Coating material is the core of solid phase microextraction (SPME) technique. Metal organic frameworks (MOFs) and nanoporous carbon materials have good application vista in SPME due to their high surface area and adjustable structure, but the relationship between the extraction performance and material structure is not clear. In this project, MOFs and nanoporous carbon materials with different pore sizes and functional groups will be synthesized and utilized to prepare new types of SPME fibers through in-situ growth, direct-coating and sol-gel methods. The relationship between the extraction performance and the pore size, functional group of the material will be found out by theoretical calculation and extraction experiments, and high sensitivity, high selectivity analysis methods will be developed for the determination of organic pollutants in water and living animals & plants with the prepared high-performance SPME fibers. The study is of benefit to clearly know the relationship between the material micro-structure and its extraction performance, is helpful to the development of SPME technique and new environmental analysis method, which is significantly important for the future application of new mesoporous nanomaterials in SPME and the preparation of high-performance SPME fibers, in both theoretically and practically.
萃取涂层材料是固相微萃取(SPME)技术的核心。有机金属框架(MOFs)和纳米孔碳材料因其比表面大、结构可调,在SPME方面具有非常好的应用前景,但目前对这些材料萃取性能与结构之间的关系尚不明晰。本项目拟合成不同孔径与官能团的MOFs和纳米孔碳材料,并采用原位生长、直接涂覆、溶胶凝胶等方法制备新型SPME探针,进而通过理论计算和萃取实验探明材料的萃取性能与其孔径、所带官能团之间的关系,并最终利用所制备的高性能新型SPME探针建立水体及动植物活体中有机污染物的高灵敏度、高选择性检测方法。本项目研究有利于探明MOFs和纳米孔碳材料微观结构与萃取性能之间的关系,也有利于SPME技术的发展以及环境分析新技术的开发,对于未来新型纳米介孔材料在SPME的应用、高性能SPME探针的研制具有重要的理论价值和实际意义。
制备出系列比表面积高、孔径结构可控、官能团各异的多孔功能材料,通过原位生长/聚合、溶胶凝胶和直接涂覆等方法,成功将多孔功能材料制备成形貌均匀、使用寿命长、富集性强的新型固相微萃取涂层,实现环境样品和生物样品中多种目标分析物的快速、高灵敏检测。同时,基于固相微萃取技术,初步研究了多孔功能材料的富集性能与微观结构之间的关系。在项目执行期间,项目主持人在Angew. Chem. Int. Ed.、Chem. Sci.、Adv. Funct. Mater.、Adv. Sci.、Environ. Sci. Technol.、Anal. Chem.等国际主流期刊上共计发表论文65篇,主编英文专著1部,获得国家专利授权2项,培养博士后1名,及博士、硕士研究生18名。
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数据更新时间:2023-05-31
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