Improved calibration of a solid substrate fermentation model
Electron. j. biotechnol
;
14(5): 7-7, Sept. 2011. ilus, tab
Artículo
en Inglés
| LILACS
| ID: lil-640514
ABSTRACT
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.
Texto completo:
Disponible
Índice:
LILACS (Américas)
Asunto principal:
Biotecnología
/
Gibberella
/
Giberelinas
Tipo de estudio:
Estudio pronóstico
Idioma:
Inglés
Revista:
Electron. j. biotechnol
Asunto de la revista:
Biotecnologia
Año:
2011
Tipo del documento:
Artículo
País de afiliación:
Chile
/
Alemania
Institución/País de afiliación:
Pontificia Universidad Católica/CL
/
Technische Universitãt Berlin/DE
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