Advanced hydrogen sensing platform based on functionalized metal-organic frameworks

开发具有上级性能的高效传感器材料，用于选择性、快速和灵敏地检测氢气，对于环境保护和人类健康至关重要。金属有机骨架（MOFs）是由金属节点（金属离子或金属簇）和功能性有机配体构成的结晶多孔固体材料，由于其大的表面积、可调的孔径、可调的功能位点以及诸如导电性、磁性、铁电性、发光性和变色性等有趣的性质而在气敏领域受到关注。然而，选择性，灵敏度和稳定性仍然是用于氢气检测的MOFs基传感器的主要挑战。因此，本项目旨在制备新型多功能MOFs，提高氢检测的灵敏度和稳定性。这些稳健的多功能MOFs的合理设计将在整合具有不同性质的金属节点，功能配体和客体分子以实现多个循环中氢的选择性传感后，由计算预测指导。计算建模将与诺丁汉的计算材料组合作提供。

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.