Improved calibration of a solid substrate fermentation model

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-meas...

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Autores principales:	Sacher,Johannes, Saa,Pedro, Cárcamo,Martín, López,Javiera, Gelmi,Claudio A, Pérez-Correa,Ricardo
Lenguaje:	English
Publicado:	Pontificia Universidad Católica de Valparaíso 2011
Materias:	Gibberella fujikuroi gibberellic acid global optimization metaheuristics nonlinear dynamic models parameter estimation solid substrate cultivation
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-34582011000500007
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spelling	oai:scielo:S0717-345820110005000072012-04-17Improved calibration of a solid substrate fermentation modelSacher,JohannesSaa,PedroCárcamo,MartínLópez,JavieraGelmi,Claudio APérez-Correa,Ricardo Gibberella fujikuroi gibberellic acid global optimization metaheuristics nonlinear dynamic models parameter estimation solid substrate cultivation 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. Conclusions: Sensibility and correlation analysis helped us detect reliability problems and provided suggestions to improve the design of future experiments.info:eu-repo/semantics/openAccessPontificia Universidad Católica de ValparaísoElectronic Journal of Biotechnology v.14 n.5 20112011-09-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-34582011000500007en
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	Gibberella fujikuroi gibberellic acid global optimization metaheuristics nonlinear dynamic models parameter estimation solid substrate cultivation
spellingShingle	Gibberella fujikuroi gibberellic acid global optimization metaheuristics nonlinear dynamic models parameter estimation solid substrate cultivation Sacher,Johannes Saa,Pedro Cárcamo,Martín López,Javiera Gelmi,Claudio A Pérez-Correa,Ricardo Improved calibration of a solid substrate fermentation model
description	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. Conclusions: Sensibility and correlation analysis helped us detect reliability problems and provided suggestions to improve the design of future experiments.
author	Sacher,Johannes Saa,Pedro Cárcamo,Martín López,Javiera Gelmi,Claudio A Pérez-Correa,Ricardo
author_facet	Sacher,Johannes Saa,Pedro Cárcamo,Martín López,Javiera Gelmi,Claudio A Pérez-Correa,Ricardo
author_sort	Sacher,Johannes
title	Improved calibration of a solid substrate fermentation model
title_short	Improved calibration of a solid substrate fermentation model
title_full	Improved calibration of a solid substrate fermentation model
title_fullStr	Improved calibration of a solid substrate fermentation model
title_full_unstemmed	Improved calibration of a solid substrate fermentation model
title_sort	improved calibration of a solid substrate fermentation model
publisher	Pontificia Universidad Católica de Valparaíso
publishDate	2011
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-34582011000500007
work_keys_str_mv	AT sacherjohannes improvedcalibrationofasolidsubstratefermentationmodel AT saapedro improvedcalibrationofasolidsubstratefermentationmodel AT carcamomartin improvedcalibrationofasolidsubstratefermentationmodel AT lopezjaviera improvedcalibrationofasolidsubstratefermentationmodel AT gelmiclaudioa improvedcalibrationofasolidsubstratefermentationmodel AT perezcorrearicardo improvedcalibrationofasolidsubstratefermentationmodel
_version_	1718441844690386944

Improved calibration of a solid substrate fermentation model

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