An on-line physiological state recognition system for the lysine fermentation process based on a metabolic reaction model
✍ Scribed by Noboru Takiguchi; Hiroshi Shimizu; Suteaki Shioya
- Publisher
- John Wiley and Sons
- Year
- 1997
- Tongue
- English
- Weight
- 179 KB
- Volume
- 55
- Category
- Article
- ISSN
- 0006-3592
No coin nor oath required. For personal study only.
✦ Synopsis
A metabolic reaction model was developed for flux distribution (Vallino and Stephanopoulos, 1994a, the lysine fermentation process by Corynebacterium glu-1994b).
tamicum AJ-3462 to estimate the physiological state of Using biochemical stoichiometric equations in the the cells-that is, the growth and production activity, and metabolic pathways, flux distributions were analyzed by the flux distribution of metabolites-from on-line measolving a set of algebraic equations in the anaerobic surable rates only. First, the extended Kalman filter was applied to eliminate noise in the measured rates. Then, production of butyric acid (Papoutsakis, 1984), butaneusing the metabolic reaction model, the lysine production diol (Papoutsakis and Meyer, 1985a), propionic acid rate and flux distribution were calculated. The estimation (Papoutsakis and Meyer, 1985b), and acetone/butanol results allowed the physiological state of lysine produc- (Reardon et al., 1987), in which many branch points tion to be recognized, and an appropriate measure correwere considered in the pathways. Such methods have sponding to the estimated state, such as intermittent addition of glucose and/or leucine, to be taken to maintain a also been used to analyze the aerobic growth of Sacchahigh level of lysine productivity in batch culture. Finally, romyces cerevisiae, Candida utilis (van Gulik and Heijapplication of the recognition system enabled lysine to nen, 1995), Escherichia coli (Varma et al., 1993), and be produced from glucose at a higher yield than that Penicillin V production by Penicillium chrysogenum from glucose-or leucine-limited exponential fed-batch cultures.