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Bimetallic phosphide hollow nanocubes derived from a prussian-blue-analog used as high-performance catalysts for the oxygen evolution reaction

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Abstract

The development of efficient and stable electrocatalysts for the oxygen evolution reaction (OER) based on earth-abundant materials is of significance to enable water splitting as a feasible source of alternative energy. Metal–organic frameworks (MOFs) have been intensively employed as the templates/precursors to synthesize catalysts with hollow structures for various energy-related applications. In this study, using MOF (Ni–Fe prussian-blue-analog) as a template and precursor, a novel and promising bimetallic phosphide catalyst (Ni0.62Fe0.38)2P was obtained. Benefiting from synergistic effect between the Ni and Fe species, well-defined architecture and high surface area the as-made (Ni0.62Fe0.38)2P hollow nanocubes show a remarkable electrocatalytic performance for the OER in 1 M KOH electrolyte with a low overpotential of only 290 mV at a current density of 10 mA cm−2 and a small Tafel slope of 44 mV per decade, which even surpass the benchmark IrO2 catalyst. Moreover, the (Ni0.62Fe0.38)2P hollow nanocubes exhibit good long-term stability. This facile and novel route to prepare bimetallic phosphide hollow nanocubes as active OER catalysts broadens the scope for designing other noble-metal-free OER efficient catalysts for electrochemical water splitting in the future.

Graphical abstract: Bimetallic phosphide hollow nanocubes derived from a prussian-blue-analog used as high-performance catalysts for the oxygen evolution reaction

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Publication details

The article was received on 07 Jan 2017, accepted on 06 Mar 2017, published on 06 Mar 2017 and first published online on 06 Mar 2017


Article type: Paper
DOI: 10.1039/C7CY00035A
Citation: Catal. Sci. Technol., 2017, Advance Article
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    Bimetallic phosphide hollow nanocubes derived from a prussian-blue-analog used as high-performance catalysts for the oxygen evolution reaction

    H. Zou, C. Yuan, H. Zou, T. Cheang, S. Zhao, U. Y. Qazi, S. Zhong, L. Wang and A. Xu, Catal. Sci. Technol., 2017, Advance Article , DOI: 10.1039/C7CY00035A

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