Browse > Article

Combined Age and Segregated Kinetic Model for Industrial-scale Penicillin Fed-batch Cultivation  

Wang Zhifeng (Department of Automatic Control, Shanghai Jiaotong University)
Lauwerijssen Maarten J. C. (Food and Bioprocess Engineering Group, Wageningen University)
Yuan Jingqi (Department of Automatic Control, Shanghai Jiaotong University, State Key Laboratory of Bioreactor Engineering, ECUST)
Publication Information
Biotechnology and Bioprocess Engineering:BBE / v.10, no.2, 2005 , pp. 142-148 More about this Journal
Abstract
This paper proposes a cell age model for Penicillium chrysogenum fed-batch cultivation to supply a qualitative insight into morphology-associated dynamics. The average ages of the segregated cell populations, such as growing cells, non-growing cells and intact productive cells, were estimated by this model. A combined model was obtained by incorporating the aver-age ages of the cell sub-populations into a known but modified segregated kinetic model from literature. For simulations, no additional effort was needed for parameter identification since the cell age model has no internal parameters. Validation of the combined model was per-formed by 20 charges of industrial-scale penicillin cultivation. Meanwhile, only two charge-dependent parameters were required in the combined model among approximately 20 parameters in total. The model is thus easily transformed into an adaptive model for a further application in on-line state variables prediction and optimal scheduling.
Keywords
cell age; segregated kinetic model; model validation; state variables prediction; penicillin cultivation;
Citations & Related Records

Times Cited By Web Of Science : 1  (Related Records In Web of Science)
Times Cited By SCOPUS : 1
연도 인용수 순위
1 Paul, G. C. and C. R. Thomas (1996) A structured model for hyphal differentiation and penicillin production using Penicillium chrysogenum. Biotechnol. Bioeng. 51: 558-572   DOI   ScienceOn
2 Yuan, J. Q., K.-H. Bellgardt, W.-D. Deckwer, and W. S. Jiang (1993) Modification and verification of the cell cycling model for Saccharomyces cerevisiae. Bioproc. Eng. 9: 173-182   DOI   ScienceOn
3 Nelder, R. and J. A. Mead (1965) A simplex method for function minimization. Comput. J. 7: 308-313   DOI
4 Levenspiel, O. (1979) Chemical Reactor Omnibook. Chapter 81-84. Covallis, OSU Book Stores, Inc
5 Cain, S. J. and P. C. Chau (1998) Transition probability cell cycle model with product formation. Biotechnol. Bioeng. 58: 387-399   DOI   ScienceOn
6 Deckwer, W.-D., J. Q. Yuan, K.-H. Bellgardt, and W. S. Jiang (1991) A dynamic cell cycling model for growth of baker's yeast and its application in profit optimization. Bioproc. Eng. 6: 265-272   DOI
7 Nielsen, J. (1992) Modelling the growth of filamentous fungi. Adv. Biochem. Eng. Biotechnol. 46: 187-223   DOI
8 Tiller, V., J. Meyerhoff, D. Sziele, K. Schügerl, and K.-H. Bellgardt (1994) Segregated mathematical model for the fed-batch cultivation of a high-producing strain Penicillium chrysogenum. J. Biotechnol. 34: 119-131   DOI   ScienceOn