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工业发酵过程的多尺度研究及其优化。

A multi-scale study of industrial fermentation processes and their optimization.

作者信息

Zhang Siliang, Chu Ju, Zhuang Yingping

机构信息

State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, China.

出版信息

Adv Biochem Eng Biotechnol. 2004;87:97-150. doi: 10.1007/b13537.

Abstract

In this article problems in multi-scale industrial fermentation processes are discussed. The problems are generated virtually, by using computer simulation on three different scales--the molecular scale (genetics), the cellular scale (metabolic regulation), and the reactor engineering scale. Inter-scale observation and operation are deemed to be crucial in the optimization of bioprocesses. Bioreaction engineering based on metabolic flux analysis and control is further elucidated. Optimization methodology for study of multi-scale problems in a fermentation process, based on correlation of data, and the scale-up technique for regulation of several bioprocess parameters are generalized by investigation of two typical fermentation processes. A novel bioreactor system was designed to monitor mass flux (for example substrates and (by-)products) in a fermentation process. It was successfully applied to the optimization and scale-up of an industrial fermentation process for penicillin, erythromycin, chlortetracyclin, inosine, and guanosine, and for production of recombinant human serum albumin and a malaria vaccine by use of the Pichia expression system. Substantial improvement of industrial fermentation productivity was achieved.

摘要

本文讨论了多尺度工业发酵过程中的问题。这些问题是通过在三个不同尺度上进行计算机模拟虚拟产生的,即分子尺度(遗传学)、细胞尺度(代谢调控)和反应器工程尺度。跨尺度观察和操作被认为对生物过程的优化至关重要。基于代谢通量分析和控制的生物反应工程得到了进一步阐述。通过对两个典型发酵过程的研究,归纳了基于数据关联的发酵过程多尺度问题研究的优化方法以及用于调节多个生物过程参数的放大技术。设计了一种新型生物反应器系统来监测发酵过程中的质量通量(例如底物和(副)产物)。该系统已成功应用于青霉素、红霉素、金霉素、肌苷和鸟苷的工业发酵过程的优化和放大,以及利用毕赤酵母表达系统生产重组人血清白蛋白和疟疾疫苗。工业发酵生产率得到了显著提高。

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