Literature DB >> 18350390

A simple substrate feeding strategy using a pH control trigger in fed-batch fermentation.

Tiong-Ee Ting1, Gregory J Thoma, Robert R Beitle, Ralph K Davis, Rugkiat Perkins, Khursheed Karim, Hui-Min Liu.   

Abstract

A simple automated glucose feeding strategy based on pH control was developed to produce high-cell-density fed-batch fermentation. In this strategy, the pH control scheme utilized an acidified concentrated glucose solution to lower the pH. The frequency of glucose addition to the fermentor is determined by the culture's growth kinetics. To demonstrate the effectiveness of the coupled pH and glucose control strategy in biomass and/or secondary metabolite production, several fed-batch fermentations of indigenous Escherichia coli and recombinant E. coli were carried out. Both strains produced biomass with optical density of greater than 40 at 600 nm. We also tested the glucose control strategy using two types of pH controller: a less sophisticated portable pH controller and a more sophisticated online proportional-integral-derivative (PID) controller. Our control strategy was successfully applied with both controllers, although better control was observed using the PID controller. We have successfully demonstrated that a glucose feeding strategy based on a simple pH control scheme to indirectly control the glucose concentration can be easily achieved and adapted to conventional bioreactors in the absence of online glucose measurement and control.

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Year:  2007        PMID: 18350390     DOI: 10.1007/s12010-007-8089-8

Source DB:  PubMed          Journal:  Appl Biochem Biotechnol        ISSN: 0273-2289            Impact factor:   2.926


  1 in total

1.  Scaling up a virginiamycin production by a high-yield Streptomyces virginiae VKM Ac-2738D strain using adsorbing resin addition and fed-batch fermentation under controlled conditions.

Authors:  Vakhtang Dzhavakhiya; Vyacheslav Savushkin; Alexander Ovchinnikov; Vladislav Glagolev; Veronika Savelyeva; Evgeniya Popova; Nikita Novak; Elena Glagoleva
Journal:  3 Biotech       Date:  2016-11-12       Impact factor: 2.406

  1 in total

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