Reactive chlorine species drive simultaneous removal of antibiotic resistant bacteria and antibiotic resistance genes by UV-LED/chlorine

IF 12.8 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL
Water Research Pub Date : 2027-01-15 Epub Date: 2026-10-17 DOI:10.1016/j.watres.2026.127165
Shenzhou Li, Liping Wang, Wanting Cheng, Yifei Zhang, Wenlei Qin, Zhechao Hua, Zijun Dong, Rui Ma, Chii Shang, Ran Yin, Jingyun Fang
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Abstract

Antibiotic resistant bacteria (ARB) and antibiotic resistance genes (ARGs) in aquatic environments pose a growing threat to human health. Here we comprehensively evaluated the simultaneous removal of ARB and ARGs by UV-LED/chlorine, using antibiotic resistant E. coli as a model. UV-LED/chlorine achieved a 5.3-log10 reduction of E. coli at a chlorine dosage of 50 μM and a UV fluence of 5 mJ cm-2, substantially outperforming UV-LED irradiation or chlorination alone. While UV-LED left the cell membrane intact, chlorination and UV-LED/chlorine both caused membrane damage, with the latter inducing severe structural collapse and cell destruction driven by oxidative attack from reactive chlorine species (RCS). When both ARB and ARGs were present, the intracellular and extracellular ARGs showed (3.2–4.0)-log10 and (1.8–1.9)-log10 reductions during UV-LED/chlorine treatment, respectively. RCS contributed to over 50% of deoxynucleoside damage during UV-LED/chlorine treatment, with the major products being pyrimidine dimers, hydroxylated and chlorinated products. Furthermore, UV-LED/chlorine treatment completely suppressed ARB reactivation and reduced ARG transformation efficiency, thereby reducing post-disinfection biological risk. This study elucidates that UV-LED/chlorine treatment simultaneously inactivates ARB and removes ARGs, overcoming the limitations of UV-LED irradiation and chlorination alone, and offers a robust strategy for mitigating antibiotic resistance in water treatment.
活性氯驱动同时去除抗生素耐药细菌和抗生素耐药基因的UV-LED/氯
水生环境中的抗生素耐药菌(ARB)和抗生素耐药基因(ARGs)对人类健康的威胁日益严重。本文以耐药大肠杆菌为模型,综合评价了UV-LED/氯同时去除ARB和ARGs的效果。在氯用量为50 μM、紫外辐照强度为5 mJ cm-2的条件下,UV- led /氯对大肠杆菌的抑制效果达到5.3-log10,大大优于单独的UV- led照射或氯化处理。虽然UV-LED使细胞膜完好无损,但氯化和UV-LED/氯都造成膜损伤,后者引起严重的结构崩溃和细胞破坏,由活性氯物质(RCS)的氧化攻击驱动。当ARB和ARGs同时存在时,在UV-LED/氯处理期间,细胞内和细胞外ARGs分别降低(3.2-4.0)-log10和(1.8-1.9)-log10。在UV-LED/氯处理过程中,RCS对脱氧核苷损伤的贡献率超过50%,主要产物是嘧啶二聚体、羟基化产物和氯化产物。此外,UV-LED/氯处理完全抑制ARB再活化,降低ARG转化效率,从而降低消毒后的生物风险。该研究阐明了UV-LED/氯处理同时灭活ARB和去除ARGs,克服了UV-LED照射和单独氯化处理的局限性,为减轻水处理中的抗生素耐药性提供了一种强有力的策略。
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来源期刊
Water Research
Water Research 环境科学-工程:环境
CiteScore
20.80
自引率
9.40%
发文量
1307
审稿时长
38 days
期刊介绍: Water Research, along with its open access companion journal Water Research X, serves as a platform for publishing original research papers covering various aspects of the science and technology related to the anthropogenic water cycle, water quality, and its management worldwide. The audience targeted by the journal comprises biologists, chemical engineers, chemists, civil engineers, environmental engineers, limnologists, and microbiologists. The scope of the journal include: •Treatment processes for water and wastewaters (municipal, agricultural, industrial, and on-site treatment), including resource recovery and residuals management; •Urban hydrology including sewer systems, stormwater management, and green infrastructure; •Drinking water treatment and distribution; •Potable and non-potable water reuse; •Sanitation, public health, and risk assessment; •Anaerobic digestion, solid and hazardous waste management, including source characterization and the effects and control of leachates and gaseous emissions; •Contaminants (chemical, microbial, anthropogenic particles such as nanoparticles or microplastics) and related water quality sensing, monitoring, fate, and assessment; •Anthropogenic impacts on inland, tidal, coastal and urban waters, focusing on surface and ground waters, and point and non-point sources of pollution; •Environmental restoration, linked to surface water, groundwater and groundwater remediation; •Analysis of the interfaces between sediments and water, and between water and atmosphere, focusing specifically on anthropogenic impacts; •Mathematical modelling, systems analysis, machine learning, and beneficial use of big data related to the anthropogenic water cycle; •Socio-economic, policy, and regulations studies.
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