| Title |
Model-based evaluation of ferrous iron oxidation by acidophilic bacteria in chemostat and biofilm airlift reactors
|
|---|---|
| Published in |
Journal of Industrial Microbiology & Biotechnology, October 2015
|
| DOI | 10.1007/s10295-015-1667-9 |
| Pubmed ID | |
| Authors |
Sirous Ebrahimi, Neda Faraghi, Maryam Hosseini |
| Abstract |
This article presents a model-based evaluation of ferrous iron oxidation in chemostat and biofilm airlift reactors inoculated with a mixed culture of Acidithiobacillus ferrooxidans and Leptospirillum ferrooxidans bacteria. The competition between the two types of bacteria in the chemostat and in the biofilm airlift reactors together with the distribution of both bacteria along the biofilm thickness at different time sections has been studied. The bacterial distribution profiles along the biofilm in the airlift reactor at different time scales show that in the beginning A. ferrooxidans bacteria are dominant, but when the reactor operates for a long time the desirable L. ferrooxidans species outcompete A. ferrooxidans as a result of the low Fe(2+) and high Fe(3+) concentrations. The results obtained from the simulation were compared with the experimental data of continuously operated internal loop airlift biofilm reactor. The model results are in good agreement with the experimental results. |
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 % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 2 | 18% |
| Student > Ph. D. Student | 2 | 18% |
| Student > Doctoral Student | 1 | 9% |
| Student > Bachelor | 1 | 9% |
| Professor | 1 | 9% |
| Other | 2 | 18% |
| Unknown | 2 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 27% |
| Agricultural and Biological Sciences | 2 | 18% |
| Environmental Science | 1 | 9% |
| Immunology and Microbiology | 1 | 9% |
| Unknown | 4 | 36% |
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 13 August 2015.
All research outputs
#22,756,649
of 25,371,288 outputs
Outputs from Journal of Industrial Microbiology & Biotechnology
#1,453
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Outputs of similar age
#245,761
of 286,873 outputs
Outputs of similar age from Journal of Industrial Microbiology & Biotechnology
#12
of 18 outputs
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