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.
Cruz
A J
AJ
Departamento de Engenharia Química, Universidade Federal de São Carlos, C. P. 676-CEP 13565-905, São Carlos, SP, Brazil.
Araujo
M L
ML
Giordano
R C
RC
Hokka
C O
CO