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...
- 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
- Palabra clave:
- Biotechnological processes
Mechanistic models
Model-based optimization
Modelling and optimization
Multi-objective problem
- Rights
- closedAccess
- License
- http://purl.org/coar/access_right/c_14cb
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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 |
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/10.18359/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 |
_version_ |
1814247056000155648 |