Literature DB >> 15217105

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

Siliang Zhang1, Ju Chu, Yingping Zhuang.   

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.

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Year:  2004        PMID: 15217105     DOI: 10.1007/b13537

Source DB:  PubMed          Journal:  Adv Biochem Eng Biotechnol        ISSN: 0724-6145            Impact factor:   2.635


  2 in total

1.  Application of oxygen uptake rate and response surface methodology for erythromycin production by Saccharopolyspora erythraea.

Authors:  Xiang Zou; Hai-feng Hang; Chang-fa Chen; Ju Chu; Ying-ping Zhuang; Si-liang Zhang
Journal:  J Ind Microbiol Biotechnol       Date:  2008-08-16       Impact factor: 3.346

2.  Four-stage dissolved oxygen strategy based on multi-scale analysis for improving spinosad yield by Saccharopolyspora spinosa ATCC49460.

Authors:  Yun Bai; Peng-Peng Zhou; Pei Fan; Yuan-Min Zhu; Yao Tong; Hong-Bo Wang; Long-Jiang Yu
Journal:  Microb Biotechnol       Date:  2015-03-26       Impact factor: 5.813

  2 in total

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