Modeling of the α-lactalbumin and β-lactoglobulin protein separation
Autor(a) principal: | |
---|---|
Data de Publicação: | 2011 |
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/1822/22332 |
Resumo: | This work used the General Rate Model (GRM) to evaluate the experimental data of α-lactalbumin (α-la) and β-lactoglobulin (β-lg) mass transfer using size exclusion chromatography (SEC). The chromatographic simulation has become necessary in large scale production processes. Mathematical models have been used for the optimization and control of different operating conditions of the process, as well as providing calculations for the process scale-up. For the SEC experiments, the aqueous biphasic system was composed of polyethylene glycol 1500 g/mol, potassium phosphate and whey protein isolate. The polymeric phase was enriched with α-la and the saline phase with β-lg. The experiments were conducted using a glass column packed with the Shepadex G-25® gel. Both proteins were quantified by reverse phase liquid chromatography. The experimental data were fitted by non-linear regression, using the successive quadratic programming algorithm. The mass transfer model utilized represented adequately the SEC experimental results. |
id |
RCAP_83af19197d3f2e3fd1a5e425f531fdd0 |
---|---|
oai_identifier_str |
oai:repositorium.sdum.uminho.pt:1822/22332 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
spelling |
Modeling of the α-lactalbumin and β-lactoglobulin protein separationBioseparationsModellingMass transferChromatographyAqueous two phaseSimulationScience & TechnologyThis work used the General Rate Model (GRM) to evaluate the experimental data of α-lactalbumin (α-la) and β-lactoglobulin (β-lg) mass transfer using size exclusion chromatography (SEC). The chromatographic simulation has become necessary in large scale production processes. Mathematical models have been used for the optimization and control of different operating conditions of the process, as well as providing calculations for the process scale-up. For the SEC experiments, the aqueous biphasic system was composed of polyethylene glycol 1500 g/mol, potassium phosphate and whey protein isolate. The polymeric phase was enriched with α-la and the saline phase with β-lg. The experiments were conducted using a glass column packed with the Shepadex G-25® gel. Both proteins were quantified by reverse phase liquid chromatography. The experimental data were fitted by non-linear regression, using the successive quadratic programming algorithm. The mass transfer model utilized represented adequately the SEC experimental results.The authors would like to thank FAPEMIG, FAPERJ and CNPq for the financial support of this work.Institution of Chemical Engineers (IChemE)Universidade do MinhoRojas, E. E. G.Coimbra, J.Saraiva, S. H.Vicente, A. A.20112011-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/22332eng0263-876210.1016/j.cherd.2010.06.002info: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:RCAAP2023-07-21T12:45:33Zoai:repositorium.sdum.uminho.pt:1822/22332Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:43:25.020431Repositório 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 |
Modeling of the α-lactalbumin and β-lactoglobulin protein separation |
title |
Modeling of the α-lactalbumin and β-lactoglobulin protein separation |
spellingShingle |
Modeling of the α-lactalbumin and β-lactoglobulin protein separation Rojas, E. E. G. Bioseparations Modelling Mass transfer Chromatography Aqueous two phase Simulation Science & Technology |
title_short |
Modeling of the α-lactalbumin and β-lactoglobulin protein separation |
title_full |
Modeling of the α-lactalbumin and β-lactoglobulin protein separation |
title_fullStr |
Modeling of the α-lactalbumin and β-lactoglobulin protein separation |
title_full_unstemmed |
Modeling of the α-lactalbumin and β-lactoglobulin protein separation |
title_sort |
Modeling of the α-lactalbumin and β-lactoglobulin protein separation |
author |
Rojas, E. E. G. |
author_facet |
Rojas, E. E. G. Coimbra, J. Saraiva, S. H. Vicente, A. A. |
author_role |
author |
author2 |
Coimbra, J. Saraiva, S. H. Vicente, A. A. |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade do Minho |
dc.contributor.author.fl_str_mv |
Rojas, E. E. G. Coimbra, J. Saraiva, S. H. Vicente, A. A. |
dc.subject.por.fl_str_mv |
Bioseparations Modelling Mass transfer Chromatography Aqueous two phase Simulation Science & Technology |
topic |
Bioseparations Modelling Mass transfer Chromatography Aqueous two phase Simulation Science & Technology |
description |
This work used the General Rate Model (GRM) to evaluate the experimental data of α-lactalbumin (α-la) and β-lactoglobulin (β-lg) mass transfer using size exclusion chromatography (SEC). The chromatographic simulation has become necessary in large scale production processes. Mathematical models have been used for the optimization and control of different operating conditions of the process, as well as providing calculations for the process scale-up. For the SEC experiments, the aqueous biphasic system was composed of polyethylene glycol 1500 g/mol, potassium phosphate and whey protein isolate. The polymeric phase was enriched with α-la and the saline phase with β-lg. The experiments were conducted using a glass column packed with the Shepadex G-25® gel. Both proteins were quantified by reverse phase liquid chromatography. The experimental data were fitted by non-linear regression, using the successive quadratic programming algorithm. The mass transfer model utilized represented adequately the SEC experimental results. |
publishDate |
2011 |
dc.date.none.fl_str_mv |
2011 2011-01-01T00:00:00Z |
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/1822/22332 |
url |
http://hdl.handle.net/1822/22332 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
0263-8762 10.1016/j.cherd.2010.06.002 |
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 |
Institution of Chemical Engineers (IChemE) |
publisher.none.fl_str_mv |
Institution of Chemical Engineers (IChemE) |
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_ |
1799132990883758080 |