Optimization of the spatial distribution of ultrafine Pt nanoparticles on rasberry-like carbon spheres for enhanced hydrogen evolution
Chenchen Gao, Hui Sun Ningxia University, China
The environmental and social problems causedby the excessive consumption of fossil energy have become increasingly prominent. Due to its ultra-high energy density, hydrogen energy is considered to be one of the most promising clean energy sources. Electrocatalytic hydrogen evolution reaction (HER) can convert electrical energy into hydrogen energy for storage, while the direct use of water electrolysis to produce hydrogen requires a high overpotential and brings a lot of energy consumption. Electrocatalysts can effectively reduce the overpotential, which is the focus in the development of electrocatalytic hydrogen evolution. In addition, exploration of the relationship between the spatial distribution and properties of loadings and supports is of high interest in materials science and technology. The optimization of the spatial distribution of catalytically active components on the support is critical to achieve excellent catalytic performance but still challenging. Herein, a one-stone, two birds strategy is proposed to prepare raspberry-like carbon nanospheres (R-CSs) with precisely controlled protrusions composed of multi-layer graphene on the surface induced by nickel (Ni) ions, in which ultrafine Pt nanoparticles can be selectively loaded on the protrusions (noted as Pt/Ni@R-CSs) to promote outstanding catalytic performance toward HER. An ultralow overpotential of 7.7 mV at the current density of 10 mA cm−2and a small Tafel slope of 46.6 mV dec−1in alkaline electrolyte is achieved, which is among the most efficient electrocatalysts reported thus far for HER. Besides, the Pt/Ni@R-CSs exhibits a 3.3 fold in mass activity (3.79 A mgPt−1) compared to benchmarking Pt/C catalysts (1.14 A mgPt−1) at overpotential of 150 mV. References 1. H. Sun, X. Li, K. Jin, X. Lai and J. Du. Nanoscale Adv. , 2022 , 4 , 1422. 2. H. Sun, S. Chen, X. Li, Y. Leng, X. Zhou and J. Du. Nat. Commun. , 2022 , 13 , 2170.
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