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首页> 外文期刊>Journal of Hazardous Materials >Screening and prioritization of micropollutants in wastewaters from on-site sewage treatment facilities
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Screening and prioritization of micropollutants in wastewaters from on-site sewage treatment facilities

机译：现场污水处理设施废水中微量污染物的筛选和优先级

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A comprehensive screening of micropollutants was performed in wastewaters from on-site sewage treatment facilities (OSSFs) and urban wastewater treatment plants (WWTPS) in Sweden. A suspect screening approach, using high resolution mass spectrometry, was developed and used in combination with target analysis. With this strategy, a total number of 79 micropollutants were successfully identified, which belong to the groups of per-and polyfluoroallcyl substances (PFASs), pesticides, phosphorus-containing flame retardants (PFRs) and pharmaceuticals and personal care products (PPCPs). Results from this screening indicate that concentrations of micropollutants are similar in influents and effhients of OSSFs and WWTPs, respectively. Removal efficiencies of micropollutants were assessed in the OSSFs and compared with those observed in WWTPs. In general, removal of PFASs and PFRs was higher in package treatment OSSFs, which are based on biological treatments, while removal of PPCPs was more efficient in soil bed OSSFs. A novel comprehensive prioritization strategy was then developed to identify OSSF specific chemicals of environmental relevance. The strategy was based On the compound concentrations in the wastewater, removal efficiency, frequency of detection in OSSFs and on in silico based data for toxicity, persistency and bioaccumulation potential. (C) 2016 Elsevier B.V. All rights reserved.
机译：对瑞典现场污水处理设施（OSSF）和城市污水处理厂（WWTPS）的废水中的微量污染物进行了全面筛选。开发了使用高分辨率质谱的可疑筛查方法，并将其与目标分析结合使用。通过这种策略，成功鉴定出总共79种微污染物，分别属于过氟和多氟烷基物质（PFAS），农药，含磷阻燃剂（PFR）以及药品和个人护理产品（PPCP）。筛选结果表明，OSSF和WWTP的进水和出水中的微污染物浓度相似。在OSSF中评估了微污染物的去除效率，并将其与污水处理厂中观察到的效率进行了比较。通常，在基于生物处理的包装处理OSSF中，PFAS和PFR的去除较高，而在土壤床OSSF中，PPCP的去除效率更高。然后，开发了一种新颖的综合优先策略，以识别与环境相关的OSSF特定化学品。该策略基于废水中化合物的浓度，去除效率，OSSF中的检测频率以及基于计算机的毒性，持久性和生物蓄积潜力的数据。 （C）2016 Elsevier B.V.保留所有权利。

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