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生物合成调控的青霉素发酵数学模型与过程优化
引用本文:徐亲民,周力军,张耀勋,王军峰,孙国志,冯惠勇.生物合成调控的青霉素发酵数学模型与过程优化[J].中国抗生素杂志,2003,28(6):328-333.
作者姓名:徐亲民  周力军  张耀勋  王军峰  孙国志  冯惠勇
作者单位:1. 河北科技大学生物科学与工程学院,石家庄,050018
2. 河北中润制药有限公司,石家庄,050041
摘    要:青霉素生物合成受溶解氧、溶解二氧化碳、pH、氨氮、碳源(特别是葡萄糖)等的调控,这些调控反应的产生不仅与基础培养基配方有关,更受发酵过程通气、搅拌条件及补料方案的影响。为此,笔者通过把握发酵过程中产生菌生长和青霉素生物合成代谢流的元素平衡、能量平衡以及传递与反应速度平衡的方法,结合生产经验和数据资料,建立了一种能够模拟青霉素发酵过程工艺学参数和经济学参数变化的数学模型。应用这一模型,在充分考虑生物合成代谢调控的基础上,对青霉素发酵过程进行优化,即通过补水维持上述平衡,避免因环境条件、初始条件和约束条件的变化及人为的失误造成的过程波动,使生产不断趋向最优状态。模拟运行表明,这种优化可显著提高发酵生产的经济效益。

关 键 词:青霉素  反复补料分批发酵  代谢调控  数学模型  过程优化  经济效益
文章编号:1001-8689(2003)06-0328-06
修稿时间:2002年9月3日

Modeling and optimization of biosynthesis regulation for penicillin fermentation
Xu Qin-min ,Zhou Li-jun ,Zhang Yao-xun ,Wang Jun-feng ,Sun Guo-zhi and Feng Hui-yong.Modeling and optimization of biosynthesis regulation for penicillin fermentation[J].Chinese Journal of Antibiotics,2003,28(6):328-333.
Authors:Xu Qin-min  Zhou Li-jun  Zhang Yao-xun  Wang Jun-feng  Sun Guo-zhi and Feng Hui-yong
Institution:Xu Qin-min 1,Zhou Li-jun 2,Zhang Yao-xun 2,Wang Jun-feng 2,Sun Guo-zhi 1 and Feng Hui-yong 1
Abstract:The penicillin biosynthesis was regulated by a series of pivotal factors such as dissolved oxygen, dissolved carbon dioxide, pH, ammonia-N, and carbon source (e.g. glucose) etc. The regulatory reaction related to medium composition, aeration condition, agitation rate, and a scheme for feed. By regulating the balances between element, energies, transfer, and reaction velocities in the metabolic flux of organism growth and penicillin biosynthesis, along with a great deal of experience and data, a mathematical model of penicillin fermentation which involved technical and economic parameter was established. On the basis of the model as well as in consideration of biosynthesis regulation, an optimization penicillin production was proposed. Through simulated running it was indicated that the optimization could improve significantly economic efficiency in penicillin fermentation.
Keywords:Penicillin  Repeat fed-batch fermentation  Metabolic regulation  Modeling  Optimization  Economic efficiency
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