Improved calibration of a solid substrate fermentation model

Johannes Sacher ^[1] ; Pedro Saa ^[2] ; Martín Cárcamo ^[2] ; Javiera López ^[2] ; Claudio A Gelmi ^[2] ; Ricardo Pérez-Correa ^[2]
1. [1] Technical University of Berlin
  
  Technical University of Berlin
  
  Berlin, Stadt, Alemania
2. [2] Pontificia Universidad Católica de Chile
  
  Pontificia Universidad Católica de Chile
  
  Santiago, Chile
Localización: Electronic Journal of Biotechnology, ISSN-e 0717-3458, Vol. 14, Nº. 5, 2011, págs. 7-7
Idioma: inglés
Enlaces
- Texto completo
Resumen
- 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.