» Articles » PMID: 18584647

Experimental Simulation of Oxygen Profiles and Their Influence on Baker's Yeast Production: I. One-fermentor System

Overview
Publisher Wiley
Specialty Biochemistry
Date 1988 Apr 20
PMID 18584647
Citations 9
Authors
Affiliations
Soon will be listed here.
Abstract

In production-scale bioreactors microorganisms are exposed to a continually changing environment. This may cause loss of viability, reduction of the yield of biomass or desired metabolites, and an increase in the formation of by-products. In fed-batch production of baker's yeast, profiles may occur in substrate and oxygen concentrations and in pH. This article deals with the influence of a periodically changing oxygen concentration on the growth of baker's yeast in a continuous culture. Also, influences on the production of ethanol, glycerol, acetic acid, and on the composition of the cells were investigated. It was found that relatively fast fluctuations between oxygen-unlimited and oxygen-limited conditions with a frequency of 1 or 2 min had a distinct influence on the biomass and metabolite production. However, RNA, protein, and carbohydrate contents measured in cells exposed to fluctuations differed little from those in cells from an oxygen-unlimited or an oxygen-limited culture. The respiration and fermentation capacities of cells exposed to fluctuations can be larger than the capacities of cells grown under oxygen-unlimited conditions.

Citing Articles

Euler-Lagrangian Simulations: A Proper Tool for Predicting Cellular Performance in Industrial Scale Bioreactors.

Sarkizi Shams Hajian C, Zieringer J, Takors R Adv Biochem Eng Biotechnol. 2020; 177:229-254.

PMID: 32978650 DOI: 10.1007/10_2020_133.


Investigation of Bar-seq as a method to study population dynamics of Saccharomyces cerevisiae deletion library during bioreactor cultivation.

Wehrs M, Thompson M, Banerjee D, Prahl J, Morella N, Barcelos C Microb Cell Fact. 2020; 19(1):167.

PMID: 32811554 PMC: 7437010. DOI: 10.1186/s12934-020-01423-z.


Comparative performance of different scale-down simulators of substrate gradients in Penicillium chrysogenum cultures: the need of a biological systems response analysis.

Wang G, Zhao J, Haringa C, Tang W, Xia J, Chu J Microb Biotechnol. 2018; 11(3):486-497.

PMID: 29333753 PMC: 5902331. DOI: 10.1111/1751-7915.13046.


Bioprocess scale-up/down as integrative enabling technology: from fluid mechanics to systems biology and beyond.

Delvigne F, Takors R, Mudde R, van Gulik W, Noorman H Microb Biotechnol. 2017; 10(5):1267-1274.

PMID: 28805306 PMC: 5609235. DOI: 10.1111/1751-7915.12803.


Synthetic and systems biology for microbial production of commodity chemicals.

Chubukov V, Mukhopadhyay A, Petzold C, Keasling J, Garcia Martin H NPJ Syst Biol Appl. 2017; 2:16009.

PMID: 28725470 PMC: 5516863. DOI: 10.1038/npjsba.2016.9.