Decoding Active Sites for Highly Efficient Semihydrogenation of Acetylene in Palladium-Copper Nanoalloys

Fan Xue, Qiang Li*, Mingxin Lv, Shaoxia Weng, Tianyi Li, Yang Ren, Yanan Liu, Dianqing Li, Yufei He, Qiheng Li, Xin Chen, Qinghua Zhang, Lin Gu, Jinxia Deng, Jie Chen, Lunhua He, Xiaojun Kuang, Jun Miao, Yili Cao, Kun LinXianran Xing*

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

9 Citations (Scopus)

Abstract

Accurately decoding the three-dimensional atomic structure of surface active sites is essential yet challenging for a rational catalyst design. Here, we used comprehensive techniques combining the pair distribution function and reverse Monte Carlo simulation to reveal the surficial distribution of Pd active sites and adjacent coordination environment in palladium-copper nanoalloys. After the fine-tuning of the atomic arrangement, excellent catalytic performance with 98% ethylene selectivity at complete acetylene conversion was obtained in the Pd34Cu66 nanocatalysts, outperforming most of the reported advanced catalysts. The quantitative deciphering shows a large number of active sites with a Pd-Pd coordination number of 3 distributed on the surface of Pd34Cu66 nanoalloys, which play a decisive role in highly efficient semihydrogenation. This finding not only opens the way for guiding the precise design of bimetal nanocatalysts from atomic-level insight but also provides a method to resolve the spatial structure of active sites. © 2024 American Chemical Society.
Original languageEnglish
Pages (from-to)6269-6277
JournalNano Letters
Volume24
Issue number21
Online published14 May 2024
DOIs
Publication statusPublished - 29 May 2024

Research Keywords

  • 3D distribution of active sites
  • local structure
  • pair distribution function
  • selective hydrogenation

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