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污水中抗生素的追踪:浓度、测量技术及数学方法

Tracing antibiotics in sewers: Concentrations, measurement techniques, and mathematical approaches.

作者信息

Montes Carlos, Guerrero Sofia, Moreno Maria, Henao Laura

机构信息

Department of Infrastructure and Sustainability, Universidad de La Sabana, Chía 250001, Colombia E-mail:

Department of Infrastructure and Sustainability, Universidad de La Sabana, Chía 250001, Colombia.

出版信息

Water Sci Technol. 2025 May;91(9):993-1009. doi: 10.2166/wst.2025.053. Epub 2025 Apr 15.

DOI:10.2166/wst.2025.053
PMID:40372174
Abstract

Antibiotic contamination in sewer networks has significant environmental and health concerns worldwide, primarily due to its role in promoting bacterial resistance. In this literature review, antibiotic concentrations reported in urban sewers and hospital effluents, techniques for antimicrobial compound detection and quantification, and current modeling strategies are analyzed and discussed based on 91 papers published between 2014 and 2024. One-hundred and nine antibiotic compounds were reported across 80 studies, with sulfonamides, fluoroquinolones, and macrolides being the most frequently detected classes, while amphenicols and aminocyclitols were the least monitored. Advanced analytical techniques such as liquid chromatography and mass spectrometry are the most common approaches used for antibiotic quantification. Modeling efforts remain limited, with kinetic models, Risk Quotient (RQ) assessments, and Wastewater-Based Epidemiology (WBE) representing the main approaches identified. This review compiles 992 reports into a comprehensive dataset intended to support future research, especially for global monitoring, the development of predictive models, and the formulation of regulatory frameworks for managing antibiotic pollution in sewer systems.

摘要

污水管网中的抗生素污染在全球范围内引发了重大的环境和健康问题,主要是因为其在促进细菌耐药性方面所起的作用。在这篇文献综述中,基于2014年至2024年间发表的91篇论文,对城市污水和医院废水中报告的抗生素浓度、抗菌化合物的检测和定量技术以及当前的建模策略进行了分析和讨论。80项研究报告了109种抗生素化合物,其中磺胺类、氟喹诺酮类和大环内酯类是最常检测到的类别,而氯霉素类和氨基环醇类的监测最少。液相色谱和质谱等先进分析技术是用于抗生素定量的最常用方法。建模工作仍然有限,动力学模型、风险商数(RQ)评估和基于废水的流行病学(WBE)是主要的识别方法。本综述将992份报告汇编成一个综合数据集,旨在支持未来的研究,特别是全球监测、预测模型的开发以及下水道系统抗生素污染管理监管框架的制定。

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本文引用的文献

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J Hazard Mater. 2025 Feb 5;483:136681. doi: 10.1016/j.jhazmat.2024.136681. Epub 2024 Nov 26.
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The Impact of Combined Sewer Overflows on Pharmaceutical and Illicit Drug Levels in New York/New Jersey Waterways.合流污水溢流对纽约/新泽口水道中药物和非法药物水平的影响。
Environ Toxicol Chem. 2024 Jul;43(7):1592-1603. doi: 10.1002/etc.5891. Epub 2024 May 29.
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Review of trace organic chemicals in urban stormwater: Concentrations, distributions, risks, and drivers.
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Water Res. 2024 Jul 1;258:121782. doi: 10.1016/j.watres.2024.121782. Epub 2024 May 16.
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In silico modelling of ciprofloxacin specific aptamer for the development of high-performance biosensor.基于环丙沙星特异性适体的计算机模拟在高性能生物传感器开发中的应用。
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Low-cost monitoring systems for urban water management: Lessons from the field.用于城市水资源管理的低成本监测系统:实地经验教训。
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