抗生素抗性基因在饮用水处理系统的分布特征、形成机制与控制方法

项目名称： 抗生素抗性基因在饮用水处理系统的分布特征、形成机制与控制方法

项目编号： No.51278353

项目类型： 面上项目

立项/批准年度： 2013

项目学科： 建筑科学

项目作者： 尹大强

作者单位： 同济大学

项目金额： 87万元

中文摘要： 抗生素抗性基因（ARGs）是一种新型的环境污染物，对人类健康具有重大的潜在威胁，已成为饮用水一个新的生物安全问题。本研究拟选择我国典型地区不同城市饮用水处理工艺，现场调查结合实验室试验，调查和分析ARGs与抗生素浓度在水源和饮用水处理系统中的分布，筛选出特征ARGs，阐明ARGs分布与抗生素残留的关系；采用宏基因组学和DNA微阵列技术，研究ARGs与生物预处理、生物活性炭处理中微生物优势种群及其活性的关系，考察处理工艺及关键技术参数的影响，深入了解ARGs在饮用水处理系统中生成与传播扩散机制；采用实验室模拟试验，研究抗生素负荷、水力条件、吸附剂和消毒剂等关键技术参数对ARGs控制的影响，提出ARGs控制方法和工艺参数。本研究旨在揭示我国典型地区和饮用水处理工艺中ARGs生物安全性，诠释ARGs的生成机制，提出ARGs控制方法，为饮用水安全保障提供理论和技术支持。

中文关键词： 抗生素抗性基因；饮用水处理系统；分布特征；形成机制；控制方法

英文摘要： Antibiotic resistance genes (ARGs) are one kind of emerging environmental pollutants, which are becoming one potential threat to both biosecurity in drinking waters and human health. The current program includes following contents: (1) Based on choice of typical drinking water treatment procedures in different cities, the distributions of characteristic ARGs in sources of drinking water and within the treatment systems will be investigated with quantitative real-time polymerase chain reaction (qRT-PCR) analysis. Meanwhile, high performance liquid chromatography - tandem mass spectrometry (HPLC-MS/MS) will be carried out to determine the residues of antibiotics, so as to discover the connection between ARGs and the residues. (2) The correlations of ARGs to the dominant microorganism population and their activities in biological pretreatment and biological activated carbon treatment in drinking water systems will be investigated based on the metagenomics and DNA microarray technology. Based on the consideration on the influences of different treatments and related parameters, the mechanisms of ARGs formation and their transmission will be revealed. (3) Through simulation experiments in laboratory scale, key technical parameters, including antibiotic burdens, hydrodynamic conditions, adsorption materials and disinf

英文关键词： Antibiotic resistant gene；Drinking-water treatment system；Distribution pattern；Formation mechanism；Control method