Control of formation of active soluble or inactive insoluble baker's yeast α-glucosidase PI in Escherichia coli by induction and growth conditions

1989 ◽  
Vol 216 (1) ◽  
pp. 149-155 ◽  
Author(s):  
Erhard Kopetzki ◽  
Guenter Schumacher ◽  
Peter Buckel
2020 ◽  
Vol 30 (5) ◽  
pp. 785-792 ◽  
Author(s):  
Soo-Yeon Yang ◽  
Yeong-Hoon Han ◽  
Ye-Lim Park ◽  
Jun-Young Park ◽  
So-young No ◽  
...  

Author(s):  
Maria Afroz Toma ◽  
Md. Kowser Ali ◽  
Radhia Sultana ◽  
Mohammad Gulzarul Aziz

The study aims to evaluate the growth kinetics of two different Baker’s yeast (S. cerevisiae) strains and to establish regression models for predicting and optimizing of the growth conditions of the strains. Two yeast strains of S. cerevisiae; one was commercial strain (CS) and another was isolated from traditional dry wine residue of Madhupur region, Bangladesh (MS), were used in the study. The effects of four different factors viz., time, temperature, agitation and the potato powder concentrations were assessed. The performance of the growth of the strains was monitored using three responses like OD at 600 nm, ethanol production and biomass yield (g.L-1). Fractional factorial design (24-1) was used to generate the experimental trials as well as to analyze the data to design a geometrical representation. The highest value of optical density, ethanol and biomass production for S. cerevisiae (CS) were obtained 1.439, 6.56 (g.L-1) and 0.39 (g.L-1) respectively, and for S. cerevisiae (MS) were 0.645, 0.621 (g.L-1) and 0.23 (g.L-1), respectively. The best conditions for biomass production were at 1% of potato powder concentration, temperature at 30ºC and agitation at 150 rpm. By using regression model it can be said that for two factor interaction: potato powder concentration with time and time with agitation had the significant effects but three factor interactions had no significant effect on the experiment. By establishing regression models from the obtained data, prediction and optimization of the strains’ growth conditions can be easily done.


Author(s):  
Kwee-Yan Teh

Thermodynamic concepts have been used in the past to predict microbial cell yield under various growth conditions. Cell yield may be the key consideration in some industrial biotechnology applications. It is not the case, however, in the context of biofuel production. In this paper, we examine the thermodynamics of fermentation and concomitant growth of baker’s yeast in continuous culture experiments under anaerobic, glucose-limited conditions, with emphasis on the yield and efficiency of ethanol production. We find that anaerobic metabolism of baker’s yeast is very efficient; the process destroys less than 7% of the total chemical exergy supplied to the fermentation reactor. However, the exergy of ethanol secreted constitutes less than 60% of the in-flowing exergy, or 75% that of glucose fed to the continuous culture. Effects of varying the specific adenosine 5′-triphosphate (ATP) consumption rate, which is the fundamental parameter that quantifies the energetic requirements for cell growth and maintenance, are also examined.


Microbiology ◽  
1980 ◽  
Vol 118 (1) ◽  
pp. 51-58 ◽  
Author(s):  
E. OURA ◽  
S. HAARASILTA ◽  
J. LONDESBOROUGH

FEBS Letters ◽  
1971 ◽  
Vol 14 (3) ◽  
pp. 146-148 ◽  
Author(s):  
D.G. Knorre ◽  
O.I. Lavrik ◽  
A.T. Prudchenko ◽  
V.M. Shumilov

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