Abstract
Cephalosporin C production process with Cephalosporium acremonium ATCC 48272 in synthetic medium was investigated and the experimental results allowed the development of a mathematical model describing the process behavior. The model was able to explain fairly well the diauxic phenomenon, higher growth rate during the glucose-consumption phase, and the production occurring only in the sucrose-consumption phase.
Moreover, the process was simulated utilizing the neural-networks technique. Two feed-forward neural-networks with one hidden layer were employed. Both models, phenomenological and neural-networks based, satisfactorily describe the bioprocess. The difficulties in determining kinetic parameters are avoided when neural networks are utilized.
Author to whom all correspondence and reprint requests should be addressed. E-mail: hokka@power.ufscar.br.
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Cruz, A.J.G., Araujo, M.L.G.C., Giordano, R.C., Hokka, C.O. (1998). Phenomenological and Neural-Network Modeling of Cephalosporin C Production Bioprocess. In: Finkelstein, M., Davison, B.H. (eds) Biotechnology for Fuels and Chemicals. Applied Biochemistry and Biotechnology. Humana Press, Totowa, NJ. https://doi.org/10.1007/978-1-4612-1814-2_53
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DOI: https://doi.org/10.1007/978-1-4612-1814-2_53
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