Development and implementation of a nonparametric/metabolic model in the process optimisation of PHA production by mixed microbial cultures

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Abstract

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.

Original languageEnglish
Title of host publication17th European Symposium on Computer Aided Process Engineering
EditorsValentin Plesu, Paul Serban Agachi
PublisherElsevier B.V.
Pages995-1000
Number of pages6
ISBN (Print)978-044453157-5
DOIs
Publication statusPublished - 1 Dec 2007
Event17th European Symposium of Computer Aided Process Engineering (ESCAPE 17) - Bucharest, Romania
Duration: 27 May 200730 May 2007
Conference number: 17th

Publication series

NameComputer Aided Chemical Engineering
PublisherElsevier B.V.
Volume24
ISSN (Print)1570-7946

Conference

Conference17th European Symposium of Computer Aided Process Engineering (ESCAPE 17)
Abbreviated titleESCAPE 17
CountryRomania
CityBucharest
Period27/05/0730/05/07

Keywords

  • Artificial Neural Networks
  • Elementary Flux Modes
  • Hybrid Modelling
  • Mixed Cultures.
  • Polyhydroxyalkanoates

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    Dias, J. M. L., Lemos, P. C., Serafim, L., Oehmen, A., Reis, M. A. M., & Oliveira, R. (2007). Development and implementation of a nonparametric/metabolic model in the process optimisation of PHA production by mixed microbial cultures. In V. Plesu, & P. S. Agachi (Eds.), 17th European Symposium on Computer Aided Process Engineering (pp. 995-1000). (Computer Aided Chemical Engineering; Vol. 24). Elsevier B.V.. https://doi.org/10.1016/S1570-7946(07)80190-8