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Modulating Decarboxylative Oxidation Photocatalysis by Ligand Engineering of Atomically Precise Copper Nanoclusters.

Mohammad BodiuzzamanKathiravan MurugesanPeng YuanBholanath MaityArunachalam SagadevanMalenahalli H NaveenSong WangPartha MaityMohammed F AlotaibiDe-En JiangMutalifu AbulikemuOmar F MohammedLuigi CavalloMagnus RuepingOsman M Bakr
Published in: Journal of the American Chemical Society (2024)
Copper nanoclusters (Cu NCs) characterized by their well-defined electronic and optical properties are an ideal platform for organic photocatalysis and exploring atomic-level behaviors. However, their potential as greener, efficient catalysts for challenging reactions like decarboxylative oxygenation under mild conditions remains unexplored. Herein, we present Cu 13 (Nap) 3 (PPh 3 ) 7 H 10 (hereafter Cu 13 Nap), protected by 1-naphthalene thiolate (Nap), which performs well in decarboxylative oxidation (90% yield) under photochemical conditions. In comparison, the isostructural Cu 13 (DCBT) 3 (PPh 3 ) 7 H 10 (hereafter Cu 13 DCBT), stabilized by 2,4-dichlorobenzenethiolate (DCBT), yields only 28%, and other previously reported Cu NCs (Cu 28 , Cu 29 , Cu 45 , Cu 57 , and Cu 61 ) yield in the range of 6-18%. The introduction of naphthalene thiolate to the surface of Cu 13 NCs influences their electronic structure and charge transfer in the ligand shell, enhancing visible light absorption and catalytic performance. Density functional theory (DFT) and experimental evidence suggest that the reaction proceeds primarily through an energy transfer mechanism. The energy transfer pathway is uncommon in the context of previous reports for decarboxylative oxidation reactions. Our findings suggest that strategically manipulating ligands holds significant potential for creating composite active sites on atomically precise copper NCs, resulting in enhanced catalytic efficacy and selectivity across various challenging reactions.
Keyphrases
  • visible light
  • aqueous solution
  • energy transfer
  • metal organic framework
  • density functional theory
  • quantum dots
  • signaling pathway
  • sensitive detection
  • high throughput
  • drug induced
  • clinical evaluation