Phenomenological and neural-network modeling of cephalosporin C production bioprocess |
| |
Authors: | Cruz A J G Araujo M L G C Giordano R C Hokka C O |
| |
Institution: | 1.Departamento de Engenharia Química, Universidade Federal de S?o Carlos, C. P. 676, CEP 13565-905, S?o Carlos, SP, Brazil ; |
| |
Abstract: | Cephalosporin C production process withCephalosporium 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. |
| |
Keywords: | Index Entries" target="_blank">Index Entries Cephalosporium acremonium cephalosporin C phenomenological modeling neural network diauxic phenomenon |
本文献已被 SpringerLink 等数据库收录! |
|