期刊
DALTON TRANSACTIONS
卷 50, 期 3, 页码 1053-1059出版社
ROYAL SOC CHEMISTRY
DOI: 10.1039/d0dt03802d
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资金
- Sichuan Science and Technology Program [2018JY0447]
A self-supported hierarchical NiFe LDH/VO(OH)(2) nanoflowers/nanosheets with a three-dimensional structure grown on Ni foam was synthesized via a two-step hydrothermal method, providing an extensive active surface area and numerous accessible active sites. The strong synergistic interaction between VO(OH)(2) and NiFe LDHs subtly modulates the electronic environment to accelerate electron/charge transfer, resulting in excellent electrochemical performance for OER. The catalyst exhibited remarkable long-term durability and stability during the 40-hour measurement, showing promise for designing high-efficiency metal electrocatalysts with hierarchical multi-dimensional nanostructures for OER.
Developing state-of-the-art non-noble metal catalysts for the oxygen evolution reaction holds a key to the production of electrolytic hydrogen. Herein, self-supported hierarchical NiFe LDH/VO(OH)(2) nanoflowers/nanosheets grown on a Ni foam have been synthesized via a two-step hydrothermal method. Numerous fine VO(OH)(2) nanosheets grown on NiFe LDH nanoflowers enlarge the contact area for the electrolyte penetration and facilitate ion diffusion, while the three-dimensional structure of the material also provides an extensive active surface area and plentiful accessible active sites. Moreover, the strong synergistic interaction between VO(OH)(2) and NiFe LDHs subtly modulates the electronic environment, accelerating the electron/charge transfer. As a result, the catalyst exhibits excellent electrochemical performance for OER giving a voltage of 1.51 V to achieve the current density of 100 mA cm(-2) and possessed a Tafel slope of 65 mV dec(-1) in 1.0 M KOH. In addition, the material exhibited remarkable long-term durability and stability during the 40 h measurement. This investigation provides a promising strategy for rationally designing high-efficiency metal electrocatalysts with hierarchical multi-dimensional nanostructures for OER.
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