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Nano Research 2018,11 (2) : 988-996 https://doi.org/10.1007/s12274-017-1711-3
Research Article | Issue | Published: 04 August 2017
Hierarchical coral-like NiMoS nanohybrids as highly efficient bifunctional electrocatalysts for overall urea electrolysis
Show Author's Information Xiaoxia Wang1,  Jianmei Wang2,  Xuping Sun3( ),  Shuang Wei1,  Liang Cui1,  Wenrong Yang2,  Jingquan Liu1( )
College of Materials Science and EngineeringInstitute for Graphene Applied Technology InnovationQingdao UniversityQingdao266071China
College of ChemistrySichuan UniversityChengdu610064China
School of Life and Environmental SciencesDeakin UniversityGeelong3217VIC, Australia
Keywords:
urea electrolysis, Ni-Mo sulfide, coral-like, bifunctional catalysts, superior activity
Cite this article:
X. Wang, J. Wang, X. Sun, et al. Hierarchical coral-like NiMoS nanohybrids as highly efficient bifunctional electrocatalysts for overall urea electrolysis. Nano Research. 2018, 11 (2) : 988-996. https://doi.org/10.1007/s12274-017-1711-3.
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Abstract Full text Electronic supplementary material About this article

Novel hierarchical coral-like Ni-Mo sulfides on Ti mesh (denoted as HC-NiMoS/Ti) were synthesized through facile hydrothermal and subsequent sulfuration processes without any template. These non-precious HC-NiMoS/Ti hybrids were explored as bifunctional catalysts for urea-based overall water splitting, including the anodic urea oxygen evolution reaction (UOR) and cathodic hydrogen evolution reaction (HER). Due to the highly exposed active sites, excellent charge transfer ability, and good synergistic effects from multi-component reactions, the HC-NiMoS/Ti hybrid exhibited superior activity and high stability, and only a cell voltage of 1.59 V was required to deliver 10 mA·cm–2 current density in an electrolyte of 1.0 M KOH with 0.5 M urea.

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Received: 22 March 2017
Revised: 09 June 2017
Accepted: 10 June 2017
Published: 04 August 2017
Issue date: February 2018

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© Tsinghua University Press and Springer-Verlag GmbH Germany 2017

Acknowledgements

Acknowledgements

This work was supported by Qingdao Innovation Leading Expert Program, Qingdao Basic & Applied Research project (No. 15-9-1-100-jch), and the Qingdao Postdoctoral Application Research Project (No. 40601060003).

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