Modeling of the α-lactalbumin and β-lactoglobulin protein separation

Detalhes bibliográficos
Autor(a) principal: Rojas, E. E. G.
Data de Publicação: 2011
Outros Autores: Coimbra, J., Saraiva, S. H., Vicente, A. A.
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.
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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
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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)
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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