JOURNAL ARTICLE

Operando Mobile Catalysis for Reverse Water Gas Shift Reaction.

  • Published In: Angewandte Chemie International Edition, 2024, v. 63, n. 12. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Liang, Haojie; ZHANG, Bin; Hong, Mei; Yang, Xinchun; Zhu, Ling; Liu, Xingchen; Qi, Yuntao; Zhao, Shichao; Wang, Guofu; van Bavel, Alexander P.; Wen, Xiaodong; Qin, Yong 3 of 3

Abstract

Metal atoms on the support serve as active sites for many heterogeneous catalysts. However, the active metal sites on the support are conventionally described as static, and the intermediates adsorbed on the support far away from the active metal sites cannot be transformed. Herein, we report the first example of operando mobile catalysis to promote catalytic efficiency by enhancing the collision probability between active sites and reactants or reaction intermediates. Specifically, ligand‐coordinated Pt single atoms (isolated MeCpPt‐ species) are bonded on CeO2 and transformed into mobile MeCpPt(H)CO complexes during the reverse water gas shift reaction for operando mobile catalysis. This strategy enables the conversion of inert carbonate intermediates on the CeO2 support. A turnover frequency (TOF) of 6358 mol CO2 molPt−1 ⋅ h−1 and 99 % CO selectivity at 300 °C is obtained for reverse water gas shift reaction, dramatically higher than those of Pt catalysts reported in the literature. Operando mobile catalysis presents a promising strategy for designing high‐efficiency heterogeneous catalysts for various chemical reactions and applications. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Angewandte Chemie International Edition. 2024/03, Vol. 63, Issue 12, p1
  • Document Type:Article
  • Subject Area:Chemistry
  • Publication Date:2024
  • ISSN:1433-7851
  • DOI:10.1002/anie.202318747
  • Accession Number:175964356
  • Copyright Statement:Copyright of Angewandte Chemie International Edition is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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