Data and knowledge based experimental design for fermentation process optimization

Enzyme and Microbial Technology

Volumn 27, Issue 10, 2000, Pages 784-788

  Berkholz, Ralph ^a   Röhlig, Dirk ^b   Guthke, Reinhard ^b  

^a BIOCONTROL JENA GMBH   (Germany)

^b HANS KNÖLL INSTITUTE   (Germany)

Author keywords

Fed batch fermentation; Optimization; Sequential experimental design

Indexed keywords

BACTERIA; COMPUTER APPLICATIONS; DATA RECORDING; ENZYME KINETICS; KNOWLEDGE BASED SYSTEMS; PROCESS ENGINEERING;

FED BATCH FERMENTATION;

FERMENTATION;

HYALURONIDASE;

ARTIFICIAL NEURAL NETWORK; CONFERENCE PAPER; CONTROLLED STUDY; EXPERIMENTAL MODEL; FERMENTATION; NONHUMAN; STREPTOCOCCUS AGALACTIAE; TECHNIQUE; VALIDATION PROCESS;

POSIBACTERIA; STREPTOCOCCUS AGALACTIAE;

EID: 0034556034     PISSN: 01410229     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0141-0229(00)00301-X     Document Type: Conference Paper

References (6)

1. The design of optimum multifactorial experiments
2. Optimal feeding strategy for identification of Monod-type models by fed-batch experiments
3. Improving the estimation of parameters of penicillin fermentation models
4. Experimental design for the identification of macrokinetic models and model discrimination
5. Complementary characterization of a hyaluronic acid splitting enzyme from Streptococcus agalactiae
6. Turbidimetric measurement of acid mucopolysaccharides and hyaluronidase activity