| Revista: | Electronic journal of biotechnology |
| Base de datos: | PERIÓDICA |
| Número de sistema: | 000358229 |
| ISSN: | 0717-3458 |
| Autores: | Sacher, Johannes1 Saa, Pedro2 Cárcamo, Martín2 López, Javiera2 Gelmi, Claudio A2 Pérez Correa, Ricardo2 |
| Instituciones: | 1Technical University of Berlin, Berlín. Alemania 2Pontificia Universidad Católica de Chile, Escuela de Ingeniería, Santiago de Chile. Chile |
| Año: | 2011 |
| 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 |
| Texto completo: | Texto completo (Ver HTML) |
