| Title |
Exploring the correlations between antibiotics and antibiotic resistance genes in the wastewater treatment plants of hospitals in Xinjiang, China
|
|---|---|
| Published in |
Environmental Science and Pollution Research, April 2016
|
| DOI | 10.1007/s11356-016-6688-z |
| Pubmed ID | |
| Authors |
Chao Li, Jianjiang Lu, Jiang Liu, Genlin Zhang, Yanbing Tong, Na Ma |
| Abstract |
Various antibiotics have been extensively used to treating infectious diseases in hospitals. In this study, the abundance and diversity of antibiotics and antibiotic resistance genes (ARGs) were observed in the wastewater samples from five hospitals in Xinjiang, China. The total concentrations of tetracyclines, sulphonamides, and quinolones in hospital influents ranged from 363.4 to 753.3 ng/L, 285.5 to 634.9 ng/L, and 1355.8 to 1922.4 ng/L, respectively. However, the removal efficiency of tetracyclines, sulphonamides, and quinolones in wastewater treatment processes ranged from 72.4 to 79.3 %, 36.0 to 52.2 %, and 45.1 to 55.4 %, respectively. The contamination levels of the selected ARGs varied in all wastewater samples. The highest relative concentrations of sul1, sul2, tetQ, and qnrS were significantly higher than those of other ARGs in this study. Significant positive correlations between the relative abundance of partial ARGs and concentrations of certain antibiotics were observed in hospital wastewaters. Results show that integrons played an important role in disseminating and distributing ARGs in microorganism systems. Furthermore, strong correlations were observed between tetQ, sulphonamide resistance genes (except sulA) and intI1. This study aimed to determine the contamination levels of antibiotics and ARGs and analyze the relationships among ARGs, and antibiotics and integron genes in hospital wastewaters. |
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 % |
|---|---|---|
| United Kingdom | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | <1% |
| Unknown | 102 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 15 | 15% |
| Student > Ph. D. Student | 14 | 14% |
| Researcher | 13 | 13% |
| Student > Doctoral Student | 7 | 7% |
| Student > Bachelor | 6 | 6% |
| Other | 17 | 17% |
| Unknown | 31 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 17 | 17% |
| Engineering | 10 | 10% |
| Agricultural and Biological Sciences | 9 | 9% |
| Biochemistry, Genetics and Molecular Biology | 8 | 8% |
| Immunology and Microbiology | 6 | 6% |
| Other | 15 | 15% |
| Unknown | 38 | 37% |
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 21 April 2016.
All research outputs
#18,756,367
of 23,911,072 outputs
Outputs from Environmental Science and Pollution Research
#5,072
of 9,883 outputs
Outputs of similar age
#209,421
of 302,698 outputs
Outputs of similar age from Environmental Science and Pollution Research
#92
of 189 outputs
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