| Issue |
E3S Web Conf.
Volume 194, 2020
2020 5th International Conference on Advances in Energy and Environment Research (ICAEER 2020)
|
|
|---|---|---|
| Article Number | 04010 | |
| Number of page(s) | 4 | |
| Section | Environmental Protection and Pollution Control | |
| DOI | https://doi.org/10.1051/e3sconf/202019404010 | |
| Published online | 15 October 2020 | |
Pollution Characteristics of Typical Antibiotic Resistance Genes in Sludge Treatment Wetlands
1 Key Laboratory of Biotechnology and Bioresources Utilization, Ministry of Education, Dalian Minzu University, Dalian 116600, China
2 College of Environment and Resources, Dalian Minzu University, Dalian 116600, China
* Corresponding author: zhangwanjun@dlnu.edu.cn
The in-situ static box method was used to conduct a comparative experiment on sludge treatment wetlands (STWs). STW1 had ventilation structure, without reeds and STW2 had ventilation and was planted with reeds. The absolute abundance of sulfonamide, tetracycline and macrolide antibiotic resistance genes (ARGs) in the two STWs were analyzed, and the paper discussed pollution characteristics of typical antibiotic resistance genes in the two STWs. The results showed that three ARGs, sul1 (sulfonamides), tetC (tetracyclines), ermf (macrolides), were detected in STW1 and STW2. The concentration of arginine was sul1 > tetC > ermf. The concentration level of AGRS in STW1 and STW2 was lower in bottom layer than that of surface layer sludge. The removal efficiency of ARGs in the same system was tetC > sul1 > ermf, and the removal efficiency of surface sludge and bottom sludge in different systems was STW2 > STW1. Planting wetland plants in the STW can promote the removal of ARGs.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.