Understanding activity and selectivity of metal-nitrogen-doped carbon catalysts for electrochemical reduction of CO2

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

  • Wen Ju - , Technical University of Berlin (Author)
  • Alexander Bagger - , University of Copenhagen (Author)
  • Guang Ping Hao - , Chair of Inorganic Chemistry I, Technical University of Berlin (Author)
  • Ana Sofia Varela - , Technical University of Berlin, Universidad Nacional Autónoma de México (Author)
  • Ilya Sinev - , Ruhr University Bochum (Author)
  • Volodymyr Bon - , Chair of Inorganic Chemistry I (Author)
  • Beatriz Roldan Cuenya - , Ruhr University Bochum, Fritz Haber Institute of the Max Planck Society (Author)
  • Stefan Kaskel - , Chair of Inorganic Chemistry I (Author)
  • Jan Rossmeisl - , Technical University of Berlin, University of Copenhagen (Author)
  • Peter Strasser - , Technical University of Berlin (Author)

Abstract

Direct electrochemical reduction of CO2 to fuels and chemicals using renewable electricity has attracted significant attention partly due to the fundamental challenges related to reactivity and selectivity, and partly due to its importance for industrial CO2-consuming gas diffusion cathodes. Here, we present advances in the understanding of trends in the CO2 to CO electrocatalysis of metal- and nitrogen-doped porous carbons containing catalytically active M-N x moieties (M = Mn, Fe, Co, Ni, Cu). We investigate their intrinsic catalytic reactivity, CO turnover frequencies, CO faradaic efficiencies and demonstrate that Fe-N-C and especially Ni-N-C catalysts rival Au- and Ag-based catalysts. We model the catalytically active M-N x moieties using density functional theory and correlate the theoretical binding energies with the experiments to give reactivity-selectivity descriptors. This gives an atomic-scale mechanistic understanding of potential-dependent CO and hydrocarbon selectivity from the M-N x moieties and it provides predictive guidelines for the rational design of selective carbon-based CO2 reduction catalysts.

Details

Original languageEnglish
Article number944
JournalNature communications
Volume8
Issue number1
Publication statusPublished - 1 Dec 2017
Peer-reviewedYes

External IDs

PubMed 29038491