Model-based identifiable parameter determination applied to a simultaneous saccharification and fermentation process model for bio-ethanol production

In this work, a methodology for the model-based identifiable parameter determination (MBIPD) is presented. This systematic approach is proposed to be used for structure and parameter identification of nonlinear models of biological reaction networks. Usually, this kind of problems are over-parameter...

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Autores:
Diana C. Lopez C
Tilman Barz
Mariana Peñuela
Villegas Quiceno, Adriana Patricia
Tipo de recurso:
Article of journal
Fecha de publicación:
2013
Institución:
Universidad Cooperativa de Colombia
Repositorio:
Repositorio UCC
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OAI Identifier:
oai:repository.ucc.edu.co:20.500.12494/41369
Acceso en línea:
https://doi.org/10.1002/btpr.1753
https://hdl.handle.net/20.500.12494/41369
Palabra clave:
Bio-ethanols
Identifiability analysis
Ill posed problem
Non-linear least squares
Parameter subsets
Sugar-cane bagasse
Algorithms
Bioethanol
Fermentation
Inverse problems
Parameter estimation
Iterative methods
alcohol
algorithm
article
bio-ethanol
biological model
biotechnology
fermentation
identifiability analysis
ill-posed problem
metabolism
nonlinear least squares parameter estimation
nonlinear system
parameter subset selection
SSF process
sugarcane bagasse
bio-ethanol
identifiability analysis
ill-posed problem
nonlinear least squares parameter estimation
parameter subset selection
SSF process
sugarcane bagasse
Algorithms
Biotechnology
Ethanol
Fermentation
Models
Biological
Nonlinear Dynamics
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closedAccess
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http://purl.org/coar/access_right/c_14cb
id COOPER2_ff6f3e41659b97fce1ea2035e26f3fc8
oai_identifier_str oai:repository.ucc.edu.co:20.500.12494/41369
network_acronym_str COOPER2
network_name_str Repositorio UCC
repository_id_str
spelling Diana C. Lopez CTilman BarzMariana PeñuelaVillegas Quiceno, Adriana Patricia2021-12-16T22:15:28Z2021-12-16T22:15:28Z2013https://doi.org/10.1002/btpr.175387567938https://hdl.handle.net/20.500.12494/41369DC.LC,TB,MP,VILLEGAS AP. Model-based identifiable parameter determination applied to a simultaneous saccharification and fermentation process model for bio-ethanol production. Biotechnol Prog. 2013. 29. (4):p. 1064-1082. .In this work, a methodology for the model-based identifiable parameter determination (MBIPD) is presented. This systematic approach is proposed to be used for structure and parameter identification of nonlinear models of biological reaction networks. Usually, this kind of problems are over-parameterized with large correlations between parameters. Hence, the related inverse problems for parameter determination and analysis are mathematically ill-posed and numerically difficult to solve. The proposed MBIPD methodology comprises several tasks: (i) model selection, (ii) tracking of an adequate initial guess, and (iii) an iterative parameter estimation step which includes an identifiable parameter subset selection (SsS) algorithm and accuracy analysis of the estimated parameters. The SsS algorithm is based on the analysis of the sensitivity matrix by rank revealing factorization methods. Using this, a reduction of the parameter search space to a reasonable subset, which can be reliably and efficiently estimated from available measurements, is achieved. The simultaneous saccharification and fermentation (SSF) process for bio-ethanol production from cellulosic material is used as case study for testing the methodology. The successful application of MBIPD to the SSF process demonstrates a relatively large reduction in the identified parameter space. It is shown by a cross-validation that using the identified parameters (even though the reduction of the search space), the model is still able to predict the experimental data properly. Moreover, it is shown that the model is easily and efficiently adapted to new process conditions by solving reduced and well conditioned problems. © 2013 American Institute of Chemical Engineers.adriana.villegas@ucc.edu.co1082-1064Wiley-BlackwellBio-ethanolsIdentifiability analysisIll posed problemNon-linear least squaresParameter subsetsSugar-cane bagasseAlgorithmsBioethanolFermentationInverse problemsParameter estimationIterative methodsalcoholalgorithmarticlebio-ethanolbiological modelbiotechnologyfermentationidentifiability analysisill-posed problemmetabolismnonlinear least squares parameter estimationnonlinear systemparameter subset selectionSSF processsugarcane bagassebio-ethanolidentifiability analysisill-posed problemnonlinear least squares parameter estimationparameter subset selectionSSF processsugarcane bagasseAlgorithmsBiotechnologyEthanolFermentationModelsBiologicalNonlinear DynamicsModel-based identifiable parameter determination applied to a simultaneous saccharification and fermentation process model for bio-ethanol productionArtículohttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/publishedVersionBIOTECHNOL PROGRinfo:eu-repo/semantics/closedAccesshttp://purl.org/coar/access_right/c_14cbPublication20.500.12494/41369oai:repository.ucc.edu.co:20.500.12494/413692024-08-20 16:18:50.62metadata.onlyhttps://repository.ucc.edu.coRepositorio Institucional Universidad Cooperativa de Colombiabdigital@metabiblioteca.com
dc.title.spa.fl_str_mv Model-based identifiable parameter determination applied to a simultaneous saccharification and fermentation process model for bio-ethanol production
title Model-based identifiable parameter determination applied to a simultaneous saccharification and fermentation process model for bio-ethanol production
spellingShingle Model-based identifiable parameter determination applied to a simultaneous saccharification and fermentation process model for bio-ethanol production
Bio-ethanols
Identifiability analysis
Ill posed problem
Non-linear least squares
Parameter subsets
Sugar-cane bagasse
Algorithms
Bioethanol
Fermentation
Inverse problems
Parameter estimation
Iterative methods
alcohol
algorithm
article
bio-ethanol
biological model
biotechnology
fermentation
identifiability analysis
ill-posed problem
metabolism
nonlinear least squares parameter estimation
nonlinear system
parameter subset selection
SSF process
sugarcane bagasse
bio-ethanol
identifiability analysis
ill-posed problem
nonlinear least squares parameter estimation
parameter subset selection
SSF process
sugarcane bagasse
Algorithms
Biotechnology
Ethanol
Fermentation
Models
Biological
Nonlinear Dynamics
title_short Model-based identifiable parameter determination applied to a simultaneous saccharification and fermentation process model for bio-ethanol production
title_full Model-based identifiable parameter determination applied to a simultaneous saccharification and fermentation process model for bio-ethanol production
title_fullStr Model-based identifiable parameter determination applied to a simultaneous saccharification and fermentation process model for bio-ethanol production
title_full_unstemmed Model-based identifiable parameter determination applied to a simultaneous saccharification and fermentation process model for bio-ethanol production
title_sort Model-based identifiable parameter determination applied to a simultaneous saccharification and fermentation process model for bio-ethanol production
dc.creator.fl_str_mv Diana C. Lopez C
Tilman Barz
Mariana Peñuela
Villegas Quiceno, Adriana Patricia
dc.contributor.author.none.fl_str_mv Diana C. Lopez C
Tilman Barz
Mariana Peñuela
Villegas Quiceno, Adriana Patricia
dc.subject.spa.fl_str_mv Bio-ethanols
Identifiability analysis
Ill posed problem
Non-linear least squares
Parameter subsets
Sugar-cane bagasse
Algorithms
Bioethanol
Fermentation
Inverse problems
Parameter estimation
Iterative methods
alcohol
algorithm
article
bio-ethanol
biological model
biotechnology
fermentation
identifiability analysis
ill-posed problem
metabolism
nonlinear least squares parameter estimation
nonlinear system
parameter subset selection
SSF process
sugarcane bagasse
bio-ethanol
identifiability analysis
ill-posed problem
nonlinear least squares parameter estimation
parameter subset selection
SSF process
sugarcane bagasse
Algorithms
Biotechnology
Ethanol
Fermentation
Models
Biological
Nonlinear Dynamics
topic Bio-ethanols
Identifiability analysis
Ill posed problem
Non-linear least squares
Parameter subsets
Sugar-cane bagasse
Algorithms
Bioethanol
Fermentation
Inverse problems
Parameter estimation
Iterative methods
alcohol
algorithm
article
bio-ethanol
biological model
biotechnology
fermentation
identifiability analysis
ill-posed problem
metabolism
nonlinear least squares parameter estimation
nonlinear system
parameter subset selection
SSF process
sugarcane bagasse
bio-ethanol
identifiability analysis
ill-posed problem
nonlinear least squares parameter estimation
parameter subset selection
SSF process
sugarcane bagasse
Algorithms
Biotechnology
Ethanol
Fermentation
Models
Biological
Nonlinear Dynamics
description In this work, a methodology for the model-based identifiable parameter determination (MBIPD) is presented. This systematic approach is proposed to be used for structure and parameter identification of nonlinear models of biological reaction networks. Usually, this kind of problems are over-parameterized with large correlations between parameters. Hence, the related inverse problems for parameter determination and analysis are mathematically ill-posed and numerically difficult to solve. The proposed MBIPD methodology comprises several tasks: (i) model selection, (ii) tracking of an adequate initial guess, and (iii) an iterative parameter estimation step which includes an identifiable parameter subset selection (SsS) algorithm and accuracy analysis of the estimated parameters. The SsS algorithm is based on the analysis of the sensitivity matrix by rank revealing factorization methods. Using this, a reduction of the parameter search space to a reasonable subset, which can be reliably and efficiently estimated from available measurements, is achieved. The simultaneous saccharification and fermentation (SSF) process for bio-ethanol production from cellulosic material is used as case study for testing the methodology. The successful application of MBIPD to the SSF process demonstrates a relatively large reduction in the identified parameter space. It is shown by a cross-validation that using the identified parameters (even though the reduction of the search space), the model is still able to predict the experimental data properly. Moreover, it is shown that the model is easily and efficiently adapted to new process conditions by solving reduced and well conditioned problems. © 2013 American Institute of Chemical Engineers.
publishDate 2013
dc.date.issued.none.fl_str_mv 2013
dc.date.accessioned.none.fl_str_mv 2021-12-16T22:15:28Z
dc.date.available.none.fl_str_mv 2021-12-16T22:15:28Z
dc.type.none.fl_str_mv Artículo
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.coar.none.fl_str_mv http://purl.org/coar/resource_type/c_6501
dc.type.coarversion.none.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.driver.none.fl_str_mv info:eu-repo/semantics/article
dc.type.redcol.none.fl_str_mv http://purl.org/redcol/resource_type/ART
dc.type.version.none.fl_str_mv info:eu-repo/semantics/publishedVersion
format http://purl.org/coar/resource_type/c_6501
status_str publishedVersion
dc.identifier.none.fl_str_mv https://doi.org/10.1002/btpr.1753
dc.identifier.issn.spa.fl_str_mv 87567938
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12494/41369
dc.identifier.bibliographicCitation.spa.fl_str_mv DC.LC,TB,MP,VILLEGAS AP. Model-based identifiable parameter determination applied to a simultaneous saccharification and fermentation process model for bio-ethanol production. Biotechnol Prog. 2013. 29. (4):p. 1064-1082. .
url https://doi.org/10.1002/btpr.1753
https://hdl.handle.net/20.500.12494/41369
identifier_str_mv 87567938
DC.LC,TB,MP,VILLEGAS AP. Model-based identifiable parameter determination applied to a simultaneous saccharification and fermentation process model for bio-ethanol production. Biotechnol Prog. 2013. 29. (4):p. 1064-1082. .
dc.relation.ispartofjournal.spa.fl_str_mv BIOTECHNOL PROGR
dc.rights.accessrights.none.fl_str_mv info:eu-repo/semantics/closedAccess
dc.rights.coar.none.fl_str_mv http://purl.org/coar/access_right/c_14cb
eu_rights_str_mv closedAccess
rights_invalid_str_mv http://purl.org/coar/access_right/c_14cb
dc.format.extent.spa.fl_str_mv 1082-1064
dc.publisher.spa.fl_str_mv Wiley-Blackwell
institution Universidad Cooperativa de Colombia
repository.name.fl_str_mv Repositorio Institucional Universidad Cooperativa de Colombia
repository.mail.fl_str_mv bdigital@metabiblioteca.com
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