Improved calibration of a solid substrate fermentation model
Electron. j. biotechnol
;
14(5): 7-7, Sept. 2011. ilus, tab
Article
in English
| 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.
Full text:
Available
Index:
LILACS (Americas)
Main subject:
Biotechnology
/
Gibberella
/
Gibberellins
Type of study:
Prognostic study
Language:
English
Journal:
Electron. j. biotechnol
Journal subject:
Biotechnology
Year:
2011
Type:
Article
Affiliation country:
Chile
/
Germany
Institution/Affiliation country:
Pontificia Universidad Católica/CL
/
Technische Universitãt Berlin/DE
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