Show simple item record

dc.creatorAraya,M. Macarena
dc.creatorArrieta,Juan J
dc.creatorPérez-Correa,J. Ricardo
dc.creatorBiegler,Lorenz T
dc.creatorJorquera,Héctor
dc.date2007-01-01
dc.date.accessioned2019-05-03T12:44:23Z
dc.date.available2019-05-03T12:44:23Z
dc.identifierhttps://scielo.conicyt.cl/scielo.php?script=sci_arttext&pid=S0717-34582007000100005
dc.identifier.urihttp://revistaschilenas.uchile.cl/handle/2250/84928
dc.descriptionCalibration of mechanistic kinetic models describing microorganism growth and secondary metabolite production on solid substrates is difficult due to model complexity given the sheer number of parameters needing to be estimated and violation of standard conditions of numerical regularity. We show how advanced non-linear programming techniques can be applied to achieve fast and reliable calibration of a complex kinetic model describing growth of Gibberella fujikuroi and production of gibberellic acid on an inert solid support in glass columns. Experimental culture data was obtained under different temperature and water activity conditions. Model differential equations were discretized using orthogonal collocations on finite elements while model calibration was formulated as a simultaneous solution/optimization problem. A special purpose optimization code (IPOPT) was used to solve the resulting large-scale non-linear program. Convergence proved much faster and a better fitting model was achieved in comparison with the standard sequential solution/optimization approach. Furthermore, statistical analysis showed that most parameter estimates were reliable and accurate
dc.formattext/html
dc.languageen
dc.publisherPontificia Universidad Católica de Valparaíso
dc.relation10.4067/S0717-34582007000100005
dc.rightsinfo:eu-repo/semantics/openAccess
dc.sourceElectronic Journal of Biotechnology v.10 n.1 2007
dc.subjectdynamic models
dc.subjectGibberellic acid
dc.subjectnonlinear models
dc.subjectparameter estimation
dc.subjectsecondary metabolites
dc.subjectsolid substrate cultivation
dc.titleFast and reliable calibration of solid substrate fermentation kinetic models using advanced non-linear programming techniques


This item appears in the following Collection(s)

Show simple item record