Published January 29, 2025 | Published
Journal Article Open

Molecular Strain Accelerates Electron Transfer for Enhanced Oxygen Reduction

  • 1. ROR icon California Institute of Technology
  • 2. ROR icon City University of Hong Kong
  • 3. ROR icon Hong Kong Polytechnic University
  • 4. ROR icon Hong Kong University of Science and Technology
  • 5. ROR icon Chinese University of Hong Kong
  • 6. ROR icon City University of Hong Kong, Shenzhen Research Institute
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Abstract

Fe–N–C materials are emerging catalysts for replacing precious platinum in the oxygen reduction reaction (ORR) for renewable energy conversion. However, their potential is hindered by sluggish ORR kinetics, leading to a high overpotential and impeding efficient energy conversion. Using iron phthalocyanine (FePc) as a model catalyst, we elucidate how the local strain can enhance the ORR performance of Fe–N–Cs. We use density functional theory to predict the reaction mechanism for the four-electron reduction of oxygen to water. Several key differences between the reaction mechanisms for curved and flat FePc suggest that molecular strain accelerates the reductive desorption of *OH by decreasing the energy barrier by ∼60 meV. Our theoretical predictions are substantiated by experimental validation; we find that strained FePc on single-walled carbon nanotubes attains a half-wave potential (E1/2) of 0.952 V versus the reversible hydrogen electrode and a Tafel slope of 35.7 mV dec–1, which is competitive with the best-reported Fe–N–C values. We also observe a 70 mV change in E1/2 and dramatically different Tafel slopes for the flat and curved configurations, which agree well with the calculated energies. When integrated into a zinc–air battery, our device affords a maximum power density of 350.6 mW cm–2 and a mass activity of 810 mAh gZn–1 at 10 mA cm–2. Our results indicate that molecular strain provides a compelling tool for modulating the ORR activities of Fe–N–C materials.

Copyright and License

© 2025 American Chemical Society. This publication is licensed under CC-BY 4.0

Acknowledgement

R.Y. acknowledges support from the Guangdong Basic and Applied Basic Research Fund (2022A1515011333 and 2024A1515030164), the Hong Kong Research Grants Council (11307120 and 11309723), the State Key Laboratory of Marine Pollution (SKLMP/SCRF/0060), and the Shenzhen Science and Technology Program (JCYJ20220818101204009). C.B.M. and W.A.G. acknowledge support from the Hong Kong Quantum AI Lab, AIR@InnoHK of Hong Kong Government and from the US NSF (CBET 2311117). B.Z.T. acknowledges support from the Shenzhen Key Laboratory of Functional Aggregate Materials (ZDSYS20211021111400001) and the Science Technology Innovation Commission of Shenzhen Municipality (KQTD20210811090142053 and JCYJ20220818103007014). The paper is adapted from a dissertation. (doi:10.7907/hnc1-je90)

Supplemental Material

The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/jacs.4c16637.

  • Additional experimental procedures and materials characterizations including methods, images of catalysts, spectroscopic data, and performance data: ja4c16637_si_001.docx (21.62 MB)

 

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Additional details

Created:
April 3, 2025
Modified:
April 3, 2025