污水中有机污染物的高通量筛查技术及其对微生物群落代谢功能的作用机制研究

环境中污染物种类繁多，新型污染物层出不穷，对人类健康构成巨大的威胁，而现有标准往往没有考虑到这些污染物，因此从复杂的环境介质中识别出这些污染物是当前亟待解决的问题。本研究将在前期工作的基础上，开发污水中靶向和非靶向的高通量筛查技术，优化前处理技术、仪器分析条件、数据采集方式以及谱图解析技术。选取不同类型、不同工艺的污水处理厂进行研究示范，结合靶向和非靶向分析技术，研究不同污水处理厂中有机污染物的污染特征及其降解规律的差异性，并对污染源进行源解析。同时利用代谢组学的方法，研究不同工艺中微生物群落的代谢组变化规律；分析不同前置工艺类型形成的中间体、代谢产物，及其对微生物群落代谢功能的作用机制，评估污水厂处理效能的差异性，从而为污水厂的工艺改善和组合提供新的技术支持，实现污水的毒性削减。

There are more and more emerging pollutants in environment which cause great threat to human health, however, they are not considered in the existing standards. In that case, how to identify these new pollutants from complex environmental media is the hot topic in environmental research. Based on the previous study, this project will develop a high throughput screening method for targeted and non targeted pollutants. We will optimize the preparation technology, instrumental analysis conditions, data acquisition methods and spectral analysis techniques. Based on the high throughput screening method, we will analyze the characteristics of the pollutants and their degradation process and pattern. Source apportionment will also be conducted in this research. The metabolomics method will be developed to analyze the different processes of microbial communities’ metabolic changes. The intermediates and metabolites of pollutants will be determined to study the mechanism of metabolic function of microbial community. The project will provide a new method for assessing the treatment efficiency.