Literature DB >> 16163492

Bioreactor hydrodynamic effect on Escherichia coli physiology: experimental results and stochastic simulations.

F Delvigne1, J Destain, P Thonart.   

Abstract

A microorganism circulating in a bioreactor can be submitted to hydrodynamic conditions inducing a significant effect on its physiology. The mixing time exhibited by the stirred bioreactor and the circulation of microorganisms are both involved in this reacting system. The mixing component determines the intensity of the concentration gradient and the circulation component determines the way in which the microorganism is exposed to this gradient. These two components linked to the experimental evaluation of microbial physiology can be analysed by a structured stochastic model in the case of a partitioned or "scale-down" reactor (SDR). A stochastic model indeed enables to simulate the mixing process as well as the circulation of microorganisms in SDRs. The superimposition of mixing and circulation processes determines the concentration profile experienced by a microorganism in the reactor. In the present case, the glucose concentration experienced by Escherichia coli has been modelled during a fed-batch culture. In this context, the use of a stochastic hydrodynamic model has permitted to point out an interesting feed pulse retardant effect in the SDRs. Nevertheless, the metabolic response of E. coli is not easy to interpret because of the possible simultaneous developments of overflow metabolism and mixed acid fermentation induced by the strong glucose concentration in the reactor.

Entities:  

Mesh:

Substances:

Year:  2005        PMID: 16163492     DOI: 10.1007/s00449-005-0018-z

Source DB:  PubMed          Journal:  Bioprocess Biosyst Eng        ISSN: 1615-7591            Impact factor:   3.210


  2 in total

1.  Alginate production and alg8 gene expression by Azotobacter vinelandii in continuous cultures.

Authors:  Alvaro Díaz-Barrera; Erik Soto; Claudia Altamirano
Journal:  J Ind Microbiol Biotechnol       Date:  2011-11-10       Impact factor: 3.346

2.  Real-time monitoring of cell viability and cell density on the basis of a three dimensional optical reflectance method (3D-ORM): investigation of the effect of sub-lethal and lethal injuries.

Authors:  Alison Brognaux; Jörg Bugge; Friedel H Schwartz; Philippe Thonart; Samuel Telek; Frank Delvigne
Journal:  J Ind Microbiol Biotechnol       Date:  2013-04-21       Impact factor: 3.346

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.