Please use this identifier to cite or link to this item: https://repository.ucc.edu.co/handle/20.500.12494/41960
Full metadata record
DC FieldValueLanguage
dc.creatorVillegas Quiceno, Adriana Patricia-
dc.creatorArias-Echeverri J.P.-
dc.creatorAragón-Mena D.-
dc.creatorOchoa-Cáceres S.-
dc.creatorArias-Zabala M.E.-
dc.date.accessioned2021-12-16T22:15:55Z-
dc.date.available2021-12-16T22:15:55Z-
dc.date.issued2018-
dc.identifierhttps://doi.org/10.18359/prole.1967-
dc.identifier.issn01206230es
dc.identifier.urihttp://hdl.handle.net/20.500.12494/41960-
dc.description.abstractBioprocesses 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.es
dc.description.provenanceMade available in DSpace on 2021-12-16T22:15:55Z (GMT). No. of bitstreams: 0 Previous issue date: 2018en
dc.format.extent40-35es
dc.publisherUniversidad de Antioquiaes
dc.relation.ispartofREV FAC ING-UNIV ANTes
dc.subjectBiotechnological processeses
dc.subjectMechanistic modelses
dc.subjectModel-based optimizationes
dc.subjectModelling and optimizationes
dc.subjectMulti-objective problemes
dc.titleMulti-objective optimization in biotechnological processes: Application to plant cell suspension cultures of Thevetia peruvianaes
dc.typeArtículo-
dc.creator.mailadriana.villegas@ucc.edu.coes
dc.identifier.bibliographicCitationVillegas 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. .es
dc.rights.accessRightsDesconocidoes
dc.description.orcides
Appears in Collections:Artículos Científicos

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.