基于双模式分子识别的微孔金属-有机骨架材料结构设计、合成及性质研究

项目名称： 基于双模式分子识别的微孔金属-有机骨架材料结构设计、合成及性质研究

项目编号： No.21471035

项目类型： 面上项目

立项/批准年度： 2015

项目学科： 数理科学和化学

项目作者： 周亚明

作者单位： 复旦大学

项目金额： 80万元

中文摘要： 具有分子识别功能的多孔材料在吸附分离、多相催化、仿生传感等众多领域有着广泛的应用前景。基于多孔金属-有机自组装材料的结构特点，本项目提出设计、合成具有尺寸和荧光双模式分子识别功能的新型多孔金属-有机自组装材料，并研究其结构调控与识别性能之间的关系。在前期已有工作基础上，采用配体预功能化和固体溶液思想，以有机柔性官能团作为分子尺度的门，合成门开关可调的多孔自组装材料，基于单晶数据，研究构-效关系，揭示主体结构的尺寸识别和荧光识别的机制；采用晶体外延生长法，合成核-壳结构的功能材料，研究壳层功能调控的途径及其构效关系，揭示壳层结构与双模式分子识别性能之间的关系。 本项目的完成能够为分子识别功能导向的多孔自组装材料的设计合成提供重要实验依据和有价值的基础研究数据。

中文关键词： 多孔材料；自组装；分子识别；晶体结构

英文摘要： Molecular recognition has received considerable interest due to their widely application in adsorption and separation, heterogeneous catalysis, biomimetic sensing and so on. Owing to the unique structural properties of metal-organic hybrid materials, we hereby propose to design and synthesis of novel porous metal-organic hybrid materials for dual-model molecular recognition, in which the porous materials combine the ability of both size recognition and fluorescent sensing for guest molecule. Furthermore, the relationship between the structural adjustment and the dual-model recognition will also be explored. Based on our previous research results, novel porous materials with gate-opening property will be synthesized and the ratio of gates in the pore will be tuned by the way of solid-state solution process. Based on these results, the relationship between the gate inside the pore and the dual-model recognition will be extensively investigated. Furthermore, novel porous materials with core-shell structures will also be synthesized and the relationship between the functionalized shell structures and the dual-model recognition will also be carefully investigated. The results of this proposal will profit for the comprehension of the characteristics of porous metal-organic hybrid materials and will also provide valuable theoretic and basic results for further structural design and synthesis of novel structures for molecular recognition.

英文关键词： porous materials;self-assembly;molecular recognition;crystal structure