Phenomenological and neural-network modeling of cephalosporin C production bioprocess.
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.
Departamento de Engenharia Química, Universidade Federal de São Carlos, C. P. 676-CEP 13565-905, São Carlos, SP, Brazil.
A J
AJ
Cruz
M L
ML
Araujo
R C
RC
Giordano
C O
CO
Hokka