Isoreticular Azobenzene Functionalization of Ultrastable Lead Chloride Hybrids for Enhanced Photocatalytic Aerobic Oxidation
Source abstract
Abstract
Lead halide hybrids have emerged as highly efficient photocatalysts, yet their application in photocatalytic organic synthesis remains limited, largely due to their instability upon polar organics. Herein, we have developed an isoreticular synthetic strategy to functionalize lead chloride-based MOFs with azonbenzene units, a benchmark photoresponsive moiety. The three MOFs consist of isostructural 1D [PbCl] + chains as SBUs and biphenyl/azobenzene dicarboxylates as struts. Compared with the parent biphenyl-MOF, the azobenzene-functionalized MOFs demonstrate broad wavelength coverage up to 620 nm. Their efficient photoinduced ligand-to-metal charge transfer affords enhanced electron–hole separation for long-lived free carriers. Among them, the 4,4′-azobenzene-functionalized MOF exhibits the most efficient photocatalytic aerobic oxidation in both C( sp 3 )-H photooxidation and benzylamine coupling. Meanwhile, these coordination assembled MOFs exhibit high stability in a wide pH range and polar organic compounds. This work showcases a rational strategy to modify lead halide hybrids at the molecular level while preserving the lattice topology.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Perovskite Materials and Applications · Advanced Photocatalysis Techniques
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Shanghai Key Laboratory of Chemical Assessment and Sustainability, School of Chemical Science and Engineering, Tongji University, 1239 Siping Road, Shanghai 200092, P. R. China
Funding
Natural Science Foundation of Shanghai Municipality · Science and Technology Commission of Shanghai Municipality · Fundamental Research Funds for the Central Universities · National Natural Science Foundation of China · Recruitment Program of Global Experts · Xiaomi YoungTalents Program
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