| dc.creator | Sacher,Johannes | |
| dc.creator | Saa,Pedro | |
| dc.creator | Cárcamo,Martín | |
| dc.creator | López,Javiera | |
| dc.creator | Gelmi,Claudio A | |
| dc.creator | Pérez-Correa,Ricardo | |
| dc.date | 2011-09-01 | |
| dc.date.accessioned | 2019-05-03T12:44:53Z | |
| dc.date.available | 2019-05-03T12:44:53Z | |
| dc.identifier | https://scielo.conicyt.cl/scielo.php?script=sci_arttext&pid=S0717-34582011000500007 | |
| dc.identifier.uri | http://revistaschilenas.uchile.cl/handle/2250/85233 | |
| dc.description | 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. | |
| dc.format | text/html | |
| dc.language | en | |
| dc.publisher | Pontificia Universidad Católica de Valparaíso | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.source | Electronic Journal of Biotechnology v.14 n.5 2011 | |
| dc.subject | Gibberella fujikuroi | |
| dc.subject | gibberellic acid | |
| dc.subject | global optimization | |
| dc.subject | metaheuristics | |
| dc.subject | nonlinear dynamic models | |
| dc.subject | parameter estimation | |
| dc.subject | solid substrate cultivation | |
| dc.title | Improved calibration of a solid substrate fermentation model | |
