ACS Catalysis · 2020 · 157 citations · 39 references
Natural SciencesChemical EngineeringMaterials ScienceElectrochemistryInorganic ChemistryNanomaterialsCatalyst DesignCatalytic MechanismsElectrode MaterialsMetal OxidesMetal SulfidesOxygen EvolutionCobalt SulfidesElectrocatalystsElectrocatalytic Oxygen EvolutionOperando Raman SpectroscopyOperando SpectroscopyOxygen Evolution ReactionTransition Metal SulfidesWater Splitting
In-depth understanding of electrocatalytically active species transformation during oxygen evolution reaction (OER) is highly guidable to design effective electrocatalysts for water splitting. Herein, cobalt sulfide (CoSx) nanovesicles decorated with iron sulfide (FeSx) heterophases were successfully synthesized by using a metal–organic framework precursor through a solvothermal method. The obtained CoSx/FeSx exhibited much elevated OER activity as compared to pristine CoSx and even most previously reported cobalt-based electrocatalysts, with the overpotential of 304 mV at 10 mA cm–2 in 1 M KOH. As revealed by operando Raman and X-ray absorption spectroscopy measurements, the electrocatalytically active species transformation in CoSx nanovesicles could be stimulated by the incorporated FeSx heterophases due to the increased average valence state of cobalt and lowered coordination of cobalt sites. As a result, the electrocatalytically active cobalt oxyhydroxides could be more easily formed on the catalyst surface during OER and thus contributed to the highly improved performance. This real-time spectral and electrochemical insight into the electrocatalytically active species transformation may guide the rational design of highly efficient electrocatalysts for water splitting from the viewpoint of electronic structure-electrocatalytic activity relationship.
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Ultrathin metal–organic framework nanosheets for electrocatalytic oxygen evolution
Shenlong Zhao, Yun Wang, Juncai Dong et al. · Nature Energy · 2016 · 2.6K citations
Natural Sciences, Materials Engineering, Materials Science +12
Jun Gu, Chia‐Shuo Hsu, Lichen Bai et al. · Science · 2019 · 1.6K citations · Full text