Improved calibration of a solid substrate fermentation model



Título del documento: Improved calibration of a solid substrate fermentation model
Revista: Electronic journal of biotechnology
Base de datos: PERIÓDICA
Número de sistema: 000358229
ISSN: 0717-3458
Autores: 1
2
2
2
2
2
Instituciones: 1Technical University of Berlin, Berlín. Alemania
2Pontificia Universidad Católica de Chile, Escuela de Ingeniería, Santiago de Chile. Chile
Año:
Volumen: 14
Número: 5
País: Chile
Idioma: Inglés
Tipo de documento: Artículo
Enfoque: Experimental, aplicado
Resumen en inglés 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
Disciplinas: Biología,
Química
Palabras clave: Biotecnología,
Fermentación,
Fermentación en sustrato sólido,
Estimación de parámetros,
Gibberella fujikuroi,
Acido giberélico
Keyword: Biology,
Chemistry,
Fermentation,
Biotechnology,
Solid substrate fermentation,
Parameters estimation,
Gibberella fujikuroi,
Gibberellic acid
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