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Size Effects of Highly Dispersed Bismuth Nanoparticles on Electrocatalytic Reduction of Carbon Dioxide to Formic Acid

  • Guangri Jia
  • , Ying Wang
  • , Mingzi Sun
  • , Hao Zhang
  • , Lejing Li
  • , Yanbiao Shi
  • , Lizhi Zhang
  • , Xiaoqiang Cui
  • , Tsz Woon Benedict Lo*
  • , Bolong Huang*
  • , Jimmy C. Yu*
  • *Corresponding author for this work

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

19 Downloads (CityUHK Scholars)

Abstract

Electrocatalytic reduction of carbon dioxide into value-added chemical fuels is a promising way to achieve carbon neutrality. Bismuth-based materials have been considered as favorable electrocatalysts for converting carbon dioxide to formic acid. Moreover, size-dependent catalysis offers significant advantages in catalyzed heterogeneous chemical processes. However, the size effects of bismuth nanoparticles on formic acid production have not been fully explored. Here, we prepared Bi nanoparticles uniformly supported on porous TiO2 substrate electrocatalytic materials by in situ segregation of the Bi element from Bi4Ti3O12. The Bi-TiO2 electrocatalyst with Bi nanoparticles of 2.83 nm displays a Faradaic efficiency of greater than 90% over a wide potential range of 400 mV. Theoretical calculations have also demonstrated subtle electronic structural evolutions induced by the size variations of Bi nanoparticles, where the 2.83 nm Bi nanoparticles display the most active p-band and d-band centers to guarantee high electroactivity toward CO2RR. © 2023 The Authors. Published by American Chemical Society.
Original languageEnglish
Pages (from-to)14133-14142
JournalJournal of the American Chemical Society
Volume145
Issue number25
Online published15 Jun 2023
DOIs
Publication statusPublished - 28 Jun 2023
Externally publishedYes

Funding

This work is supported by the National Key R&D Program of China (2021YFA1501101), the Research Grants Council of Hong Kong (Project 14304019), the National Natural Science Foundation of China/Research Grant Council of Hong Kong Joint Research Scheme (N_PolyU502/21), the National Natural Science Foundation of China/Research Grants Council (RGC) of Hong Kong Collaborative Research Scheme (CRS_PolyU504_22), the funding for Projects of Strategic Importance of The Hong Kong Polytechnic University (Project Code: 1-ZE2V), the Shenzhen Fundamental Research Scheme-General Program (JCYJ20220531090807017), the Natural Science Foundation of Guangdong Province (2023A1515012219), and the Departmental General Research Fund (Project Code: ZVUL) from The Hong Kong Polytechnic University. The authors appreciate support from the Research Centre for Carbon-Strategic Catalysis (RC-CSC), the Research Institute for Smart Energy (RISE), and the Research Institute for Intelligent Wearable Systems (RI-IWEAR) of The Hong Kong Polytechnic University. The authors also thank the UCEA of The Hong Kong Polytechnic University for in situ Raman measurement and Yiwei Hu from the Shiyanjia Lab (www.shiyanjia.com) for the XPS test.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 13 - Climate Action
    SDG 13 Climate Action

Publisher's Copyright Statement

  • This full text is made available under CC-BY 4.0. https://creativecommons.org/licenses/by/4.0/

RGC Funding Information

  • RGC-funded

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