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生物污水处理系统中抗生素的去除——应用活性污泥模型框架(ASM-X)对外来化合物的批判性评估。

Removal of Antibiotics in Biological Wastewater Treatment Systems-A Critical Assessment Using the Activated Sludge Modeling Framework for Xenobiotics (ASM-X).

机构信息

Department of Environmental Engineering, Technical University of Denmark (DTU) , Bygningstorvet 115, 2800 Kongens Lyngby, Denmark.

出版信息

Environ Sci Technol. 2016 Oct 4;50(19):10316-10334. doi: 10.1021/acs.est.6b01899. Epub 2016 Sep 13.

Abstract

Many scientific studies present removal efficiencies for pharmaceuticals in laboratory-, pilot-, and full-scale wastewater treatment plants, based on observations that may be impacted by theoretical and methodological approaches used. In this Critical Review, we evaluated factors influencing observed removal efficiencies of three antibiotics (sulfamethoxazole, ciprofloxacin, tetracycline) in pilot- and full-scale biological treatment systems. Factors assessed include (i) retransformation to parent pharmaceuticals from e.g., conjugated metabolites and analogues, (ii) solid retention time (SRT), (iii) fractions sorbed onto solids, and (iv) dynamics in influent and effluent loading. A recently developed methodology was used, relying on the comparison of removal efficiency predictions (obtained with the Activated Sludge Model for Xenobiotics (ASM-X)) with representative measured data from literature. By applying this methodology, we demonstrated that (a) the elimination of sulfamethoxazole may be significantly underestimated when not considering retransformation from conjugated metabolites, depending on the type (urban or hospital) and size of upstream catchments; (b) operation at extended SRT may enhance antibiotic removal, as shown for sulfamethoxazole; (c) not accounting for fractions sorbed in influent and effluent solids may cause slight underestimation of ciprofloxacin removal efficiency. Using tetracycline as example substance, we ultimately evaluated implications of effluent dynamics and retransformation on environmental exposure and risk prediction.

摘要

许多科学研究提出了在实验室、中试和全规模污水处理厂中去除药物的效率,这些研究基于可能受到所使用的理论和方法方法影响的观察结果。在这篇评论中,我们评估了影响三种抗生素(磺胺甲恶唑、环丙沙星、四环素)在中试和全规模生物处理系统中的观察去除效率的因素。评估的因素包括:(i)从例如共轭代谢物和类似物重新转化为母体药物,(ii)固体停留时间(SRT),(iii)吸附在固体上的分数,以及(iv)进水和出水负荷的动态。使用了一种新开发的方法,该方法依赖于用外来生物活性污泥模型(ASM-X)预测的去除效率与文献中代表性的实测数据进行比较。通过应用这种方法,我们证明了:(a)如果不考虑从共轭代谢物的再转化,磺胺甲恶唑的消除可能会被严重低估,这取决于上游集水区的类型(城市或医院)和规模;(b)延长 SRT 的运行可能会增强抗生素的去除效果,如磺胺甲恶唑所示;(c)如果不考虑进水和出水固体中吸附的分数,可能会导致环丙沙星去除效率的轻微低估。最后,我们以四环素为例,评估了流出物动力学和再转化对环境暴露和风险预测的影响。

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