Steroid estrogens (SE) are a kind of environmental endocrine disruptors with steroid ring structure. They are widely found in environmental water, and pose serious threats on human health and ecological system. At present, it is very difficult by using routine approach to meet the requirements for fast, on-site and sensitive detection of multiple steroid estrogens. In the project, we will select the four most harmful steroid estrogens in environmental water as analytes, and exploit the cross-reactive property between several different nucleic acid aptamers, antibodies or molecularly imprinted polymers and different steroid estrogens to systematically carry out the investigations of the new fluorescence method based on dynamic combinatorial library for the detection of multiple steroid estrogens. In addition, we will explore the effectiveness of the new method for fast on-site detection of multiple steroid estrogens in environmental water. The study includes five parts: 1) the collection, preparation and characterization of different fluorescently labeled recognition materials; 2) the investigations on the interactions between recognition materials and steroid estrogens; 3) the establishment of florescence sensing strategy based on dynamic combinatorial library and different recognition materials, and the design and functionalization of other materials in the sensing strategy; 4) the establishment of new fluorescence analysis method coupled with chemometrics for the detection of multiple steroid estrogens; 5) the evaluation on the effectiveness of the new method for fast on-site detection of multiple steroid estrogens in environmental water. The implementation of the project will advance the development of new methods for fast on-site fluorescence sensing, and promote the deep crossing and integration in the field of sensing analysis, environmental analysis, and chemometrics.
类固醇雌激素(SE)是一类以类固醇环为基本核的环境内分泌干扰物,广泛存在于环境水体中,对人类健康和生态系统构成严重威胁。目前常规方法均难以满足环境水体中多种SE现场快速灵敏检测的需求。本项目拟以环境水体中危害最大的四种SE为研究对象,利用多个不同核酸适配体、抗体或分子印迹聚合物识别材料对多种SE的交叉反应性质,系统开展多种SE动态组合库高灵敏荧光传感新方法的研究,并探索该方法在环境水体现场快速分析中的有效性。研究内容包括:1)不同荧光标记识别材料的获取或制备及表征;2)识别材料与SE之间的相互作用研究;3)不同识别材料的动态组合库荧光传感策略的建立及传感策略中其它材料的设计和功能化;4)结合化学计量学建立多种SE检测的荧光分析新方法;5)新方法在环境水体现场快速分析中的有效性评价。本项目的实施不仅推进现场快速荧光传感新方法的发展,而且还将促进传感分析、环境分析和化学计量学的深度交叉和融合。
经过四年的努力,按照研究计划,本项目利用光电技术构建传感器实现了环境水体等样品的快速分析,为传感器在现场分析中的应用奠定了坚实的基础。在Analytical Chemistry、Chemical Communications、Sensors and Actuators B: Chemical、Journal of Alloys and Compounds等刊物上以第一作者或通讯作者发表SCI论文17篇,且发表的论文大量被他引,助推本人入选美国斯坦福大学与Elsevier联合发布的2021年度和2022年度“全球前2%顶尖科学家榜单”;撰写科学专著一章;授权国家发明专利2项;参加学术交流多次;培养已毕业硕士7名。
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数据更新时间:2023-05-31
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