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Predicting the shelf-life of extra virgin olive oil during storage at 22 and 50ºC, using a kinetic modelling approach

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Resumo:Olive oil (OO) is a high-value food due to its appreciated sensory attributes and health benefits. The shelf life (SL) of an OO is a key parameter, being influenced by the olive cultivar, agro-climatic, extraction and storage conditions. So, kinetic models were developed for 3 physicochemical quality parameters (peroxide value and the extinction coefficients at 232 and 268 nm), to estimate the SL, based on a Time to Reach the legal Upper Limit (TRUL) approach. For that, a ripe EVOO, stored in amber glass bottles, in the dark and during 5 weeks, at 22 and 50ºC, was used. Zero-, first-, and second-order kinetic models were evaluated, and the best correlations were achieved for the zero-order model. Based on this model, the SL of the stored EVOOs were predicted to be 47-210 days and 35-80 days at 22 and 50ºC, respectively. As expected, the SL decreased for the higher storage temperature, being the lowest values predicted for K232 and K268, data, for 22 and 50ºC, respectively.
Autores principais:Ferreiro, Nuno Manuel
Outros Autores:Pereira, José Alberto; Peres, António M.; Rodrigues, Nuno
Assunto:Extra virgin olive oil
Ano:2023
País:Portugal
Tipo de documento:documento de conferência
Tipo de acesso:acesso aberto
Instituição associada:Instituto Politécnico de Bragança
Idioma:inglês
Origem:Biblioteca Digital do IPB
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author Ferreiro, Nuno Manuel
author2 Pereira, José Alberto
Peres, António M.
Rodrigues, Nuno
author2_role author
author
author
author_facet Ferreiro, Nuno Manuel
Pereira, José Alberto
Peres, António M.
Rodrigues, Nuno
author_role author
contributor_name_str_mv Biblioteca Digital do IPB
country_str PT
creators_json_str [{\"Person.name\":\"Ferreiro, Nuno Manuel\"},{\"Person.name\":\"Pereira, José Alberto\",\"Person.identifier.orcid\":\"0000-0002-2260-0600\"},{\"Person.name\":\"Peres, António M.\",\"Person.identifier.orcid\":\"0000-0001-6595-9165\"},{\"Person.name\":\"Rodrigues, Nuno\",\"Person.identifier.orcid\":\"0000-0002-9305-0976\"}]
datacite.contributors.contributor.contributorName.fl_str_mv Biblioteca Digital do IPB
datacite.creators.creator.creatorName.fl_str_mv Ferreiro, Nuno Manuel
Pereira, José Alberto
Peres, António M.
Rodrigues, Nuno
datacite.date.Accepted.fl_str_mv 2023-01-01T00:00:00Z
datacite.date.available.fl_str_mv 2025-11-06T11:07:32Z
datacite.date.embargoed.fl_str_mv 2025-11-06T11:07:32Z
datacite.rights.fl_str_mv http://purl.org/coar/access_right/c_abf2
datacite.subjects.subject.fl_str_mv Extra virgin olive oil
datacite.titles.title.fl_str_mv Predicting the shelf-life of extra virgin olive oil during storage at 22 and 50ºC, using a kinetic modelling approach
dc.contributor.none.fl_str_mv Biblioteca Digital do IPB
dc.creator.none.fl_str_mv Ferreiro, Nuno Manuel
Pereira, José Alberto
Peres, António M.
Rodrigues, Nuno
dc.date.Accepted.fl_str_mv 2023-01-01T00:00:00Z
dc.date.available.fl_str_mv 2025-11-06T11:07:32Z
dc.date.embargoed.fl_str_mv 2025-11-06T11:07:32Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv http://hdl.handle.net/10198/34975
dc.language.none.fl_str_mv eng
dc.publisher.none.fl_str_mv Instituto Politécnico de Bragança
dc.rights.cclincense.fl_str_mv http://creativecommons.org/licenses/by/4.0/
dc.rights.none.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.subject.none.fl_str_mv Extra virgin olive oil
dc.title.fl_str_mv Predicting the shelf-life of extra virgin olive oil during storage at 22 and 50ºC, using a kinetic modelling approach
dc.type.none.fl_str_mv http://purl.org/coar/resource_type/c_c94f
description Olive oil (OO) is a high-value food due to its appreciated sensory attributes and health benefits. The shelf life (SL) of an OO is a key parameter, being influenced by the olive cultivar, agro-climatic, extraction and storage conditions. So, kinetic models were developed for 3 physicochemical quality parameters (peroxide value and the extinction coefficients at 232 and 268 nm), to estimate the SL, based on a Time to Reach the legal Upper Limit (TRUL) approach. For that, a ripe EVOO, stored in amber glass bottles, in the dark and during 5 weeks, at 22 and 50ºC, was used. Zero-, first-, and second-order kinetic models were evaluated, and the best correlations were achieved for the zero-order model. Based on this model, the SL of the stored EVOOs were predicted to be 47-210 days and 35-80 days at 22 and 50ºC, respectively. As expected, the SL decreased for the higher storage temperature, being the lowest values predicted for K232 and K268, data, for 22 and 50ºC, respectively.
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funding.funder.name_str_mv Fundação para a Ciência e a Tecnologia
Fundação para a Ciência e a Tecnologia
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6817 - DCRRNI ID
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oai_identifier_str oai:bibliotecadigital.ipb.pt:10198/34975
organization_str_mv urn:organizationAcronym:ipb
person_str_mv Ferreiro, Nuno Manuel
Pereira, José Alberto
Pereira, José Alberto
https://www.ciencia-id.pt/611F-80B2-A7C1
611F-80B2-A7C1
http://orcid.org/0000-0002-2260-0600
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Peres, António M.
Peres, António M.
https://www.ciencia-id.pt/CF16-5443-F420
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Rodrigues, Nuno
Rodrigues, Nuno
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publishDate 2023
publisher.none.fl_str_mv Instituto Politécnico de Bragança
reponame_str Biblioteca Digital do IPB
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spelling engInstituto Politécnico de BragançaengOlive oil (OO) is a high-value food due to its appreciated sensory attributes and health benefits. The shelf life (SL) of an OO is a key parameter, being influenced by the olive cultivar, agro-climatic, extraction and storage conditions. So, kinetic models were developed for 3 physicochemical quality parameters (peroxide value and the extinction coefficients at 232 and 268 nm), to estimate the SL, based on a Time to Reach the legal Upper Limit (TRUL) approach. For that, a ripe EVOO, stored in amber glass bottles, in the dark and during 5 weeks, at 22 and 50ºC, was used. Zero-, first-, and second-order kinetic models were evaluated, and the best correlations were achieved for the zero-order model. Based on this model, the SL of the stored EVOOs were predicted to be 47-210 days and 35-80 days at 22 and 50ºC, respectively. As expected, the SL decreased for the higher storage temperature, being the lowest values predicted for K232 and K268, data, for 22 and 50ºC, respectively.application/pdfengPredicting the shelf-life of extra virgin olive oil during storage at 22 and 50ºC, using a kinetic modelling approachFerreiro, Nuno ManuelPersonalPereira, José AlbertoDSpacehttp://dspace.org/items/7932162e-a2da-4913-b00d-17babbe51857DSpacehttp://dspace.org/items/7932162e-a2da-4913-b00d-17babbe51857PereiraJosé AlbertoCiência IDhttps://www.ciencia-id.pt611F-80B2-A7C1ORCIDhttp://orcid.org0000-0002-2260-0600Researcher IDhttps://www.researcherid.comL-6798-2014Scopus Author IDhttps://www.scopus.com57204366348PersonalPeres, António M.DSpacehttp://dspace.org/items/7d93be47-8dc4-4413-9304-5b978773d3bbDSpacehttp://dspace.org/items/7d93be47-8dc4-4413-9304-5b978773d3bbPeresAntónio M.Ciência IDhttps://www.ciencia-id.ptCF16-5443-F420ORCIDhttp://orcid.org0000-0001-6595-9165Researcher IDhttps://www.researcherid.comI-8470-2012Scopus Author IDhttps://www.scopus.com7102331969PersonalRodrigues, NunoDSpacehttp://dspace.org/items/00739d63-995d-4b1f-97d0-03d24c7cf0fdDSpacehttp://dspace.org/items/00739d63-995d-4b1f-97d0-03d24c7cf0fdRodriguesNunoCiência IDhttps://www.ciencia-id.ptF41D-B424-5F78ORCIDhttp://orcid.org0000-0002-9305-0976Scopus Author IDhttps://www.scopus.com55258560600HostingInstitutionOrganizationalBiblioteca Digital do IPBe-mailmailto:dspace@ipb.ptdspace@ipb.ptISBNIsPartOf978-972-745-327-62025-11-06T11:07:32Z20232023-01-01T00:00:00ZHandlehttp://hdl.handle.net/10198/34975http://purl.org/coar/access_right/c_abf2open accessExtra virgin olive oil3187862 bytesFundação para a Ciência e a TecnologiaMountain Research Center6817 - DCRRNI IDCrossref Funder IDhttp://doi.org/10.13039/501100001871Fundação para a Ciência e a TecnologiaMountain Research Center6817 - DCRRNI IDCrossref Funder IDhttp://doi.org/10.13039/501100001871other research producthttp://purl.org/coar/resource_type/c_c94fconference object2023http://creativecommons.org/licenses/by/4.0/http://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://bibliotecadigital.ipb.pt/bitstreams/c00aa716-66a3-4dc3-815f-25145d6a220e/download14th International Chemical and Biological Engineering Conference (CHEMPOR 2023): book of abstracts331332Bragança2023
spellingShingle Predicting the shelf-life of extra virgin olive oil during storage at 22 and 50ºC, using a kinetic modelling approach
Ferreiro, Nuno Manuel
Extra virgin olive oil
subject.fl_str_mv Extra virgin olive oil
title Predicting the shelf-life of extra virgin olive oil during storage at 22 and 50ºC, using a kinetic modelling approach
title_full Predicting the shelf-life of extra virgin olive oil during storage at 22 and 50ºC, using a kinetic modelling approach
title_fullStr Predicting the shelf-life of extra virgin olive oil during storage at 22 and 50ºC, using a kinetic modelling approach
title_full_unstemmed Predicting the shelf-life of extra virgin olive oil during storage at 22 and 50ºC, using a kinetic modelling approach
title_short Predicting the shelf-life of extra virgin olive oil during storage at 22 and 50ºC, using a kinetic modelling approach
title_sort Predicting the shelf-life of extra virgin olive oil during storage at 22 and 50ºC, using a kinetic modelling approach
topic Extra virgin olive oil
topic_facet Extra virgin olive oil
url http://hdl.handle.net/10198/34975
visible 1