| Title |
Single Cell Protein Production by Saccharomyces cerevisiae Using an Optimized Culture Medium Composition in a Batch Submerged Bioprocess
|
|---|---|
| Published in |
Applied Biochemistry and Biotechnology, April 2016
|
| DOI | 10.1007/s12010-016-2069-9 |
| Pubmed ID | |
| Authors |
Mehrnoosh Hezarjaribi, Fatemeh Ardestani, Hamid Reza Ghorbani |
| Abstract |
Saccharomyces cerevisiae PTCC5269 growth was evaluated to specify an optimum culture medium to reach the highest protein production. Experiment design was conducted using a fraction of the full factorial methodology, and signal to noise ratio was used for results analysis. Maximum cell of 8.84 log (CFU/mL) was resulted using optimized culture composed of 0.3, 0.15, 1, and 50 g L(-1) of ammonium sulfate, iron sulfate, glycine, and glucose, respectively at 300 rpm and 35 °C. Glycine concentration (39.32 % contribution) and glucose concentration (36.15 % contribution) were determined as the most effective factors on the biomass production, while Saccharomyces cerevisiae growth had showed the least dependence on ammonium sulfate (5.2 % contribution) and iron sulfate (19.28 % contribution). The most interaction was diagnosed between ammonium sulfate and iron sulfate concentrations with interaction severity index of 50.71 %, while the less one recorded for glycine and glucose concentration was equal to 8.12 %. An acceptable consistency of 84.26 % was obtained between optimum theoretical cell numbers determined by software of 8.91 log (CFU/mL), and experimentally measured one at optimal condition confirms the suitability of the applied method. High protein content of 44.6 % using optimum culture suggests that Saccharomyces cerevisiae is a good commercial case for single cell protein production. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 112 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 18 | 16% |
| Researcher | 15 | 13% |
| Student > Master | 13 | 12% |
| Student > Ph. D. Student | 5 | 4% |
| Student > Doctoral Student | 4 | 4% |
| Other | 10 | 9% |
| Unknown | 47 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 20 | 18% |
| Biochemistry, Genetics and Molecular Biology | 18 | 16% |
| Engineering | 9 | 8% |
| Immunology and Microbiology | 6 | 5% |
| Chemical Engineering | 4 | 4% |
| Other | 6 | 5% |
| Unknown | 49 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 April 2016.
All research outputs
#20,322,106
of 22,865,319 outputs
Outputs from Applied Biochemistry and Biotechnology
#2,039
of 2,508 outputs
Outputs of similar age
#253,403
of 299,111 outputs
Outputs of similar age from Applied Biochemistry and Biotechnology
#26
of 33 outputs
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