Modeling oil extraction from green and roasted coffee by means of supercritical CO2

Detalhes bibliográficos
Autor(a) principal: Sandi, Délcio
Data de Publicação: 2012
Outros Autores: Araújo, Júlio M. A., Montes- Montes, Everaldo J., Coimbra, Jane S. R., Ferreira, Sandra R. S.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: LOCUS Repositório Institucional da UFV
Texto Completo: http://dx.doi.org/10.1515/1556-3758.2058
http://www.locus.ufv.br/handle/123456789/23154
Resumo: Green and roasted coffee oil was extracted using supercritical CO2 at temperatures of (333, 343, 353 and 363) K and pressures from (235 to 380) bar, providing a CO2 densities range from (680 to 880) kg.m-3. The mathematical models of Del Valle-Aguilera and Chrastil were applied to predict the oil solubility. The Del Valle-Aguilera led to elevated deviations between the predict solubility values and those observed experimentally. The Chrastil model provided better results, with better fitting being observed. With this procedure, the mean percentage deviation was 0.16 and 0.19, respectively, for green and roasted coffee oil, showing a good correlation between the observed and predicted values.
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spelling Modeling oil extraction from green and roasted coffee by means of supercritical CO2Supercritical fluid extractionCoffee oilSolubility modelingCafestolKahweolGreen and roasted coffee oil was extracted using supercritical CO2 at temperatures of (333, 343, 353 and 363) K and pressures from (235 to 380) bar, providing a CO2 densities range from (680 to 880) kg.m-3. The mathematical models of Del Valle-Aguilera and Chrastil were applied to predict the oil solubility. The Del Valle-Aguilera led to elevated deviations between the predict solubility values and those observed experimentally. The Chrastil model provided better results, with better fitting being observed. With this procedure, the mean percentage deviation was 0.16 and 0.19, respectively, for green and roasted coffee oil, showing a good correlation between the observed and predicted values.International Journal of Food Engineering2019-01-23T13:11:41Z2019-01-23T13:11:41Z2012info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlepdfapplication/pdf1556-3758http://dx.doi.org/10.1515/1556-3758.2058http://www.locus.ufv.br/handle/123456789/23154engVolume 8, Issue 1, Pages 1- 10, 2012Sandi, DélcioAraújo, Júlio M. A.Montes- Montes, Everaldo J.Coimbra, Jane S. R.Ferreira, Sandra R. S.info:eu-repo/semantics/openAccessreponame:LOCUS Repositório Institucional da UFVinstname:Universidade Federal de Viçosa (UFV)instacron:UFV2024-07-12T08:47:44Zoai:locus.ufv.br:123456789/23154Repositório InstitucionalPUBhttps://www.locus.ufv.br/oai/requestfabiojreis@ufv.bropendoar:21452024-07-12T08:47:44LOCUS Repositório Institucional da UFV - Universidade Federal de Viçosa (UFV)false
dc.title.none.fl_str_mv Modeling oil extraction from green and roasted coffee by means of supercritical CO2
title Modeling oil extraction from green and roasted coffee by means of supercritical CO2
spellingShingle Modeling oil extraction from green and roasted coffee by means of supercritical CO2
Sandi, Délcio
Supercritical fluid extraction
Coffee oil
Solubility modeling
Cafestol
Kahweol
title_short Modeling oil extraction from green and roasted coffee by means of supercritical CO2
title_full Modeling oil extraction from green and roasted coffee by means of supercritical CO2
title_fullStr Modeling oil extraction from green and roasted coffee by means of supercritical CO2
title_full_unstemmed Modeling oil extraction from green and roasted coffee by means of supercritical CO2
title_sort Modeling oil extraction from green and roasted coffee by means of supercritical CO2
author Sandi, Délcio
author_facet Sandi, Délcio
Araújo, Júlio M. A.
Montes- Montes, Everaldo J.
Coimbra, Jane S. R.
Ferreira, Sandra R. S.
author_role author
author2 Araújo, Júlio M. A.
Montes- Montes, Everaldo J.
Coimbra, Jane S. R.
Ferreira, Sandra R. S.
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Sandi, Délcio
Araújo, Júlio M. A.
Montes- Montes, Everaldo J.
Coimbra, Jane S. R.
Ferreira, Sandra R. S.
dc.subject.por.fl_str_mv Supercritical fluid extraction
Coffee oil
Solubility modeling
Cafestol
Kahweol
topic Supercritical fluid extraction
Coffee oil
Solubility modeling
Cafestol
Kahweol
description Green and roasted coffee oil was extracted using supercritical CO2 at temperatures of (333, 343, 353 and 363) K and pressures from (235 to 380) bar, providing a CO2 densities range from (680 to 880) kg.m-3. The mathematical models of Del Valle-Aguilera and Chrastil were applied to predict the oil solubility. The Del Valle-Aguilera led to elevated deviations between the predict solubility values and those observed experimentally. The Chrastil model provided better results, with better fitting being observed. With this procedure, the mean percentage deviation was 0.16 and 0.19, respectively, for green and roasted coffee oil, showing a good correlation between the observed and predicted values.
publishDate 2012
dc.date.none.fl_str_mv 2012
2019-01-23T13:11:41Z
2019-01-23T13:11:41Z
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 1556-3758
http://dx.doi.org/10.1515/1556-3758.2058
http://www.locus.ufv.br/handle/123456789/23154
identifier_str_mv 1556-3758
url http://dx.doi.org/10.1515/1556-3758.2058
http://www.locus.ufv.br/handle/123456789/23154
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Volume 8, Issue 1, Pages 1- 10, 2012
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv pdf
application/pdf
dc.publisher.none.fl_str_mv International Journal of Food Engineering
publisher.none.fl_str_mv International Journal of Food Engineering
dc.source.none.fl_str_mv reponame:LOCUS Repositório Institucional da UFV
instname:Universidade Federal de Viçosa (UFV)
instacron:UFV
instname_str Universidade Federal de Viçosa (UFV)
instacron_str UFV
institution UFV
reponame_str LOCUS Repositório Institucional da UFV
collection LOCUS Repositório Institucional da UFV
repository.name.fl_str_mv LOCUS Repositório Institucional da UFV - Universidade Federal de Viçosa (UFV)
repository.mail.fl_str_mv fabiojreis@ufv.br
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