In this work we study the optimization of a polyhydroxyalkanoates (PHA) production process by mixed cultures based on a detailed hybrid metabolic model. The metabolic network under consideration was first decomposed into its fundamental pathways using the elementary flux modes (EFM) technique. Then, a dynamical hybrid semi-parametric model was formulated, which allowed to identify the EFM kinetics from experimental data of 7 batch runs. The EFM fluxes were interpreted in terms of metabolic consistency. The final model allowed to characterize the metabolism dynamics, namely of how the relative weight of pathways evolves in time in a typical batch or fed-batch run. The present technique is a step forward for the integration of systems biology and bioprocess control.
|Title of host publication||17th European Symposium on Computer Aided Process Engineering|
|Editors||Valentin Plesu, Paul Serban Agachi|
|Number of pages||6|
|Publication status||Published - 1 Dec 2007|
|Event||17th European Symposium of Computer Aided Process Engineering (ESCAPE 17) - Bucharest, Romania|
Duration: 27 May 2007 → 30 May 2007
Conference number: 17th
|Name||Computer Aided Chemical Engineering|
|Conference||17th European Symposium of Computer Aided Process Engineering (ESCAPE 17)|
|Abbreviated title||ESCAPE 17|
|Period||27/05/07 → 30/05/07|
- Artificial Neural Networks
- Elementary Flux Modes
- Hybrid Modelling
- Mixed Cultures.