Source preventing mechanism of florfenicol resistance risk in water by VUV/UV/sulfite advanced reduction pretreatment

IF 11.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL
Shuangjing Dong , Yangcheng Ding , Huajun Feng , Jixiao Xu , Jinglong Han , Wenli Jiang , Yijing Xia , Aijie Wang
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引用次数: 1

Abstract

To avoid the inhibition of microbial activity and the emergence of bacterial resistance, effective abiotic pretreatment methods to eliminate the antibacterial activity of target antibiotics before the biotreatment system for antibiotic-containing wastewater are necessary. In this study, the VUV/UV/sulfite system was developed as a pretreatment technique for the source elimination of florfenicol (FLO) resistance risk. Compared with the VUV/UV/persulfate and sole VUV photolysis, the VUV/UV/sulfite system had the highest decomposition rate (0.33 min‒1) and the highest defluorination (83.0%), resulting in the efficient elimination of FLO antibacterial activity with less than 2.0% mineralization, which would effectively retain the carbon sources for the sludge microorganisms in the subsequent biotreatment process. Furthermore, H• was confirmed to play a more important role in the elimination of FLO antibacterial activity by controlling the environmental conditions for the formation and transformation of reactive species and adding their scavengers. Based on the theoretical calculation and proposed photolytic intermediates, the elimination of FLO antibacterial activity was achieved by dechlorination, defluorination and removal of sulfomethyl groups. When the pretreated FLO-containing wastewater entered the biological treatment unit, the abundance of associated antibiotic resistance genes (ARGs) and the relative abundance of integrons were efficiently prevented by approximately 55.4% and 22.9%, respectively. These results demonstrated that the VUV/UV/sulfite system could be adopted as a promising pretreatment option for the source elimination of FLO resistance risk by target decomposition of its responsible structures before the subsequent biotreatment process.

VUV/UV/亚硫酸盐深度还原预处理水中氟苯尼考耐药风险的源头预防机制
为避免对微生物活性的抑制和细菌耐药性的产生,在含抗生素废水的生物处理系统之前,有必要采用有效的非生物预处理方法来消除目标抗生素的抗菌活性。在本研究中,VUV/UV/亚硫酸盐体系被开发为一种消除氟苯尼考(FLO)耐药风险的预处理技术。与VUV/UV/过硫酸盐和单一VUV光解相比,VUV/UV/亚硫酸盐体系具有最高的分解率(0.33 min-1)和最高的除氟率(83.0%),在矿化率低于2.0%的情况下,有效地消除了FLO抗菌活性,有效地保留了后续生物处理过程中污泥微生物的碳源。此外,通过控制活性物质形成和转化的环境条件以及添加它们的清除剂,证实H•在消除FLO抗菌活性方面发挥更重要的作用。根据理论计算和提出的光解中间体,通过脱氯、脱氟和去除硫甲基来消除FLO的抗菌活性。当预处理后的含flo废水进入生物处理单元时,相关抗生素耐药基因(ARGs)丰度和整合子的相对丰度分别被有效阻止了约55.4%和22.9%。这些结果表明,VUV/UV/亚硫酸盐体系可以作为一种有前途的预处理选择,通过在后续生物处理过程之前对其负责结构进行目标分解来消除FLO抗性风险。
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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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