Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/4701

TitleApplication of genetic algorithms to model parameter identification of a recombinant E. coli high-cell density fed-batch fermentation
Author(s)Rocha, I.
Ferreira, E. C.
Issue date24-Aug-2003
CitationEUROPEAN CONGRESS ON BIOTECHNOLOGY, 11, Basel, 2003 - "Abstracts of 11th European Congress on Biotechnology". Basel : [s.n.], 2003.
Abstract(s)In this work, a genetic algorithm was used to estimate both yield and kinetic coefficients of an unstructured model representing a fed-batch high-cell density fermentation of E. coli. The model, based on the General State Space Dynamical Model was used to represent the three major metabolic pathways: oxidative growth on glucose, fermentative growth on glucose, and oxidative growth on acetate. The structure of the kinetic equations was derived from literature and adapted to represent experimental results. Genetic algorithms were used to minimize the normalized quadratic differences between simulated and real values of the state variables X, A and W, by manipulating both yield and kinetic coefficients.
TypeAbstract
URIhttp://hdl.handle.net/1822/4701
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CEB - Resumos em Livros de Atas / Abstracts in Proceedings

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