Title: Stoichiometric modelling approach for microbial cultures monitoring

Authors: Carine Bideaux, Gerard Goma, Jean-Louis Uribelarrea, Boutaib Dahhou, Gilles Roux

Addresses: Universite de Toulouse, INSA, UPS, INP; LISBP, I135 Avenue de Rangueil, Toulouse F-31077, France; INRA, UMR792 Ingenierie des Systemes Biologiques et des Procedes, CNRS, UMR5504, Toulouse F-31400, France. ' Universite de Toulouse, INSA, UPS, INP; LISBP, I135 Avenue de Rangueil, Toulouse F-31077, France; INRA, UMR792 Ingenierie des Systemes Biologiques et des Procedes, CNRS, UMR5504, Toulouse F-31400, France. ' Universite de Toulouse, INSA, UPS, INP; LISBP, I135 Avenue de Rangueil, Toulouse F-31077, France; INRA, UMR792 Ingenierie des Systemes Biologiques et des Procedes, CNRS, UMR5504, Toulouse F-31400, France. ' Laboratoire d'Analyse et d'Architecture des Systemes – CNRS, 7 avenue du colonel Roche, Toulouse Cedex 4 31077, France. ' Laboratoire d'Analyse et d'Architecture des Systemes – CNRS, 7 avenue du colonel Roche, Toulouse Cedex 4 31077, France

Abstract: In this paper we present a modelling approach based on metabolic flux analysis model coupled to mass balance equations. The stoichiometric model is built from the knowledge of the biochemical pathways. Stoichiometric coefficients for anabolic reactions are varying with the biomass composition and are represented in the model by symbolic variables. The resolution of the obtained symbolic linear system gives the algebraic expression of each flux in the metabolic pathway as a function of the anabolic symbolic stoichiometric coefficients and of certain rates. With those expressions and the mass balance model, the evolution of dynamic cultures (rates and concentrations) can be predicted from online measured rates. The results obtained for a Kluyveromyces marxianus culture are shown.

Keywords: stoichiometric modelling; stoichiometry; metabolic flux; prediction; microbial cultures; monitoring; mass balance equations; biochemical pathways; anabolic reactions; biomass composition; Kluyveromyces marxianus culture.

DOI: 10.1504/IJMIC.2008.020550

International Journal of Modelling, Identification and Control, 2008 Vol.3 No.4, pp.413 - 426

Published online: 29 Sep 2008 *

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