Data and knowledge based experimental design for fermentation process optimization

Authors
Berkholz, R Rohlig, D Guthke, R
Citation
R. Berkholz et al., Data and knowledge based experimental design for fermentation process optimization, ENZYME MICR, 27(10), 2000, pp. 784-788
Citations number
6
Categorie Soggetti
Biotecnology & Applied Microbiology",Microbiology
Journal title
ENZYME AND MICROBIAL TECHNOLOGY
ISSN journal
01410229 → ACNP
Volume
27
Issue
10
Year of publication
2000
Pages
784 - 788
Database
ISI
SICI code
0141-0229(200012)27:10<784:DAKBED>2.0.ZU;2-H
Abstract
A novel method for the sequential experimental design in order to optimize fed-batch fermentations was applied to a hyaluronidase fermentation by Stre ptococcus agalactiae. A Lambda -optimal design was introduced to minimize t he model parameter estimation error and to maximize the performance of the fermentation process. The method employs hybrid models that contain mechani stic, fuzzy and neural network components. (C) 2000 Elsevier Science Inc. A li rights reserved.