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
Autor(a) principal: | |
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Data de Publicação: | 2022 |
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/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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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 |
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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) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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