Advanced hydrogen sensing platform based on functionalized metal-organic frameworks

开发高性能、高选择性、快速、灵敏的氢气传感器材料，对环境保护和人类健康具有重要意义。金属有机骨架(MOF)是由金属节点(金属离子或簇合物)和功能有机配体构成的晶体和多孔固体材料，具有比表面积大、孔径可调、功能位可调等特点，具有良好的导电性、磁性、铁电性、发光和色性等特性，在气敏领域受到了广泛的关注。然而，选择性、灵敏度和稳定性仍然是MOFS传感器用于氢检测的主要挑战。因此，本项目旨在制备新型多功能金属氧化物光纤，以提高氢检测的灵敏度和稳定性。这些坚固、多功能的MOF的合理设计将以计算预测为指导，将金属节点、功能配体和具有不同性质的客体分子整合在一起，实现在多个循环中对氢的选择性传感。计算建模将与诺丁汉的计算材料小组合作进行。

Developing efficient sensor materials with superior performance for selective, fast, and sensitive detection of hydrogen is essential for environmental protection and human health. Metal-organic frameworks (MOFs), which are crystalline and porous solid materials constructed from metal nodes (metal ions or clusters) and functional organic ligands, have received attention for gas sensing due to their large surface area, adjustable pore size, tunable functional sites and intriguing properties, such as electrical conductivity, magnetism, ferroelectricity, luminescence and chromism. However, selectivity, sensitivity and stability are still the major challenges for MOFs-based sensors used in hydrogen detection. Accordingly, this project aims to fabricate novel multifunctional MOFs with improved sensitivity and stability for hydrogen detection. The rational design of these robust, multifunctional MOFs will be guided by computational predictions in after integrating metal nodes, functional ligands, and guest molecules with different properties to achieve selective sensing of hydrogen over multiple cycles. Computational modelling will be delivered in collaboration with the Computational Materials Group at Nottingham.