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Atomically Precise Single Metal Oxide Cluster Catalyst with Oxygen-Controlled Activity

  • Xinzhe Li
  • , Na Guo
  • , Zhongxin Chen
  • , Xin Zhou
  • , Xiaoxu Zhao
  • , Yonghua Du
  • , Lu Ma
  • , Yiyun Fang
  • , Haomin Xu
  • , Huimin Yang
  • , Wei Yu
  • , Shangchen Lu
  • , Mingjiao Tian
  • , Qian He
  • , Kian Ping Loh
  • , Shibo Xi
  • , Chun Zhang
  • , Jiong Lu
  • National University of Singapore
  • Chongqing Electric Power Research Institute
  • Nanyang Technological University
  • Brookhaven National Laboratory
  • Agency for Science, Technology and Research, Singapore

科研成果: 期刊稿件文章同行评审

30 引用 (Scopus)

摘要

Single cluster catalysts (SCCs) consisting of atomically precise metal nanoclusters dispersed on supports represent a new frontier of heterogeneous catalysis. However, the ability to synthesize SCCs with high loading and to precisely introduce non-metal atoms to further tune their catalytic activity and reaction scope of SCCs have been longstanding challenges. Here, a new interface confinement strategy is developed for the synthesis of a high density of atomically precise Ru oxide nanoclusters (Ru3O2) on reduced graphene oxide (rGO), attributed to the suppression of diffusion-induced metal cluster aggregation. Ru3O2/rGO exhibits a significantly enhanced activity for oxidative dehydrogenation of 1,2,3,4-tetrahydroquinoline (THQ) to quinoline with a high yield (≈86%) and selectivity (≈99%), superior to Ru and RuO2 nanoparticles, and homogeneous single/multiple-site Ru catalysts. In addition, Ru3O2/rGO is also capable of efficiently catalyzing more complex oxidative reactions involving three reactants. The theoretical calculations reveal that the presence of two oxygen atoms in the Ru3O2 motif not only leads to a weak hydrogen bonding interaction between the THQ reactant and the active site, but also dramatically depletes the density of states near the Fermi level, which is attributed to the increased positive valence state of Ru and the enhanced oxidative activity of the Ru3O2 cluster for hydrogen abstraction.

源语言英语
文章编号2200933
期刊Advanced Functional Materials
32
25
DOI
出版状态已出版 - 17 6月 2022
已对外发布

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