Optimization of oil recovery from Japonica luna rice bran by supercritical carbon dioxide applying design of experiments: characterization of the oil and mass transfer modeling

Detalhes bibliográficos
Autor(a) principal: Coelho, Jose
Data de Publicação: 2022
Outros Autores: Robalo, Maria Paula, Fernandes, Inês S., Stateva, Roumiana
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.21/15468
Resumo: This study presents an optimization strategy for recovery of oil from Japonica Luna rice bran using supercritical carbon dioxide (scCO2), based on design of experiments (DoE). Initially, a 24−1 two level fractional factorial design (FFD) was used, and pressure, temperature, and scCO2 flow rate were determined as the significant variables; while the yield, total flavonoids content (TFC), and total polyphenols content (TPC) were the response functions used to analyze the quality of the extracts recovered. Subsequently, central composite design (CCD) was applied to examine the effects of the significant variables on the responses and create quadratic surfaces that optimize the latter. The following values of pressure = 34.35 MPa, temperature = 339.5 K, and scCO2 flow rate = 1.8 × 10−3 kg/min were found to simultaneously optimize the yield (6.83%), TPC (61.28 μmol GAE/g ext), and TFC (1696.8 μmol EC/g ext). The fatty acid profile of the oils was characterized by GC-FID. It was demonstrated that the acids in largest quantities are C16:0 (15–16%), C18:1 (41%), and C18:2 (38–39%). Finally, three mass transfer models were applied to determine the mass transfer coefficients and assess the cumulative extraction curves, with an AAD% of 4.16, for the best model.
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spelling Optimization of oil recovery from Japonica luna rice bran by supercritical carbon dioxide applying design of experiments: characterization of the oil and mass transfer modelingRice bran oilDesign of experiments (DoE)Flavonoid contentPolyphenol contentFatty acidsMass transfer modelingThis study presents an optimization strategy for recovery of oil from Japonica Luna rice bran using supercritical carbon dioxide (scCO2), based on design of experiments (DoE). Initially, a 24−1 two level fractional factorial design (FFD) was used, and pressure, temperature, and scCO2 flow rate were determined as the significant variables; while the yield, total flavonoids content (TFC), and total polyphenols content (TPC) were the response functions used to analyze the quality of the extracts recovered. Subsequently, central composite design (CCD) was applied to examine the effects of the significant variables on the responses and create quadratic surfaces that optimize the latter. The following values of pressure = 34.35 MPa, temperature = 339.5 K, and scCO2 flow rate = 1.8 × 10−3 kg/min were found to simultaneously optimize the yield (6.83%), TPC (61.28 μmol GAE/g ext), and TFC (1696.8 μmol EC/g ext). The fatty acid profile of the oils was characterized by GC-FID. It was demonstrated that the acids in largest quantities are C16:0 (15–16%), C18:1 (41%), and C18:2 (38–39%). Finally, three mass transfer models were applied to determine the mass transfer coefficients and assess the cumulative extraction curves, with an AAD% of 4.16, for the best model.MDPIRCIPLCoelho, JoseRobalo, Maria PaulaFernandes, Inês S.Stateva, Roumiana2023-02-02T15:24:34Z2022-082022-08-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.21/15468engCOELHO, J. P.; FERNANDES, I. S.; ROBALO, M. Paula; STATEVA, R. P. – Optimization of oil recovery from Japonica Luna rice bran by supercritical carbon dioxide applying design of experiments: characterization of the oil and mass transfer modeling. Chemengineering. ISSN 2305-7084. Vol.6, N.º 4 (2022) p. 1-16.2305-708410.3390/chemengineering6040063info: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:RCAAP2023-08-03T10:13:02Zoai:repositorio.ipl.pt:10400.21/15468Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:23:08.060017Repositório 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 Optimization of oil recovery from Japonica luna rice bran by supercritical carbon dioxide applying design of experiments: characterization of the oil and mass transfer modeling
title Optimization of oil recovery from Japonica luna rice bran by supercritical carbon dioxide applying design of experiments: characterization of the oil and mass transfer modeling
spellingShingle Optimization of oil recovery from Japonica luna rice bran by supercritical carbon dioxide applying design of experiments: characterization of the oil and mass transfer modeling
Coelho, Jose
Rice bran oil
Design of experiments (DoE)
Flavonoid content
Polyphenol content
Fatty acids
Mass transfer modeling
title_short Optimization of oil recovery from Japonica luna rice bran by supercritical carbon dioxide applying design of experiments: characterization of the oil and mass transfer modeling
title_full Optimization of oil recovery from Japonica luna rice bran by supercritical carbon dioxide applying design of experiments: characterization of the oil and mass transfer modeling
title_fullStr Optimization of oil recovery from Japonica luna rice bran by supercritical carbon dioxide applying design of experiments: characterization of the oil and mass transfer modeling
title_full_unstemmed Optimization of oil recovery from Japonica luna rice bran by supercritical carbon dioxide applying design of experiments: characterization of the oil and mass transfer modeling
title_sort Optimization of oil recovery from Japonica luna rice bran by supercritical carbon dioxide applying design of experiments: characterization of the oil and mass transfer modeling
author Coelho, Jose
author_facet Coelho, Jose
Robalo, Maria Paula
Fernandes, Inês S.
Stateva, Roumiana
author_role author
author2 Robalo, Maria Paula
Fernandes, Inês S.
Stateva, Roumiana
author2_role author
author
author
dc.contributor.none.fl_str_mv RCIPL
dc.contributor.author.fl_str_mv Coelho, Jose
Robalo, Maria Paula
Fernandes, Inês S.
Stateva, Roumiana
dc.subject.por.fl_str_mv Rice bran oil
Design of experiments (DoE)
Flavonoid content
Polyphenol content
Fatty acids
Mass transfer modeling
topic Rice bran oil
Design of experiments (DoE)
Flavonoid content
Polyphenol content
Fatty acids
Mass transfer modeling
description This study presents an optimization strategy for recovery of oil from Japonica Luna rice bran using supercritical carbon dioxide (scCO2), based on design of experiments (DoE). Initially, a 24−1 two level fractional factorial design (FFD) was used, and pressure, temperature, and scCO2 flow rate were determined as the significant variables; while the yield, total flavonoids content (TFC), and total polyphenols content (TPC) were the response functions used to analyze the quality of the extracts recovered. Subsequently, central composite design (CCD) was applied to examine the effects of the significant variables on the responses and create quadratic surfaces that optimize the latter. The following values of pressure = 34.35 MPa, temperature = 339.5 K, and scCO2 flow rate = 1.8 × 10−3 kg/min were found to simultaneously optimize the yield (6.83%), TPC (61.28 μmol GAE/g ext), and TFC (1696.8 μmol EC/g ext). The fatty acid profile of the oils was characterized by GC-FID. It was demonstrated that the acids in largest quantities are C16:0 (15–16%), C18:1 (41%), and C18:2 (38–39%). Finally, three mass transfer models were applied to determine the mass transfer coefficients and assess the cumulative extraction curves, with an AAD% of 4.16, for the best model.
publishDate 2022
dc.date.none.fl_str_mv 2022-08
2022-08-01T00:00:00Z
2023-02-02T15:24:34Z
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/10400.21/15468
url http://hdl.handle.net/10400.21/15468
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv COELHO, J. P.; FERNANDES, I. S.; ROBALO, M. Paula; STATEVA, R. P. – Optimization of oil recovery from Japonica Luna rice bran by supercritical carbon dioxide applying design of experiments: characterization of the oil and mass transfer modeling. Chemengineering. ISSN 2305-7084. Vol.6, N.º 4 (2022) p. 1-16.
2305-7084
10.3390/chemengineering6040063
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 MDPI
publisher.none.fl_str_mv MDPI
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
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