Incomplete mixing in large bioreactors — a study of its role in the fermentative production of streptokinase

The production of streptokinase in a batch fermentation has been analysed for the role of incomplete macromixing of the broth. The analysis is based on a kinetic model exhibiting inhibition by the substrate and a primary metabolite (lactic acid), and a mixing model comprising two continuous flow reactors (CFRs) with closed-loop recycle. The inoculum is introduced into one region (one CFR) and the mixing process determines its distribution, growth and reactivity. By varying the dilution rates of the CFRs, any degree of macromixing can be simulated. For dilution rates larger than 1.0 h−1 almost complete macromixing is achieved, for which an analogy has been drawn with micromixing. Increasing the volume of the inoculated region relative to the noninoculated region improves the maximum attainable activity of streptokinase and shortens the time for this. In such a situation an imperfectly mixed bioreactor is superior to a perfectly mixed one, implying that good productivity requires a large inoculated region and incomplete macromixing. These inferences are supported by earlier studies of fluid mixing and relaxation times in bioreactors.

[1]  N. W. F. Kossen,et al.  Regime analysis and scale-down: Tools to investigate the performance of bioreactors , 1987 .

[2]  D. E. Brown,et al.  Effect of incomplete mixing on the analysis of the static behaviour of continuous cultures , 1970, Biotechnology and Bioengineering.

[3]  C. Liou,et al.  The effect of nonideal mixing on input multiplicity in a CSTR , 1991 .

[4]  S. A. Beg,et al.  The order of micromixing and segregation effects on the biological growth process in a stirred-tank reactor , 1993 .

[5]  H. Malke,et al.  Streptokinase: cloning, expression, and excretion by Escherichia coli. , 1984, Proceedings of the National Academy of Sciences of the United States of America.

[6]  P. Patnaik Micromixing and the steady-state performance of bioreactors using recombinant bacteria--analysis through a reversed two-environment model. , 1994, Journal of chemical technology and biotechnology.

[7]  Anton Moser,et al.  Bioprocess Technology: Kinetics and Reactors , 1998 .

[8]  H. Malke,et al.  The streptokinase gene of group A streptococci: cloning, expression in Escherichia coli, and sequence analysis , 1989, Molecular microbiology.

[9]  Sungjin Park,et al.  Effect of operating parameters on specific production rate of a cloned‐gene product and performance of recombinant fermentation process , 1990, Biotechnology and bioengineering.

[10]  Predrag Horvat,et al.  Mixing-models applied to industrial batch bioreactors , 1993 .

[11]  K. Schügerl,et al.  Strategies for improving plasmid stability in genetically modified bacteria in bioreactors. , 1991, Trends in biotechnology.

[12]  J. A. Roels,et al.  Energetics and Kinetics in Biotechnology , 1983 .

[13]  W. Antuch,et al.  High Level Expression of Streptokinase in Escherichia Coli , 1992, Bio/Technology.

[14]  P. R. Patnaik A heuristic approach to fed-batch optimisation of streptokinase fermentation , 1995 .

[15]  Predrag Horvat,et al.  Engineering approach to mixing quantification in bioreactors , 1992 .

[16]  P. Patnaik THE EFFECT OF MACROMIXING ON OSCILLATORY BEHAVIOR IN RECOMBINANT FERMENTATION IN A CONTINUOUS STIRRED TANK REACTOR , 1993 .

[17]  K. Stuebner,et al.  Kinetic analysis and modelling of streptokinase fermentation , 1991 .

[18]  R. D. Tanner,et al.  The effect of imperfect mixing on an idealized kinetic fermentation model , 1985 .

[19]  K. Toda,et al.  Continuous culture in combined backmix–plug‐flow–tubular‐loop fermentor configurations , 1982, Biotechnology and bioengineering.

[20]  K. A. Parker,et al.  Expression of streptokinase in Pichia pastoris yeast , 1989 .

[21]  M. Reuss Structured Modeling of Bioreactors , 1991 .