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PtMo Alloy and MoOx@Pt Core−Shell Nanoparticles as Highly CO-Tolerant Electrocatalysts
Abstract
PtMo alloy and MoO(x)@Pt core-shell nanoparticles (NPs) were successfully synthesized by a chemical coreduction and sequential chemical reduction method, respectively. Both the carbon-supported alloy and core-shell NPs show substantially higher CO tolerance, compared to the commercialized E-TEK PtRu alloy and Pt catalyst. These novel nanocatalysts can be potentially used as highly CO-tolerant anode electrocatalysts in proton exchange membrane fuel cells.
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Citations
Cited by
Zhang, Z., Liu, J., Gu, J., Su, L., & Cheng, L. (2014) · Energy Environ. Sci. · doi:10.1039/c3ee43886d · Cited by 478
Liu, Z., Jackson, G. S., & Eichhorn, B. W. (2010) · Angewandte Chemie International Edition · doi:10.1002/anie.200907019 · Cited by 192
Self-citationSurface engineering for stable electrocatalysis
Do, V.-H., & Lee, J.-M. (2024) · Chemical Society Reviews · doi:10.1039/d3cs00292f · Cited by 167
Zhang, Z.-C., Tian, X.-C., Zhang, B.-W., Huang, L., Zhu, F.-C., Qu, X.-M., Liu, L., Liu, S., Jiang, Y.-X., & Sun, S.-G. (2017) · Nano Energy · doi:10.1016/j.nanoen.2017.02.023 · Cited by 110
Yuan, Q., & Wang, X. (2010) · Nanoscale · doi:10.1039/c0nr00342e · Cited by 63
Surface Anion Promotes Pt Electrocatalysts with High CO Tolerance in Fuel-Cell Performance
Cheng, H., Xia, J., Wang, M., Wang, C., Gui, R., Cao, X., Zhou, T., Zheng, X., Chu, W., Wu, H., et al. (2022) · Journal of the American Chemical Society · doi:10.1021/jacs.2c09147 · Cited by 57
Metadata
- Authors
- Liu, Z., Hu, J. E., Wang, Q., Gaskell, K., Frenkel, A. I., Jackson, G. S., & Eichhorn, B.
- Venue
- Journal of the American Chemical Society
- Publisher
- American Chemical Society (ACS)
- Published
- 2009-05-06
- Volume
- 131
- Issue
- 20
- Pages
- 6924-6925
- ISSN
- 0002-7863 (ISSN-L)
- 1520-5126
- OpenAlex
- W2052471613
- Cited by
- 171
- References
- 0
- FWCI
- 6.55
- Type
- journal article
- Language
- en
- Open access
- closed
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
