| Title |
A comparative study of eubacterial communities by PCR-DGGE fingerprints in anoxic and aerobic biotrickling filters used for biogas desulfurization
|
|---|---|
| Published in |
Bioprocess and Biosystems Engineering, April 2018
|
| DOI | 10.1007/s00449-018-1945-9 |
| Pubmed ID | |
| Authors |
Antonio Valle, Maikel Fernández, Martín Ramírez, Roger Rovira, David Gabriel, Domingo Cantero |
| Abstract |
Biological desulfurization has proven to be a process that is technically and economically feasible on using biotrickling filters that can be performed under aerobic and anoxic conditions. However, microbial communities are different mainly due to the use of different final electron acceptors. The analysis of microbial communities in these systems has not been addressed with regard to the anoxic process. The aim of the work reported here was to analyse the eubacterial community in the two types of bioreactor along the packed bed and during the operation time. The analysis was carried out using the 16S PCR-DGGE molecular fingerprint technique. The microbial profile analysis in the aerobic bioreactor revealed that the community was more diverse and stratified compared to those obtained in the two anoxic bioreactors, influenced by environmental factors. The main OTU involved in this process is genus Thiobacillus, although different species were detected depending on each operational condition. |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 29% |
| Student > Doctoral Student | 5 | 18% |
| Researcher | 4 | 14% |
| Other | 2 | 7% |
| Professor | 1 | 4% |
| Other | 3 | 11% |
| Unknown | 5 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 6 | 21% |
| Chemical Engineering | 3 | 11% |
| Engineering | 3 | 11% |
| Agricultural and Biological Sciences | 3 | 11% |
| Biochemistry, Genetics and Molecular Biology | 2 | 7% |
| Other | 2 | 7% |
| Unknown | 9 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 06 May 2018.
All research outputs
#6,626,432
of 25,461,852 outputs
Outputs from Bioprocess and Biosystems Engineering
#120
of 604 outputs
Outputs of similar age
#106,535
of 339,840 outputs
Outputs of similar age from Bioprocess and Biosystems Engineering
#1
of 1 outputs
Altmetric has tracked 25,461,852 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 604 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done well, scoring higher than 87% of its peers.
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We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them