Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/184657
Title: Separating nanobubble nucleation for transfer-resistance-free electrocatalysis
Authors: Guo, Shasha
Yu, Maolin
Lee, Jinn-Kye
Qiu, Mengyi
Yuan, Dundong
Hu, Zhili
Zhu, Chao
Wu, Yao
Shi, Zude
Ma, Wei
Wang, Shuangyin
He, Yongmin
Zhang, Zhengyang
Zhang, Zhuhua
Liu, Zheng
Keywords: Engineering
Issue Date: 2025
Source: Guo, S., Yu, M., Lee, J., Qiu, M., Yuan, D., Hu, Z., Zhu, C., Wu, Y., Shi, Z., Ma, W., Wang, S., He, Y., Zhang, Z., Zhang, Z. & Liu, Z. (2025). Separating nanobubble nucleation for transfer-resistance-free electrocatalysis. Nature Communications, 16(1), 919-. https://dx.doi.org/10.1038/s41467-024-55750-5
Project: MOE2019-T2-2-105 
RG7/21
EDUNC-33-18-279-V12
RG10/20
RG60/21
A2084c0065 
M21K2c0110 
Journal: Nature Communications
Abstract: Electrocatalytic gas-evolving reactions often result in bubble-covered surfaces, impeding the mass transfer to active sites. Such an issue will be worsened in practical high-current-density conditions and can cause sudden cell failure. Herein, we develop an on-chip microcell-based total-internal-reflection-fluorescence-microscopy to enable operando imaging of bubbles at sub-50 nm and dynamic probing of their nucleation during hydrogen evolution reaction. Using platinum-interfacial metal layer-graphene as model systems, we demonstrate that the strong binding energy between interfacial metal layer and graphene-evidenced by a reduced metal-support distance and enhanced charge transfer-facilitates hydrogen spillover from platinum to the graphene support due to lower energy barriers compared to the platinum-graphene system. This results in the spatial separation of bubble nucleation from the platinum surface, notably enhancing catalytic activity, as demonstrated in both microcell and polymer electrolyte membrane cell experiments. Our findings offer insights into bubble nucleation control and the design of electrocatalytic interfaces with minimized transfer resistance.
URI: https://hdl.handle.net/10356/184657
ISSN: 2041-1723
DOI: 10.1038/s41467-024-55750-5
Schools: School of Chemistry, Chemical Engineering and Biotechnology 
School of Materials Science and Engineering 
Organisations: Institute for Functional Intelligent Materials, NUS
Research Centres: CINTRA CNRS/NTU/THALES, UMI 3288
Rights: © 2024 The Author(s). Open Access. This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http:// creativecommons.org/licenses/by-nc-nd/4.0/.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:CCEB Journal Articles

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