Issue 11, 2022

The rapid self-reconstruction of Fe-modified Ni hydroxysulfide for efficient and stable large-current-density water/seawater oxidation

Abstract

The reasonable design of electrocatalysts with rapid self-reconstruction for an efficient oxygen evolution reaction (OER) at commercially required current densities is highly desirable but very challenging. Herein, ultrathin Fe-modified Ni hydroxysulfide (Fe–NiSOH) nanosheet arrays were grown in situ on Ni foam via a simple two-step oxidation strategy for efficient and stable large-current-density water/seawater oxidation. Systematic insights, including experimental and theoretical analysis, reveal that in situ S leaching from the electrode boosts its self-reconstruction and results in the more-ready generation of highly active Ni4+ species, which benefits from a reduced formation energy. Owing to its excellent physical and chemical properties, the Fe–NiSOH catalyst requires only low overpotentials of 207, 240, and 268 mV in alkaline water to deliver current densities of 10, 100, and 500 mA cm−2, respectively, and it can work stably for 1100 hours at the commercially required current density of 500 mA cm−2. Furthermore, it also exhibits excellent seawater oxidation activity and superior resistance to Cl corrosion, since it can run stably at 500 mA cm−2 for over 900 hours. This work offers an efficient strategy to build rapidly self-reconstructing electrocatalysts to promote the formation of highly oxidized metal species for efficient and stable water/seawater oxidation.

Graphical abstract: The rapid self-reconstruction of Fe-modified Ni hydroxysulfide for efficient and stable large-current-density water/seawater oxidation

Supplementary files

Article information

Article type
Paper
Submitted
07 May 2022
Accepted
13 Sep 2022
First published
14 Sep 2022

Energy Environ. Sci., 2022,15, 4647-4658

The rapid self-reconstruction of Fe-modified Ni hydroxysulfide for efficient and stable large-current-density water/seawater oxidation

C. Huang, Q. Zhou, D. Duan, L. Yu, W. Zhang, Z. Wang, J. Liu, B. Peng, P. An, J. Zhang, L. Li, J. Yu and Y. Yu, Energy Environ. Sci., 2022, 15, 4647 DOI: 10.1039/D2EE01478E

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