Sensitivity analysis and reduction of a dynamic model of a bioproduction of fructo-oligosaccharides

Detalhes bibliográficos
Autor(a) principal: Fekih-Salem, R.
Data de Publicação: 2019
Outros Autores: Dewasme, L., Castro, Cristiana Cordeiro, Gonçalves, Clarisse Salomé Nobre, Hantson, A. -L., Wouwer, A. Vande
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/1822/61811
Resumo: Starting from a relatively detailed model of a bioprocess producing fructo-oligosaccharides, a set of experimental data collected in batch and fed-batch experiments is exploited to estimate the unknown model parameters. The original model includes the growth of the fungus Aureobasidium pullulans which produces the enzymes responsible for the hydrolysis and transfructosylation reactions, and as such contains 25 kinetic parameters and 16 pseudo-stoichiometric coefficients, which are not uniquely identifiable with the data at hand. The aim of this study is, therefore, to show how sensitivity analysis and quantitative indicators based on the Fisher information matrix can be used to reduce the detailed model to a practically identifiable model. Parametric sensitivity analysis can indeed be used to progressively simplify the model to a representation involving 15 kinetic parameters and 8 pseudo-stoichiometric coefficients. The reduced model provides satisfactory prediction and can be convincingly cross validated.
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spelling Sensitivity analysis and reduction of a dynamic model of a bioproduction of fructo-oligosaccharidesMathematical modelingFisher information matrixParameter identificationBiotechnologyScience & TechnologyStarting from a relatively detailed model of a bioprocess producing fructo-oligosaccharides, a set of experimental data collected in batch and fed-batch experiments is exploited to estimate the unknown model parameters. The original model includes the growth of the fungus Aureobasidium pullulans which produces the enzymes responsible for the hydrolysis and transfructosylation reactions, and as such contains 25 kinetic parameters and 16 pseudo-stoichiometric coefficients, which are not uniquely identifiable with the data at hand. The aim of this study is, therefore, to show how sensitivity analysis and quantitative indicators based on the Fisher information matrix can be used to reduce the detailed model to a practically identifiable model. Parametric sensitivity analysis can indeed be used to progressively simplify the model to a representation involving 15 kinetic parameters and 8 pseudo-stoichiometric coefficients. The reduced model provides satisfactory prediction and can be convincingly cross validated.The authors thank the financial support from the F.R.S.-FNRS, the Belgium National Fund for the Scientific Research (Research Project 24643.08). C. Nobre thanks the Fundação para a Ciência e Tecnologia for the strategic funding of UID/BIO/04469 /2013 unit.info:eu-repo/semantics/publishedVersionSpringer NatureUniversidade do MinhoFekih-Salem, R.Dewasme, L.Castro, Cristiana CordeiroGonçalves, Clarisse Salomé NobreHantson, A. -L.Wouwer, A. Vande2019-112019-11-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/61811engFekih-Salem, R.; Dewasme, L.; Castro, Cristiana Cordeiro; Nobre, Clarisse; Hantson, A. -L.; Wouwer, A. Vande, Sensitivity analysis and reduction of a dynamic model of a bioproduction of fructo-oligosaccharides. Bioprocess and Biosystems Engineering, 42(11), 1793-1808, 20191615-75911615-760510.1007/s00449-019-02176-931375963http://www.springer.com/chemistry/biotechnology/journal/449info: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:RCAAP2023-07-21T12:09:15Zoai:repositorium.sdum.uminho.pt:1822/61811Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:00:37.151500Repositório 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 Sensitivity analysis and reduction of a dynamic model of a bioproduction of fructo-oligosaccharides
title Sensitivity analysis and reduction of a dynamic model of a bioproduction of fructo-oligosaccharides
spellingShingle Sensitivity analysis and reduction of a dynamic model of a bioproduction of fructo-oligosaccharides
Fekih-Salem, R.
Mathematical modeling
Fisher information matrix
Parameter identification
Biotechnology
Science & Technology
title_short Sensitivity analysis and reduction of a dynamic model of a bioproduction of fructo-oligosaccharides
title_full Sensitivity analysis and reduction of a dynamic model of a bioproduction of fructo-oligosaccharides
title_fullStr Sensitivity analysis and reduction of a dynamic model of a bioproduction of fructo-oligosaccharides
title_full_unstemmed Sensitivity analysis and reduction of a dynamic model of a bioproduction of fructo-oligosaccharides
title_sort Sensitivity analysis and reduction of a dynamic model of a bioproduction of fructo-oligosaccharides
author Fekih-Salem, R.
author_facet Fekih-Salem, R.
Dewasme, L.
Castro, Cristiana Cordeiro
Gonçalves, Clarisse Salomé Nobre
Hantson, A. -L.
Wouwer, A. Vande
author_role author
author2 Dewasme, L.
Castro, Cristiana Cordeiro
Gonçalves, Clarisse Salomé Nobre
Hantson, A. -L.
Wouwer, A. Vande
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Fekih-Salem, R.
Dewasme, L.
Castro, Cristiana Cordeiro
Gonçalves, Clarisse Salomé Nobre
Hantson, A. -L.
Wouwer, A. Vande
dc.subject.por.fl_str_mv Mathematical modeling
Fisher information matrix
Parameter identification
Biotechnology
Science & Technology
topic Mathematical modeling
Fisher information matrix
Parameter identification
Biotechnology
Science & Technology
description Starting from a relatively detailed model of a bioprocess producing fructo-oligosaccharides, a set of experimental data collected in batch and fed-batch experiments is exploited to estimate the unknown model parameters. The original model includes the growth of the fungus Aureobasidium pullulans which produces the enzymes responsible for the hydrolysis and transfructosylation reactions, and as such contains 25 kinetic parameters and 16 pseudo-stoichiometric coefficients, which are not uniquely identifiable with the data at hand. The aim of this study is, therefore, to show how sensitivity analysis and quantitative indicators based on the Fisher information matrix can be used to reduce the detailed model to a practically identifiable model. Parametric sensitivity analysis can indeed be used to progressively simplify the model to a representation involving 15 kinetic parameters and 8 pseudo-stoichiometric coefficients. The reduced model provides satisfactory prediction and can be convincingly cross validated.
publishDate 2019
dc.date.none.fl_str_mv 2019-11
2019-11-01T00:00:00Z
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/1822/61811
url http://hdl.handle.net/1822/61811
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Fekih-Salem, R.; Dewasme, L.; Castro, Cristiana Cordeiro; Nobre, Clarisse; Hantson, A. -L.; Wouwer, A. Vande, Sensitivity analysis and reduction of a dynamic model of a bioproduction of fructo-oligosaccharides. Bioprocess and Biosystems Engineering, 42(11), 1793-1808, 2019
1615-7591
1615-7605
10.1007/s00449-019-02176-9
31375963
http://www.springer.com/chemistry/biotechnology/journal/449
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 Springer Nature
publisher.none.fl_str_mv Springer Nature
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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instacron:RCAAP
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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)
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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