature, rainfall, and sea distance. This work showed that the assessment of EVOO isotopic composition give information not only on the geographic origin, but also on the environmental conditions. To the best of our knowledge, this is the first report on bulk isotopic composition of Portuguese EVOOs. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-11-03T12:12:02Z 2020-11-03 2020-01-01T00:00:00Z |
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/10174/28293 http://hdl.handle.net/10174/28293 https://doi.org/10.1016/j.microc.2020.105044 |
url |
http://hdl.handle.net/10174/28293 https://doi.org/10.1016/j.microc.2020.105044 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Laboratório Hercules ntjm@uevora.pt nd raquelg@uevora.pt nd cmbd@uevora.pt mjbc@uevora.pt |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Microchemical Journal - Elsevier |
publisher.none.fl_str_mv |
Microchemical Journal - 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_ |
1799136663399563264 |