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分批发酵动力学模型参数的估计

Estimation for model parameters of batch fermentation kinetics.

作者信息

Fang B, Lin J

机构信息

Department of Chemical and Biochemical Engineering, Hua Qiao University, Quanzhou, China.

出版信息

Chin J Biotechnol. 1992;8(3):203-9.

PMID:1295601
Abstract

Based on the widely accepted mathematical model of fermentation kinetics, an analytical solution is deduced in this paper. To describe the feature of batch fermentation, the parameters of the fermentation kinetics in the analytical solution (i.e., mumax, Ks, beta, YG, YP, and m) are estimated at one strike with POWELL optimization algorithm coded in FORTRAN-77. The experimental data in the example is quoted from a batch lysine fermentation process using Corynebacterium glutamicum. The result shows that: 1) the calculated values of the mathematical model agree very well with the experimental data; 2) the synthesis rate of lysine depends on both the growth rate and the concentration of the biomass.

摘要

基于广泛接受的发酵动力学数学模型,本文推导了一种解析解。为描述分批发酵的特征,采用FORTRAN - 77编码的鲍威尔优化算法一次性估计了解析解中发酵动力学的参数(即μm、Ks、β、YG、YP和m)。实例中的实验数据引自谷氨酸棒杆菌的分批赖氨酸发酵过程。结果表明:1)数学模型的计算值与实验数据吻合良好;2)赖氨酸的合成速率取决于生长速率和生物量浓度。

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