Multi-objective optimization in biotechnological processes: Application to plant cell suspension cultures of Thevetia peruviana

Bioprocesses productivity is a compromise between two conflicting objectives, maximization of biomass growth rate and minimization of substrate consumption. In this work, a model based multi-objective optimization problem is solved for improving the process productivity in plant cell suspension cult...

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Autores:
Villegas Quiceno, Adriana Patricia
Arias-Echeverri J.P.
Aragón-Mena D.
Ochoa-Cáceres S.
Arias-Zabala M.E.
Tipo de recurso:
Article of journal
Fecha de publicación:
2018
Institución:
Universidad Cooperativa de Colombia
Repositorio:
Repositorio UCC
Idioma:
OAI Identifier:
oai:repository.ucc.edu.co:20.500.12494/41960
Acceso en línea:
https://doi.org/10.18359/prole.1967
https://hdl.handle.net/20.500.12494/41960
Palabra clave:
Biotechnological processes
Mechanistic models
Model-based optimization
Modelling and optimization
Multi-objective problem
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closedAccess
License
http://purl.org/coar/access_right/c_14cb
id COOPER2_4ab91e82d3e2680b22cee7a9952e0003
oai_identifier_str oai:repository.ucc.edu.co:20.500.12494/41960
network_acronym_str COOPER2
network_name_str Repositorio UCC
repository_id_str
spelling Villegas Quiceno, Adriana PatriciaArias-Echeverri J.P.Aragón-Mena D.Ochoa-Cáceres S.Arias-Zabala M.E.2021-12-16T22:15:55Z2021-12-16T22:15:55Z2018https://doi.org/10.18359/prole.196701206230https://hdl.handle.net/20.500.12494/41960Villegas AP,Arias JP,Aragón D,Ochoa S,Arias ME. Multi-objective optimization in biotechnological processes: Application to plant cell suspension cultures of Thevetia peruviana. Rev. Fac. Ing. 2018. (87):p. 35-40. .Bioprocesses productivity is a compromise between two conflicting objectives, maximization of biomass growth rate and minimization of substrate consumption. In this work, a model based multi-objective optimization problem is solved for improving the process productivity in plant cell suspension cultures of Thevetia peruviana. A solution of the multi-objective problem allowed determining the optimal initial concentrations of substrate and biomass for assuring maximal productivity. Model-based optimization is carried out using a mechanistic model, which includes a representation of the intracellular processes taking place on the plant cells. The best solutions were chosen from the Pareto front in agreement with expert criterion. Results indicate that an initial inoculum concentration of 3.91g/L and an initial sucrose concentration of 23.63g/L, are recommended as initial conditions for obtaining a biomass productivity of 1.57g/L*day with an acceptable sucrose uptake. Experimental validation of the optimal found was carried out and the productivity obtained was 1.52g/L using an initial inoculum concentration of 4.27g/L and an initial sucrose concentration of 25.44g/L. Results suggest that the proposed methodology can be extended to increase the productivity in terms of metabolite production from this plant cell cultures and other plant species. © 2018, Universidad de Antioquia.adriana.villegas@ucc.edu.co40-35Universidad de AntioquiaBiotechnological processesMechanistic modelsModel-based optimizationModelling and optimizationMulti-objective problemMulti-objective optimization in biotechnological processes: Application to plant cell suspension cultures of Thevetia peruvianaArtículohttp://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/publishedVersionREV FAC ING-UNIV ANTinfo:eu-repo/semantics/closedAccesshttp://purl.org/coar/access_right/c_14cbPublication20.500.12494/41960oai:repository.ucc.edu.co:20.500.12494/419602024-08-20 16:20:22.96metadata.onlyhttps://repository.ucc.edu.coRepositorio Institucional Universidad Cooperativa de Colombiabdigital@metabiblioteca.com
dc.title.spa.fl_str_mv Multi-objective optimization in biotechnological processes: Application to plant cell suspension cultures of Thevetia peruviana
title Multi-objective optimization in biotechnological processes: Application to plant cell suspension cultures of Thevetia peruviana
spellingShingle Multi-objective optimization in biotechnological processes: Application to plant cell suspension cultures of Thevetia peruviana
Biotechnological processes
Mechanistic models
Model-based optimization
Modelling and optimization
Multi-objective problem
title_short Multi-objective optimization in biotechnological processes: Application to plant cell suspension cultures of Thevetia peruviana
title_full Multi-objective optimization in biotechnological processes: Application to plant cell suspension cultures of Thevetia peruviana
title_fullStr Multi-objective optimization in biotechnological processes: Application to plant cell suspension cultures of Thevetia peruviana
title_full_unstemmed Multi-objective optimization in biotechnological processes: Application to plant cell suspension cultures of Thevetia peruviana
title_sort Multi-objective optimization in biotechnological processes: Application to plant cell suspension cultures of Thevetia peruviana
dc.creator.fl_str_mv Villegas Quiceno, Adriana Patricia
Arias-Echeverri J.P.
Aragón-Mena D.
Ochoa-Cáceres S.
Arias-Zabala M.E.
dc.contributor.author.none.fl_str_mv Villegas Quiceno, Adriana Patricia
Arias-Echeverri J.P.
Aragón-Mena D.
Ochoa-Cáceres S.
Arias-Zabala M.E.
dc.subject.spa.fl_str_mv Biotechnological processes
Mechanistic models
Model-based optimization
Modelling and optimization
Multi-objective problem
topic Biotechnological processes
Mechanistic models
Model-based optimization
Modelling and optimization
Multi-objective problem
description Bioprocesses productivity is a compromise between two conflicting objectives, maximization of biomass growth rate and minimization of substrate consumption. In this work, a model based multi-objective optimization problem is solved for improving the process productivity in plant cell suspension cultures of Thevetia peruviana. A solution of the multi-objective problem allowed determining the optimal initial concentrations of substrate and biomass for assuring maximal productivity. Model-based optimization is carried out using a mechanistic model, which includes a representation of the intracellular processes taking place on the plant cells. The best solutions were chosen from the Pareto front in agreement with expert criterion. Results indicate that an initial inoculum concentration of 3.91g/L and an initial sucrose concentration of 23.63g/L, are recommended as initial conditions for obtaining a biomass productivity of 1.57g/L*day with an acceptable sucrose uptake. Experimental validation of the optimal found was carried out and the productivity obtained was 1.52g/L using an initial inoculum concentration of 4.27g/L and an initial sucrose concentration of 25.44g/L. Results suggest that the proposed methodology can be extended to increase the productivity in terms of metabolite production from this plant cell cultures and other plant species. © 2018, Universidad de Antioquia.
publishDate 2018
dc.date.issued.none.fl_str_mv 2018
dc.date.accessioned.none.fl_str_mv 2021-12-16T22:15:55Z
dc.date.available.none.fl_str_mv 2021-12-16T22:15:55Z
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
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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/10.18359/prole.1967
dc.identifier.issn.spa.fl_str_mv 01206230
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12494/41960
dc.identifier.bibliographicCitation.spa.fl_str_mv Villegas AP,Arias JP,Aragón D,Ochoa S,Arias ME. Multi-objective optimization in biotechnological processes: Application to plant cell suspension cultures of Thevetia peruviana. Rev. Fac. Ing. 2018. (87):p. 35-40. .
url https://doi.org/10.18359/prole.1967
https://hdl.handle.net/20.500.12494/41960
identifier_str_mv 01206230
Villegas AP,Arias JP,Aragón D,Ochoa S,Arias ME. Multi-objective optimization in biotechnological processes: Application to plant cell suspension cultures of Thevetia peruviana. Rev. Fac. Ing. 2018. (87):p. 35-40. .
dc.relation.ispartofjournal.spa.fl_str_mv REV FAC ING-UNIV ANT
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 40-35
dc.publisher.spa.fl_str_mv Universidad de Antioquia
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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