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...
Gespeichert in:
Veröffentlicht in: | Electronic Journal of Biotechnology 2012-10, Vol.14 (5) |
---|---|
Hauptverfasser: | , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | 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. |
---|---|
ISSN: | 0717-3458 0717-3458 |