Premium
Investigation of bacterial growth on mixed substrates: Experimental evaluation of cybernetic models
Author(s) -
Kompala Dhinakar S.,
Ramkrishna Doraiswami,
Jansen Norman B.,
Tsao George T.
Publication year - 1986
Publication title -
biotechnology and bioengineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.136
H-Index - 189
eISSN - 1097-0290
pISSN - 0006-3592
DOI - 10.1002/bit.260280715
Subject(s) - biochemical engineering , cybernetics , chemistry , computer science , engineering , artificial intelligence
Cybernetic models, developed earlier by the authors, have been evaluated experimentally for the growth of Klebsiella oxytoca in batch cultures using mixed substrates from glucose, xylose, arabinose, lactose, and fructose. Based entirely on information procured from batch growth on single substrates, the models accurately predict without further parameter fitting, diauxic growth on mixed substrates, automatically predicting the order in which the substrates are consumed. Even triauxic growth on a mixture of glucose, xylose, and lactose is predicted by the model based on single substrate data. Growth on glucose‐fructose mixtures appears to need a slightly modified strategy for cybernetic variables.