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通过多色谱平台分析和来源相关性,绘制废水废水中的新兴污染物的地图

Selina Tisler¹, Kristoffer Kilpinen^1,2, Jason Devers¹

¹Analytical Chemistry Group, Department of Plant and Environmental Science, University of Copenhagen, Thorvaldsensvej 40, 1871 Frederiksberg C, Denmark.

Environmental science & technology

|March 12, 2025

概括

降雨大大改变了废水中的新兴关注污染物 (CEC),影响了清除效率. 相关性分析显示, CEC来自流水和盆地,指导了更好的废水处理策略.

科学领域:

环境化学环境化学
分析化学分析化学
水的质量水的质量

背景情况:

废水排放中的污染物含有带有环境风险的新兴关注的污染物 (CEC).
目前的监测往往忽视了湿天气排放及其对CEC配置文件的影响.
了解雨水事件期间的 CEC 行为对于有效的废水管理至关重要.

研究的目的:

在各种条件下调查废水废水中的CECs的相关性.
通过降雨引入的CEC及其来源的识别.
评估降雨事件对废水处理厂 (WWTP) 中的 CEC 清除效率的影响.

主要方法:

使用液体染色学 (LC),超临界流体染色学 (SFC) 和GC×GC与高分辨率质谱学 (HRMS) 相结合.
确定了300多种化合物,包括极性和非药物CEC.
使用相关性分析来了解降雨对废水组成的影响.

主要成果:

降雨大大改变了废水废水的成分,从流水和保留盆地引入了CEC.
降雨事件降低了易于降解的CEC的清除效率,WWTP之间存在差异.
像PFAS这样的持久化合物显示出强烈的集团内相关性,表明了共同的来源.

结论:

相关性分析是了解废水中复杂的CEC配置文件的一个有价值的工具.
降雨引入了独特的CEC模式,需要适应性处理策略.
研究结果支持基于特定挑战,包括湿天气影响,优化WWTP治疗.

关键词:

GC × GC 的时间.在PFAS中,我们可以使用PFAS.在SFC中,我们可以使用SFC.家庭家庭家庭家庭.极地地区的 CEC.雨雨雨雨雨雨检查嫌疑人选调查嫌疑人

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