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:
Villegas Quiceno, Adriana patricia
Tipo de recurso:
Article of journal
Fecha de publicación:
2023
Institución:
Universidad Cooperativa de Colombia
Repositorio:
Repositorio UCC
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OAI Identifier:
oai:repository.ucc.edu.co:20.500.12494/50060
Acceso en línea:
https://doi.org/10.1002/btpr.1753
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84881611828&doi=10.1002%2fbtpr.1753&partnerID=40&md5=ab2e130c83c53679261911f94e3133fb
https://hdl.handle.net/20.500.12494/50060
Palabra clave:
ALCOHOL
ALGORITHM
ALGORITHMS
ARTICLE
BIOETHANOL
BIO-ETHANOL
BIO-ETHANOLS
BIOLOGICAL MODEL
BIOTECHNOLOGY
ETHANOL
FERMENTATION
IDENTIFIABILITY ANALYSIS
ILL POSED PROBLEM
ILL-POSED PROBLEM
INVERSE PROBLEMS
ITERATIVE METHODS
METABOLISM
MODELS, BIOLOGICAL
NONLINEAR DYNAMICS
NON-LINEAR LEAST SQUARES
NONLINEAR LEAST SQUARES PARAMETER ESTIMATION
NONLINEAR SYSTEM
PARAMETER ESTIMATION
PARAMETER SUBSET SELECTION
PARAMETER SUBSETS
SSF PROCESS
SUGARCANE BAGASSE
SUGAR-CANE BAGASSE
Rights
openAccess
License
http://purl.org/coar/access_right/c_abf2
id COOPER2_c0b0a7464848e17f2a7a8d152911e489
oai_identifier_str oai:repository.ucc.edu.co:20.500.12494/50060
network_acronym_str COOPER2
network_name_str Repositorio UCC
repository_id_str
spelling Villegas Quiceno, Adriana patricia2023-05-24T16:25:48Z2023-05-24T16:25:48Z06/06/2013https://doi.org/10.1002/btpr.1753https://www.scopus.com/inward/record.uri?eid=2-s2.0-84881611828&doi=10.1002%2fbtpr.1753&partnerID=40&md5=ab2e130c83c53679261911f94e3133fb87567938https://hdl.handle.net/20.500.12494/50060,,,Villegas Quiceno Adriana patricia.Model-based identifiable parameter determination applied to a simultaneous saccharification and fermentation process model for bio-ethanol production.BIOTECHNOL PROGR. 2013. 29. (4):p. 1064-1082In 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.co1064-1082Wiley-BlackwellALCOHOLALGORITHMALGORITHMSARTICLEBIOETHANOLBIO-ETHANOLBIO-ETHANOLSBIOLOGICAL MODELBIOTECHNOLOGYETHANOLFERMENTATIONIDENTIFIABILITY ANALYSISILL POSED PROBLEMILL-POSED PROBLEMINVERSE PROBLEMSITERATIVE METHODSMETABOLISMMODELS, BIOLOGICALNONLINEAR DYNAMICSNON-LINEAR LEAST SQUARESNONLINEAR LEAST SQUARES PARAMETER ESTIMATIONNONLINEAR SYSTEMPARAMETER ESTIMATIONPARAMETER SUBSET SELECTIONPARAMETER SUBSETSSSF PROCESSSUGARCANE BAGASSESUGAR-CANE BAGASSEModel-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/openAccesshttp://purl.org/coar/access_right/c_abf2Publication20.500.12494/50060oai:repository.ucc.edu.co:20.500.12494/500602024-08-20 16:22:28.943metadata.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
ALCOHOL
ALGORITHM
ALGORITHMS
ARTICLE
BIOETHANOL
BIO-ETHANOL
BIO-ETHANOLS
BIOLOGICAL MODEL
BIOTECHNOLOGY
ETHANOL
FERMENTATION
IDENTIFIABILITY ANALYSIS
ILL POSED PROBLEM
ILL-POSED PROBLEM
INVERSE PROBLEMS
ITERATIVE METHODS
METABOLISM
MODELS, BIOLOGICAL
NONLINEAR DYNAMICS
NON-LINEAR LEAST SQUARES
NONLINEAR LEAST SQUARES PARAMETER ESTIMATION
NONLINEAR SYSTEM
PARAMETER ESTIMATION
PARAMETER SUBSET SELECTION
PARAMETER SUBSETS
SSF PROCESS
SUGARCANE BAGASSE
SUGAR-CANE BAGASSE
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 Villegas Quiceno, Adriana patricia
dc.contributor.author.none.fl_str_mv Villegas Quiceno, Adriana patricia
dc.subject.spa.fl_str_mv ALCOHOL
ALGORITHM
ALGORITHMS
ARTICLE
BIOETHANOL
BIO-ETHANOL
BIO-ETHANOLS
BIOLOGICAL MODEL
BIOTECHNOLOGY
ETHANOL
FERMENTATION
IDENTIFIABILITY ANALYSIS
ILL POSED PROBLEM
ILL-POSED PROBLEM
INVERSE PROBLEMS
ITERATIVE METHODS
METABOLISM
MODELS, BIOLOGICAL
NONLINEAR DYNAMICS
NON-LINEAR LEAST SQUARES
NONLINEAR LEAST SQUARES PARAMETER ESTIMATION
NONLINEAR SYSTEM
PARAMETER ESTIMATION
PARAMETER SUBSET SELECTION
PARAMETER SUBSETS
SSF PROCESS
SUGARCANE BAGASSE
SUGAR-CANE BAGASSE
topic ALCOHOL
ALGORITHM
ALGORITHMS
ARTICLE
BIOETHANOL
BIO-ETHANOL
BIO-ETHANOLS
BIOLOGICAL MODEL
BIOTECHNOLOGY
ETHANOL
FERMENTATION
IDENTIFIABILITY ANALYSIS
ILL POSED PROBLEM
ILL-POSED PROBLEM
INVERSE PROBLEMS
ITERATIVE METHODS
METABOLISM
MODELS, BIOLOGICAL
NONLINEAR DYNAMICS
NON-LINEAR LEAST SQUARES
NONLINEAR LEAST SQUARES PARAMETER ESTIMATION
NONLINEAR SYSTEM
PARAMETER ESTIMATION
PARAMETER SUBSET SELECTION
PARAMETER SUBSETS
SSF PROCESS
SUGARCANE BAGASSE
SUGAR-CANE BAGASSE
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 2023
dc.date.issued.none.fl_str_mv 06/06/2013
dc.date.accessioned.none.fl_str_mv 2023-05-24T16:25:48Z
dc.date.available.none.fl_str_mv 2023-05-24T16:25:48Z
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
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84881611828&doi=10.1002%2fbtpr.1753&partnerID=40&md5=ab2e130c83c53679261911f94e3133fb
dc.identifier.issn.spa.fl_str_mv 87567938
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12494/50060
dc.identifier.bibliographicCitation.spa.fl_str_mv ,,,Villegas Quiceno Adriana patricia.Model-based identifiable parameter determination applied to a simultaneous saccharification and fermentation process model for bio-ethanol production.BIOTECHNOL PROGR. 2013. 29. (4):p. 1064-1082
url https://doi.org/10.1002/btpr.1753
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84881611828&doi=10.1002%2fbtpr.1753&partnerID=40&md5=ab2e130c83c53679261911f94e3133fb
https://hdl.handle.net/20.500.12494/50060
identifier_str_mv 87567938
,,,Villegas Quiceno Adriana patricia.Model-based identifiable parameter determination applied to a simultaneous saccharification and fermentation process model for bio-ethanol production.BIOTECHNOL PROGR. 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/openAccess
dc.rights.coar.none.fl_str_mv http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
rights_invalid_str_mv http://purl.org/coar/access_right/c_abf2
dc.format.extent.spa.fl_str_mv 1064-1082
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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