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Mathematical modelling of industrial pilot‐plant penicillin‐G fed‐batch fermentations
Author(s) -
Menezes José C.,
Alves Sebastião S.,
Lemos João M.,
de Azevedo Sebastião Feyo
Publication year - 1994
Publication title -
journal of chemical technology and biotechnology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.64
H-Index - 117
eISSN - 1097-4660
pISSN - 0268-2575
DOI - 10.1002/jctb.280610207
Subject(s) - catabolite repression , fermentation , biomass (ecology) , mycelium , autolysis (biology) , raw material , corn steep liquor , pulp and paper industry , fed batch culture , sugar , bioreactor , biochemical engineering , process engineering , microbiology and biotechnology , chemistry , food science , engineering , biochemistry , biology , botany , agronomy , organic chemistry , mutant , gene , enzyme
Penicillin‐G fermentation with industrial media in 1 m 3 stirred tank bioreactors was studied. A model based on the Bajpai–Reuss model structure was developed. Under typical production conditions catabolite repression is nonidentifiable and extensive mycelium differentiation occurs. Thus, the original model was reformulated, neglecting glucose repression of penicillin production and including biomass autolysis. The multi‐substrate nature of industrial media was critically analysed. By combining the two most important carbon substrates present, a simple and applicable model was obtained. Model predictions agreed well with experimental data and reproduced the general characteristics observed in the fermentations. The predictive power of the model was tested for fermentations with different sugar feed rate profiles and raw materials (corn‐steep liquor and sugar syrup). Several aspects of parameter estimation and model development are discussed on the basis of direct experimental data inspection and a sensitivity analysis of model parameters.