Hongjun Li, Yujie Cai, Qianghui Dong, Lin Zhang, Enlai Hu, Hai Guo, Guodong Qian
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引用次数: 0
Abstract
Scintillators have attracted widespread attention due to their remarkable ability to convert high-energy X-ray photons into ultraviolet/visible light. However, inherent limitations such as compositional rigidity and unpredictable reaction dynamics hinder the precise structural engineering and optimization of luminescent performance. Metal–organic frameworks (MOFs) provide a promising platform to address these challenges due to their highly tunable structure and customizable modularity. Herein, a modular engineering strategy is proposed and develop a programmable assembly platform based on a series of Ln-MOFs with identical topology structures. Through rational energy level engineering, the obtained Ln-MOFs scintillators exhibit intense X-ray excited luminescence, high relative light yield, perfect linear response to X-ray dose rate, and excellent stability. The fabricated MOF-based scintillating membranes demonstrate promising potential in flexible X-ray imaging with high spatial resolution. Some fundamental design principles are elucidated through investigating systematic correlation of scintillating performance with energy levels, luminescent efficiency, and self-absorption effects. This modular engineering strategy yields a structural model for developing advanced inorganic-organic hybrid scintillators with tailored optoelectronic properties.
期刊介绍:
Advanced Optical Materials, part of the esteemed Advanced portfolio, is a unique materials science journal concentrating on all facets of light-matter interactions. For over a decade, it has been the preferred optical materials journal for significant discoveries in photonics, plasmonics, metamaterials, and more. The Advanced portfolio from Wiley is a collection of globally respected, high-impact journals that disseminate the best science from established and emerging researchers, aiding them in fulfilling their mission and amplifying the reach of their scientific discoveries.