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Modelling Flocculated Cell Suspensions using a Population Balance Approach: Applications to Microfiltration

Published online by Cambridge University Press:  11 February 2011

S. Ranil Wickramasinghe ,
Binbing Han ,
Saengchai Akeprathumchai  and
Xianghong Qian
S. Ranil Wickramasinghe
Affiliation:
Department of Chemical Engineering, Colorado State University, Fort Collins, CO 80523, U.S.A.
Binbing Han
Affiliation:
Department of Chemical Engineering, Colorado State University, Fort Collins, CO 80523, U.S.A.
Saengchai Akeprathumchai
Affiliation:
Department of Chemical Engineering, Colorado State University, Fort Collins, CO 80523, U.S.A.
Xianghong Qian
Affiliation:
Department of Physics, Colorado State University, Fort Collins, CO 80523, U.S.A.
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Abstract

Experimental results for flocculation of yeast and CHO cells using cationic polyelectrolytes are presented. These results suggest the existence of a self-similar floc size distribution. The experimentally determined floc size distributions have been modelled using a population balance approach. For flocculated yeast suspensions, the variation of the floc volume fraction with dimensionless particle diameter is predicted by the population balance model assuming a binary fragment distribution function. However, for CHO cell flocs, the floc volume fraction is predicted using a log normal fragment distribution function. Since the efficiency of unit operations such as microfiltration may be improved by flocculation of the feed suspension characterization of the particle size distribution is of great importance.

Type
Research Article
Information
MRS Online Proceedings Library (OPL) , Volume 752: Symposium AA – Membranes–Preparation, Properties and Applications , 2002 , AA14.5
Copyright
Copyright © Materials Research Society 2003

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References

REFERENCES

1. Belter, P. A., Cussler, E. L. and Hu, W. S., Bioseparations: Downstream Processing for Biotechnology, (John Wiley & Sons, New York, NY, 1988).Google Scholar
2. Kim, J. S., Akeprathumchai, S. and Wickramasinghe, S. R., J. Membr. Sci. 182, 161–172 (2001).Google Scholar
3. Wickramasinghe, S. R., Wu, Y. and Han, B., Desalination 147, 25–30 (2002).Google Scholar
4. Spicer, P. T. and Pratsinis, S. E., AIChE J. 42 (6), 1612–1620 (1996).Google Scholar
5. Tambo, N. and Watanabe, Y., Water Res. 13, 429–439 (1979).Google Scholar
6. Lu, C. F. and Spielman, L. A., J. Colloid Interf. Sci. 103 (1), 95–105 (1985).Google Scholar
7. Reich, I. and Vold, R. D., J. Phys. Chem.-US 63, 1497–1501 (1959).Google Scholar
8. Ramkrishna, D., Population Balances: Theory and Applications to Particulate Systems in Engineering, (Academic Press, New York, NY, 2000).Google Scholar
9. Abrahamson, J., Chem. Eng. Sci. 30 (11), 1371–1379 (1975).Google Scholar
10. Pandya, J. D. and Spielman, L. A., J. Colloid Interf. Sci. 90 (2), 517–531 (1982).Google Scholar
11. Kolmogoroff, A. N., Acad, C. R.. Sci. (Doklady) URSS, XXX1, 99–101 (1941).Google Scholar
12. Vigil, R. D. and Ziff, R. M., J. Colloid Interf. Sci. 133 (1), 257–264 (1989).Google Scholar