Harnessing Photoinduced Azobenzene Switching for Rational Design of Smart Nanoporous Metal−Organic Frameworks

Abstract

Abstract Azobenzene-functionalized metal−organic frameworks (Azo-MOFs) have emerged as versatile nanoporous platforms for constructing light-responsive materials with tunable physicochemical properties. This review critically examines their molecular design, synthesis, photo-switching mechanisms, characterization, and functional applications, with particular emphasis on the structure−photo-response-property−performance relationships governing their behavior. The principal azobenzene incorporation modes, including backbone linkers, pendant groups, and noncovalently encapsulated guests, are compared in terms of molecular mobility, pore confinement, framework coupling, and switching efficiency, while thin-film fabrication is discussed separately as a processing and device integration strategy. Experimental characterization and computational approaches are evaluated according to their ability to distinguish genuine photoisomerization from photothermal, desorption, degradation, and irreversible structural effects. Available evidence indicates that efficient functional switching requires a balance between sufficient conformational freedom for azobenzene isomerization and sufficient framework rigidity to preserve structural integrity and amplify molecular changes into macroscopic responses. Representative applications in adsorption, separation, catalysis, controlled release, energy storage, and optical information processing are critically assessed, with attention paid to whether the reported performance changes can be directly attributed to photoisomerization. Persistent challenges include incomplete photostationary-state conversion, limited photon penetration, thermal relaxation, fatigue, framework degradation, biosafety, and scalable production. Finally, standardized reporting of irradiation conditions, photostationary-state composition, switching kinetics, quantum yield, thermal lifetime, cycling retention, and functional modulation is proposed to enable quantitative benchmarking and guide the rational development of next-generation Azo-MOFs.