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Fast and reliable calibration of solid substrate fermentation kinetic models using advanced non-linear programming techniques Electron. J. Biotechnol.
Araya,M. Macarena; Arrieta,Juan J; Pérez-Correa,J. Ricardo; Biegler,Lorenz T; Jorquera,Héctor.
Calibration 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...
Tipo: Journal article Palavras-chave: Dynamic models; Gibberellic acid; Nonlinear models; Parameter estimation; Secondary metabolites; Solid substrate cultivation.
Ano: 2007 URL: http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-34582007000100005
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Improved calibration of a solid substrate fermentation model Electron. J. Biotechnol.
Sacher,Johannes; Saa,Pedro; Cárcamo,Martín; López,Javiera; Gelmi,Claudio A; Pérez-Correa,Ricardo.
Background: Calibration of dynamic models in biotechnology is challenging. Kinetic models are usually complex and differential equations are highly coupled involving a large number of parameters. In addition, available measurements are scarce and infrequent, and some key variables are often non-measurable. Therefore, effective optimization and statistical analysis methods are crucial to achieve meaningful results. In this research, we apply a metaheuristic scatter search algorithm to calibrate a solid substrate cultivation model. Results: Even though scatter search has shown to be effective for calibrating difficult nonlinear models, we show here that a posteriori analysis can significantly improve the accuracy and reliability of the estimation....
Tipo: Journal article Palavras-chave: Gibberella fujikuroi; Gibberellic acid; Global optimization; Metaheuristics; Nonlinear dynamic models; Parameter estimation; Solid substrate cultivation.
Ano: 2011 URL: http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-34582011000500007
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