Literature DB >> 33682240

Linking the Dynamic Chemical State of Catalysts with the Product Profile of Electrocatalytic CO2 Reduction.

Jiali Wang1, Hui-Ying Tan1, Yanping Zhu1, Hang Chu1, Hao Ming Chen1,2.   

Abstract

The promoted activity and enhanced selectivity of electrocatalysts is commonly ascribed to specific structural features such as surface facets, morphology, and atomic defects. However, unraveling the factors that really govern the direct electrochemical reduction of CO2 (CO2 RR) is still very challenging since the surface state of electrocatalysts is dynamic and difficult to predict under working conditions. Moreover, theoretical predictions from the viewpoint of thermodynamics alone often fail to specify the actual configuration of a catalyst for the dynamic CO2 RR process. Herein, we re-survey recent studies with the emphasis on revealing the dynamic chemical state of Cu sites under CO2 RR conditions extracted by in situ/operando characterizations, and further validate a critical link between the chemical state of Cu and the product profile of CO2 RR. This point of view provides a generalizable concept of dynamic chemical-state-driven CO2 RR selectivity that offers an inspiration in both fundamental understanding and efficient electrocatalysts design.
© 2021 Wiley-VCH GmbH.

Entities:  

Keywords:  CO2 electroreduction; chemical state; operando detection; product selectivity

Year:  2021        PMID: 33682240     DOI: 10.1002/anie.202017181

Source DB:  PubMed          Journal:  Angew Chem Int Ed Engl        ISSN: 1433-7851            Impact factor:   15.336


  2 in total

1.  Hydroxyl radicals dominate reoxidation of oxide-derived Cu in electrochemical CO2 reduction.

Authors:  Shijia Mu; Honglei Lu; Qianbao Wu; Lei Li; Ruijuan Zhao; Chang Long; Chunhua Cui
Journal:  Nat Commun       Date:  2022-06-27       Impact factor: 17.694

2.  Linking oxidative and reductive clusters to prepare crystalline porous catalysts for photocatalytic CO2 reduction with H2O.

Authors:  Jie Zhou; Jie Li; Liang Kan; Lei Zhang; Qing Huang; Yong Yan; Yifa Chen; Jiang Liu; Shun-Li Li; Ya-Qian Lan
Journal:  Nat Commun       Date:  2022-08-10       Impact factor: 17.694

  2 in total

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