| Title |
Removal of pharmaceuticals from synthetic wastewater in an aerobic granular sludge membrane bioreactor and determination of the bioreactor microbial diversity
|
|---|---|
| Published in |
Applied Microbiology and Biotechnology, May 2016
|
| DOI | 10.1007/s00253-016-7577-6 |
| Pubmed ID | |
| Authors |
Xiao-chun Wang, Ji-min Shen, Zhong-lin Chen, Xia Zhao, Hao Xu |
| Abstract |
Five types of pharmaceuticals and personal care products (PPCPs) substances were selected as pollutants in this study. The effects of the removal of these pollutants and the microbial succession process in a granular sludge membrane bioreactor (GMBR) were investigated. Results showed that wastewater containing PPCPs influenced the performance of granular sludge. The removal of the five PPCPs from the GMBR had different effects. The removal rates of prednisolone, norfloxacin and naproxen reached 98.5, 87.8 and 84 %, respectively. The degradation effect in the GMBR system was relatively lower for sulphamethoxazole and ibuprofen, with removal efficiency rates of 79.8 and 63.3 %, respectively. Furthermore, the microbial community structure and diversity variation of the GMBR were analysed via high-throughput sequencing technology. The results indicated the structural and functional succession of the microbial community based on the GMBR process. The results indicate the key features of bacteria with an important role in drug degradation. |
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 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 1 | 1% |
| Unknown | 79 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 22 | 28% |
| Student > Master | 17 | 21% |
| Researcher | 10 | 13% |
| Student > Bachelor | 4 | 5% |
| Student > Postgraduate | 3 | 4% |
| Other | 9 | 11% |
| Unknown | 15 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 16 | 20% |
| Engineering | 14 | 18% |
| Agricultural and Biological Sciences | 9 | 11% |
| Biochemistry, Genetics and Molecular Biology | 5 | 6% |
| Chemical Engineering | 4 | 5% |
| Other | 8 | 10% |
| Unknown | 24 | 30% |
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 28 September 2016.
All research outputs
#19,611,252
of 24,119,703 outputs
Outputs from Applied Microbiology and Biotechnology
#6,478
of 8,034 outputs
Outputs of similar age
#260,935
of 343,831 outputs
Outputs of similar age from Applied Microbiology and Biotechnology
#101
of 138 outputs
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