Literature DB >> 31332954

Structure-Tunable Copper-Indium Catalysts for Highly Selective CO2 Electroreduction to CO or HCOOH.

Minghui Zhu1, Pengfei Tian1, Jiayu Li1, Jiacheng Chen1, Jing Xu1, Yi-Fan Han1,2.   

Abstract

Selectively approaching chemicals with one composition-tunable catalyst is attractive for practical manufacturing. Bimetallic copper-indium (Cu-In) catalysts have been synthesized by using a coprecipitation method and found to be among the best reported In-based catalysts for electrochemical CO2 reduction to CO or HCOOH. By varying the metal ratio, the catalyst can be tuned from a core-shell structure that selectively produces CO to a well-mixed structure that prefers HCOOH production. The distinct selectivities depend on the structure-sensitive binding strength of key reactive intermediates. These findings can benefit the development of a broader range of selectivity-tunable catalysts.
© 2019 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  alloys; carbon dioxide; copper; electrocatalysis; indium

Year:  2019        PMID: 31332954     DOI: 10.1002/cssc.201901884

Source DB:  PubMed          Journal:  ChemSusChem        ISSN: 1864-5631            Impact factor:   8.928


  3 in total

Review 1.  Electrochemical CO2 Reduction on Cu: Synthesis-Controlled Structure Preference and Selectivity.

Authors:  Weiwei Quan; Yingbin Lin; Yongjin Luo; Yiyin Huang
Journal:  Adv Sci (Weinh)       Date:  2021-10-23       Impact factor: 16.806

2.  MOF-Transformed In2O3-x@C Nanocorn Electrocatalyst for Efficient CO2 Reduction to HCOOH.

Authors:  Chen Qiu; Kun Qian; Jun Yu; Mingzi Sun; Shoufu Cao; Jinqiang Gao; Rongxing Yu; Lingzhe Fang; Youwei Yao; Xiaoqing Lu; Tao Li; Bolong Huang; Shihe Yang
Journal:  Nanomicro Lett       Date:  2022-08-17

3.  Surface Coverage as an Important Parameter for Predicting Selectivity Trends in Electrochemical CO2 Reduction.

Authors:  Andrew R T Morrison; Mahinder Ramdin; Leo J P van der Broeke; Wiebren de Jong; Thijs J H Vlugt; Ruud Kortlever
Journal:  J Phys Chem C Nanomater Interfaces       Date:  2022-07-13       Impact factor: 4.177

  3 in total

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