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人工湿地去除药物:性能、风险降低的批判性评价和荟萃分析,以及物理化学性质对去除机制的作用。

Pharmaceuticals' removal by constructed wetlands: a critical evaluation and meta-analysis on performance, risk reduction, and role of physicochemical properties on removal mechanisms.

机构信息

Université de Paris, Institut de physique du globe de Paris, CNRS, F-75005 Paris, France E-mail:

IHE Delft, Institute for Water Education, 2611 AX Delft, The Netherlands; Water Treatment and Management Consultancy, B.V., 2289 ED Rijswijk, The Netherlands.

出版信息

J Water Health. 2020 Jun;18(3):253-291. doi: 10.2166/wh.2020.213.

Abstract

This paper presents a comprehensive and critical analysis of the removal of pharmaceuticals (PhCs), the governing physicochemical properties, and removal mechanisms in constructed wetlands (CWs). The average removal efficiency of the most widely studied 34 PhCs ranges from 21% to 93%, with the exception of one PhC that exhibited negative removal. Moreover, CWs are effective in significantly reducing the environmental risk caused by many PhCs. Based on risk assessment, 12 PhCs were classified under high risk category (oxytetracycline > ofloxacin > sulfamethoxazole > erythromycin > sulfadiazine > gemfibrozil > ibuprofen > acetaminophen > salicylic acid > sulfamethazine > naproxen > clarithromycin), which could be considered for regular monitoring, water quality standard formulation and control purposes. Biodegradation (aerobic and anaerobic) is responsible for the removal of the majority of PhCs, often in conjunction with other mechanisms (e.g., adsorption/sorption, plant uptake, and photodegradation). The physicochemical properties of molecules play a pivotal role in the elimination processes, and could serve as important predictors of removal. The correlation and multiple linear regression analysis suggest that organic carbon sorption coefficient (Log Koc), octanol-water distribution coefficient (Log Dow), and molecular weight form a good predictive linear regression model for the removal efficiency of PhCs (R = 0.65, P-value <0.05).

摘要

本文对去除药品(PhCs)、控制物理化学性质和去除机制进行了全面和批判性分析。在已研究的 34 种药品中,有 12 种(土霉素>氟沙星>磺胺甲恶唑>红霉素>磺胺嘧啶>吉非贝齐>布洛芬>对乙酰氨基酚>水杨酸>磺胺甲噁唑>萘普生>克拉霉素)被归类为高风险类别,这些药品可以考虑进行常规监测、水质标准制定和控制。 (对氧四环素>氟沙星>磺胺甲恶唑>红霉素>磺胺嘧啶>吉非贝齐>布洛芬>对乙酰氨基酚>水杨酸>磺胺甲噁唑>萘普生>克拉霉素),这些药品可以考虑进行常规监测、水质标准制定和控制。生物降解(好氧和厌氧)是去除大多数药品的主要机制,通常与其他机制(如吸附/吸收、植物吸收和光降解)结合使用。分子的物理化学性质在消除过程中起着关键作用,并且可以作为去除效率的重要预测因子。相关性和多元线性回归分析表明,有机碳吸附系数(Log Koc)、辛醇-水分配系数(Log Dow)和分子量形成了一个很好的预测线性回归模型,用于预测 PhCs 的去除效率(R = 0.65,P 值<0.05)。

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