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Tuning and Directing Energy Transfer from the Blue to Near-Infrared Range in Multicomponent Metal-Organic Frameworks with seh Topology.

Jian ZhangKang ZhouHai-Lun XiaHui YangLei WangDawei LuoXiao-Yuan Liu
Published in: Inorganic chemistry (2023)
Luminescent metal-organic frameworks (MOFs) are emerging as one of several promising materials to study light-harvesting and energy-transfer processes. However, it is still a big challenge to tune and direct energy transfer in luminescent MOFs-based light-harvesting system. Herein, a series of new light-harvesting zinc-based luminescent MOFs with seh underlying topology were reported by successfully integrating 2,1,3-benzothiadiazole and its derivative-based carboxylic acids and pyridine-contained linkers into one structure. The strong spectra overlap between the emission and absorption spectra of carboxylic acids and pyridine-type linkers afforded an ideal platform to realize efficient energy transfer from the blue to near-infrared range. This work provides a novel approach to the rational design and synthesis of MOFs-based multicomponent light-harvesting materials with tunable energy transfer to mimic natural photosynthetic processes.
Keyphrases
  • energy transfer
  • metal organic framework
  • quantum dots
  • machine learning
  • big data
  • single cell