Under what circumstances can chemical oxidation processes effectively degrade antibiotics resistance genes? Evidence from meta-analysis
文献类型： 外文期刊
作者： Ren, Zhuo 1 ; Yang, Bei 2 ; Petropoulos, Evangelos 3 ; Liu, Hao 5 ; Hou, Pengfu 2 ; He, Shiying 2 ; Ma, Xijun 1 ; Zhang, Jing 1 ; Xue, Lihong 2 ; Yang, Linzhang 2 ;
作者机构： 1.Huaiyin Inst Technol, Sch Chem Engn, Key Lab Palygorskite Sci & Appl Technol Jiangsu Pr, Huaian 223003, Peoples R China
2.Jiangsu Acad Agr Sci, Inst Agr Resources & Environm, Key Lab Agr Environm Lower Yangtze River Plain, Nanjing 210014, Peoples R China
3.Newcastle Univ, Sch Engn, Newcastle Upon Tyne NE1 7RU, England
4.Stantec Ltd, Newcastle Upon Tyne NE1 3DY, England
5.Minist Water Resources, Nanjing Hydraul Res Inst, Key Lab Taihu Basin Water Resources Management, Nanjing 210029, Peoples R China
关键词： Chemical oxidation processes; Degradation; Antibiotics resistance genes; Meta -analysis
期刊名称：JOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING （ 影响因子：7.4； 五年影响因子：7.3 ）
ISSN： 2213-2929
年卷期： 2024 年 12 卷 5 期
页码：
收录情况： SCI
摘要： Antibiotics resistance genes (ARGs) is a global concern impairing public health and environmental quality. Chemical oxidation processes (COPs) can generate free radicals, to oxo-degrade DNA and limit ARGs spread. After a rigorous collation of literature related to COPs degrading ARGs, a meta-analysis was performed to evaluate five conventional COPs (photocatalysis, fenton-like oxidation, persulfate oxidation, ozone oxidation, and chlorination) in removing ARGs in aqueous environments. A random effects model was used to estimate the 95 % confidence intervals (95 % CI) and the amount of heterogeneity (R2) which signifies the influential capacity of specific factors. The results confirmed that COPs significantly diminish ARGs (95 % CI:-3.61, -3.17) with the subgroup analysis indicating that based heterogeneity (6.14 %) the type of COPs is crucial on ARGs removal performance. Specifically, Fenton delivers the highest oxidation effect (95 % CI: -6.06, -4.85). The type and location (intracellular, extracellular, or total) of such genes also influence removal efficiency (R2 of 7.45 % and 0.91 % respectively). Other factors, pH, COD content, temperature, oxidizer dosage, and reaction time were also found somewhat influential based on R2 (10.31 %, 3.36 %, 2.08 %, 0.70 %, and 0.26 % respectively). Overall, this meta-analysis summarizes on a quantitative manner the influential factors affecting ARGs pollution control via COPs in aqueous environments.
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