A 9-pool metabolic structured kinetic model describing days to seconds dynamics of growth and product formation byPenicillium chrysogenum

2017 ◽  
Vol 114 (8) ◽  
pp. 1733-1743 ◽  
Author(s):  
Wenjun Tang ◽  
Amit T. Deshmukh ◽  
Cees Haringa ◽  
Guan Wang ◽  
Walter van Gulik ◽  
...  
2006 ◽  
Vol 93 (4) ◽  
pp. 779-790 ◽  
Author(s):  
Prashant M. Bapat ◽  
Sharad Bhartiya ◽  
K.V. Venkatesh ◽  
Pramod P. Wangikar

1996 ◽  
Vol 42 (2-3) ◽  
pp. 187-195 ◽  
Author(s):  
F. García-Ochoa ◽  
V.E. Santos ◽  
A. Alcón

2013 ◽  
Vol 781-784 ◽  
pp. 647-652
Author(s):  
Shuang Gao ◽  
Ling Hua Zhang ◽  
Qing Chen ◽  
Lin Bai ◽  
Ya Jun Lang

Ectoine had important physiological functions and superior potential applications, so the study of ectoine was extensively attented. This article was related to kinetic models of cell growth, product formation and substrate consumption, which was not only established according to the characteristics of ectoine batch fermentation by Halomonas salina DSM 5928 but also obtained the kinetic parameters by the nonlinear fitting method in the Microcal Origin software. Logistic, Luedeking-Piret and Luedeking-Piret-like equations was applied to analyze the cell growth, the ectoine formation and the substrate consumption by the kinetic model,respectively. The results between calculated values and experimental data were coincident. By fitting, correlation coefficients R2 were ≥ 0.989. The fermentation conditions of ectoine were analyzed according to the model. The results showed that ectoine productivity (0.28 g/L/h) was the highest when initial monosodium glutamate concentration (S0) was 60 g/L. However, when S0 was 80 g/L, the ectoine concentration was maximal, i.e., 7.59 g/L. The research suggested that ectoine formation belonged to the mixed kinetic mechanism of cell growth and biomass concentration, while the ectoine production mainly depended on instantaneous biomass concentration. The fermentation method for improving ectoine concentration was further proved. The established kinetic model will be of significant value to provide the optimal conditions of present process.


Author(s):  
S. Suresh ◽  
Noor Salam Khan ◽  
Vimal Chandra Srivastava ◽  
Indra Mani Mishra

In the present work, a kinetic model has been developed for the batch fermentation of glucose for the production of L-glutamic acid (LGA) by Corynebacterium glutamicum. Parameters of the kinetic model have been determined by using the experimental data available in literature and the results have been compared by carrying out computer simulation. The kinetic model proposed in the present study provides better predictions for the growth of biomass, substrate consumption and LGA production as compared to the prediction reported by Bona and Moser (Bioprocess Engineering 17(2) (1997b) 121-125). The present model also fits the experimental data given by Zhang et al. (Enzyme and Microbial Technology, 22, 205-209, 1998) and Khan et al. (Biochemical Engineering Journal, 25, 173–178, 2005), respectively. Sensitivity analysis was carried out to assess the validity of the developed model, and to reveal the kinetic parameter that has maximum impact on LGA production. It is found that an increase in the non-growth associated product formation coefficient caused highest negative impact on LGA production.


1985 ◽  
Vol 27 (12) ◽  
pp. 1699-1709 ◽  
Author(s):  
Sun Bok Lee ◽  
Alex Seressiotis ◽  
James E. Bailey

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