Development of a mathematical model for Bacillus circulans growth and alkaline protease production kinetics

BACKGROUND: An unstructured mathematical model was developed to understand information on the relationship between Bacillus circulans growth and metabolism-related protease production (using logistic and Luedeking-Piret equations respectively) in a batch reactor with respect to glucose consumption a...

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Bibliographic Details
Published in:Journal of chemical technology and biotechnology (1986) 2009-02, Vol.84 (2), p.302-307
Main Authors: Subba Rao, Chaganti, Sathish, Thadikamala, Pendyala, Brahamaiah, Kumar, Thella Prathap, Prakasham, Reddy Shetty
Format: Article
Language:English
Subjects:
alkaline protease
Applied sciences
Bacillus circulans
Biological and medical sciences
biomass production
Biotechnology
Chemical engineering
Exact sciences and technology
Fundamental and applied biological sciences. Psychology
growth kinetics
mathematical model
Methods. Procedures. Technologies
Others
Reactors
stirred tank reactor
Various methods and equipments
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Summary:BACKGROUND: An unstructured mathematical model was developed to understand information on the relationship between Bacillus circulans growth and metabolism-related protease production (using logistic and Luedeking-Piret equations respectively) in a batch reactor with respect to glucose consumption and fermentation time. The objective was to develop an indispensable tool for the optimisation, control, design and analysis of alkaline protease production.RESULTS: Biomass growth and enzyme production titres changed with a change in substrate concentration. Modelling analysis of biomass and enzyme production titres at different substrate concentrations revealed significant accuracy in terms of statistical consistency and robustness with respect to fermentation kinetic profiles.CONCLUSION: With the B. circulans strain used, an economic protease yield (2837 x 10³ U g⁻¹) with respect to biomass and glucose ratio was achieved at low substrate concentration (10 g L⁻¹). The developed model could be effectively utilised for designing, controlling and up-scaling the protease production process in high-density fermentation in selected bioreactors with statistical consistency. Copyright
ISSN:0268-2575
1097-4660
DOI:10.1002/jctb.2040