scholarly journals Baker’s yeast biomass production with rice as carbon and soy meal as nitrogen sources

Author(s):  
Keturah, I. ◽  
Sandrasegarampillai, B. ◽  
Vasanthy, A.
Author(s):  
Muhammad Asjad Khan ◽  
Muhammad Mohsin Javed ◽  
Asia Ahmed ◽  
Sana Zahoor ◽  
Kaleem Iqbal

Yeast extract is extensively applied in various food industries as a food additive to enhance to flavor of food products or as a vitamin supplement. It is also considered as a crucial component of microbiological media. The current study was conducted to optimize a process for the production of yeast extract by using Baker’s yeast (Saccharomyces cerevisiae). The cultivation of yeast biomass was performed in a stirred fermenter. The influence of numerous physical and chemical parameters such as carbon and nitrogen sources, temperature, pH and agitation were evaluated on the production of yeast cells by employing one factor at a time approach and optimum conditions for the production of maximum yeast biomass was determined. The maximum growth was attained using molasses as a substrate at 30ºC supplemented with urea at 150 rpm with pH 4.5. After fermentation, cells were separated by centrifugation and were ruptured by adopting different techniques and autolysis was found the most viable method. Various techniques were applied to dry the yeast extract and the spray dryer was appeared as most effective one. Yeast extract acquired after drying was subjected to various analysis including protein and solid content estimation and amino acid profiling and compared with commercial yeast extract. The dried yeast extract was incorporated in media preparations to grow various microorganisms including yeast, fungi and bacteria and considerable growth was observed. These promising results indicated that the developed process is a cost effective alternative approach for the production of yeast extract.


1988 ◽  
Vol 34 (8) ◽  
pp. 241-245 ◽  
Author(s):  
E. ŠTURDÍK ◽  
R. KOLLÁR ◽  
I. BERNÁT ◽  
M. MIKULÁŠOVÁ ◽  
J. FORSTHOFFER ◽  
...  

Desalination ◽  
2011 ◽  
Vol 278 (1-3) ◽  
pp. 42-49 ◽  
Author(s):  
Yunsong Zhang ◽  
Jiying Zhu ◽  
Li Zhang ◽  
Zhiming Zhang ◽  
Meng Xu ◽  
...  

2010 ◽  
Vol 178 (1-3) ◽  
pp. 1085-1093 ◽  
Author(s):  
Yunsong Zhang ◽  
Weiguo Liu ◽  
Meng Xu ◽  
Fei Zheng ◽  
Maojun Zhao

2019 ◽  
Vol 18 (2) ◽  
pp. 55-63 ◽  
Author(s):  
H.A.Murad . ◽  
Ebtesam Naeim Hosseany ◽  
Samy M. Abd Elhamid ◽  
Asmaa G. Abu-El Khair ◽  
H.H. Azzaz ◽  
...  

2015 ◽  
Vol 3 (3) ◽  
pp. 439-442
Author(s):  
D.V. Surya Prakash ◽  
Meena Vangalapati

Chebulinic acid is a phenolic compound, commonly found in the Terminalia chebula, Phyllanthus emblica, Dimocarpus longan species etc. The enhancement of Chebulinic acid was obtained from the composition of medicinal herbs by using Baker’s yeast (Saccharomyces cerevisiae) under fermentation process. The optimum results were observed for the effect of % inoculum, substrate wt, incubation period, temperature, pH, carbon sources and nitrogen sources were 2.0ml, 6g, 48hr, 30oC, 4.0, sucrose and yeast extract respectively. The Chebulinic acid concentration enhanced from 3.4 to 6.8mg/ml for the optimised conditions. Int J Appl Sci Biotechnol, Vol 3(3): 439-442


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.


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