title: Application of a data reconciliation method to the stoichiometric analysis of Fibrobacter succinogenes growth.
abstract: Fibrobacter succinogenes S85, a strictly anaerobic Gram-negative bacterium, was grown in continuous culture in a bioreactor at different dilution rates (0.02 to 0.092 h(-1)) on a fully synthetic culture medium with glucose as carbon source. Glucose and ammonium sulfate consumption, as well as biomass, succinate, acetate, formate, and carbohydrate production were regularly measured. The relevant biomass elemental compositions were established for each dilution rate. Robustness of the experimental information was checked by C and N mass balances estimation, which were satisfactory. A detailed overall stoichiometry analysis of the process, including all substrates and products of the culture, was proposed. Online and off-line parameters measured during the culture brought a large number of data which were weighted by their respective variance associated to the measured value. The material balance resulted in an overdetermined linear system of equations made of weighted relationships including experimental data, elemental balances (C, H, O, N, S, Na), and an additional constraint. The mass balances involved in stoichiometric equations were solved using data reconciliation and linear algebra methods to take into account error measurements. This methodology allowed to establish the overall stoichiometric equation for each dilution rate studied.
authors.affiliation: Laboratoire de Génie Chimique et Biochimique, Polytech'Clermont-Ferrand, Université Blaise Pascal, BP 206, F-63174, Aubière Cedex, France.
authors.forename: Erell
authors.initials: E
authors.lastname: Guiavarch
authors.forename: Agnes
authors.initials: A
authors.lastname: Pons
authors.forename: Catherine
authors.initials: C
authors.lastname: Creuly
authors.forename: Claude-Gilles
authors.initials: CG
authors.lastname: Dussap
mesh_terms: D018533:Biomass; D019149:Bioreactors; D045848:Fibrobacter / Q000254:growth & development* / Q000378:metabolism; D008962:Models, Theoretical