| Title |
Effect of dilution rate on productivity of continuous bacteriophage production in cellstat
|
|---|---|
| Published in |
Applied Microbiology and Biotechnology, March 2018
|
| DOI | 10.1007/s00253-018-8893-9 |
| Pubmed ID | |
| Authors |
Dominik Nabergoj, Nina Kuzmić, Benjamin Drakslar, Aleš Podgornik |
| Abstract |
Ability to efficiently propagate high quantities of bacteriophages (phages) is of great importance considering higher phage production needs in the future. Continuous production of phages could represent an interesting option. In our study, we tried to elucidate the effect of dilution rate on productivity of continuous production of phages in cellstat. As a model system, a well-studied phage T4 and Escherichia coli K-12 as a host were used. Experiments where physiology of bacteria was changing with dilution rate of cellstat and where bacterial physiology was kept constant were performed. For both setups there exists an optimal dilution rate when maximal productivity is achieved. Experimentally obtained values of phage concentration and corresponding productivity were compared with mathematical model predictions, and good agreement was obtained for both types of experiments. Analysis of mathematical model coefficients revealed that latent period and burst size to dilution rate coefficient mostly affect optimum dilution rate and productivity. Due to high sensitivity, it is important to evaluate phage growth parameters carefully, to run cellstat under optimal productivity. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 33% |
| United Kingdom | 1 | 33% |
| France | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 57 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 14% |
| Student > Ph. D. Student | 7 | 12% |
| Researcher | 6 | 11% |
| Student > Bachelor | 5 | 9% |
| Professor | 2 | 4% |
| Other | 3 | 5% |
| Unknown | 26 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 7 | 12% |
| Biochemistry, Genetics and Molecular Biology | 7 | 12% |
| Chemical Engineering | 5 | 9% |
| Veterinary Science and Veterinary Medicine | 2 | 4% |
| Environmental Science | 2 | 4% |
| Other | 6 | 11% |
| Unknown | 28 | 49% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 09 March 2018.
All research outputs
#15,190,918
of 24,119,703 outputs
Outputs from Applied Microbiology and Biotechnology
#5,484
of 8,034 outputs
Outputs of similar age
#192,783
of 336,180 outputs
Outputs of similar age from Applied Microbiology and Biotechnology
#79
of 141 outputs
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