| Title |
Maximizing power generation from dark fermentation effluents in microbial fuel cell by selective enrichment of exoelectrogens and optimization of anodic operational parameters
|
|---|---|
| Published in |
Biotechnology Techniques, January 2017
|
| DOI | 10.1007/s10529-017-2289-2 |
| Pubmed ID | |
| Authors |
Jhansi L. Varanasi, Pallavi Sinha, Debabrata Das |
| Abstract |
To selectively enrich an electrogenic mixed consortium capable of utilizing dark fermentative effluents as substrates in microbial fuel cells and to further enhance the power outputs by optimization of influential anodic operational parameters. A maximum power density of 1.4 W/m(3) was obtained by an enriched mixed electrogenic consortium in microbial fuel cells using acetate as substrate. This was further increased to 5.43 W/m(3) by optimization of influential anodic parameters. By utilizing dark fermentative effluents as substrates, the maximum power densities ranged from 5.2 to 6.2 W/m(3) with an average COD removal efficiency of 75% and a columbic efficiency of 10.6%. A simple strategy is provided for selective enrichment of electrogenic bacteria that can be used in microbial fuel cells for generating power from various dark fermentative effluents. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 2% |
| Unknown | 41 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 24% |
| Researcher | 8 | 19% |
| Student > Master | 3 | 7% |
| Student > Bachelor | 3 | 7% |
| Professor | 2 | 5% |
| Other | 7 | 17% |
| Unknown | 9 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 8 | 19% |
| Agricultural and Biological Sciences | 7 | 17% |
| Chemical Engineering | 4 | 10% |
| Energy | 4 | 10% |
| Biochemistry, Genetics and Molecular Biology | 2 | 5% |
| Other | 5 | 12% |
| Unknown | 12 | 29% |
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 15 October 2017.
All research outputs
#19,947,956
of 25,377,790 outputs
Outputs from Biotechnology Techniques
#2,303
of 2,762 outputs
Outputs of similar age
#306,059
of 423,378 outputs
Outputs of similar age from Biotechnology Techniques
#12
of 13 outputs
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