The removal of antibiotic resistance genes in secondary effluent by the combined process of PAC-UF
The removal of antibiotic resistance genes in secondary effluent by the combined process of PAC-UF
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PAC-UF联合工艺去除二级出水中抗生素耐药基因
DOI：
10.1080/10934529.2019.1631090
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发表时间：
2019-06
期刊：
影响因子：
--
通讯作者：
Chen Tao
中科院分区：
文献类型：
--
作者：
Sun Lihua;Gao Cheng;He Ning;Yang Bingbing;Duan Xi;Chen Tao
摘要抗生素耐药基因（ARGs）作为一种新兴的环境污染物，已成为人类健康的威胁。本文采用粉末活性炭（PAC）-超滤（UF）组合工艺，研究了废水中ARGs、I类整合子（intI 1）、16 SrDNA和溶解性有机碳（DOC）的去除效果。此外，还探讨了PAC-UF对ARGs的去除机理。我们的研究结果表明，较高的PAC浓度可能会增加DOC和ARGs的去除。DOC和ARGs的最大去除率分别为63.2%和1.35-log-3.35-log。同时，ARGs与DOC、intI 1和16 SrDNA呈正相关，表明降低其浓度有助于ARGs的减少。实验还发现，PAC的最佳投加量可以有效提高膜通量，降低膜污染阻力，缓解膜污染。本研究表明，PAC-UF工艺是一种潜在的深度水净化工艺和控制技术，以减少ARGs的风险。
Abstract Antibiotic resistance genes (ARGs), as emerging environmental contaminants, have become a threat to human health. Here, we use the combined process of powdered activated carbon (PAC) and ultrafiltration (UF) to investigate the removal of ARGs, the class I integron (intI1), 16S rDNA and dissolved organic carbon (DOC) in wastewater effluent. Additionally, the removal mechanisms of ARGs by PAC-UF were investigated. Our results show that a higher PAC concentration might increase DOC and ARGs removal. The maximum removal of DOC and ARGs was 63.2% and 1.35-log–3.35-log, respectively. At the same time, the ARGs are positively correlated with DOC, intI1 and 16S rDNA, indicating that reducing their concentration would contribute to the reduction of ARGs. We also found that the optimal PAC dose could effectively increase membrane flux, reduce membrane fouling resistance and alleviate membrane fouling. This study demonstrates that the PAC-UF process is a potential deep water purification process and control technology for reducing ARGs risk.
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DOI：
10.1201/b12555-11
发表时间：
1989-10
期刊：
--
影响因子：
--
作者：
M. A. Shotton
通讯作者：
M. A. Shotton
影响因子：
5
作者：
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通讯作者：
Cheng, Shu-Pei
DOI：
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发表时间：
2013-10
期刊：
Ying yong sheng tai xue bao = The journal of applied ecology
影响因子：
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作者：
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通讯作者：
Fenghua Yang;Daqing Mao;Yi Luo;Qing Wang;Quangui Mu
影响因子：
3.4
作者：
I. Lawal;B. Moodley
通讯作者：
I. Lawal;B. Moodley
DOI：
10.1177/0300060516686230
发表时间：
2017-12
期刊：
The Journal of international medical research
影响因子：
--
作者：
Cui D;Liu X;Hawkey P;Li H;Wang Q;Mao Z;Sun J
通讯作者：
Sun J