State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing, 210023, P. R. China.
Department of Chemistry, The University of Western Ontario, 1151 Richmond Street, London, ON N6A 5B7, Canada.
Chemistry. 2021 Aug 16;27(46):11799-11803. doi: 10.1002/chem.202101263. Epub 2021 Jul 5.
The nanoparticle-based electrocatalysts' performance is directly related to their working conditions. In general, a number of nanoparticles are uncontrollably fixed on a millimetre-sized electrode for electrochemical measurements. However, it is hard to reveal the maximum electrocatalytic activity owing to the aggregation and detachment of nanoparticles on the electrode surface. To solve this problem, here, we take the hydrogen evolution reaction (HER) catalyzed by palladium nanoparticles (Pd NPs) as a model system to track the electrocatalytic activity of single Pd NPs by stochastic collision electrochemistry and ensemble electrochemistry, respectively. Compared with the nanoparticle fixed working condition, Pd NPs in the nanoparticle diffused working condition results in a 2-5 orders magnitude enhancement of electrocatalytic activity for HER at various bias potential. Stochastic collision electrochemistry with high temporal resolution gives further insights into the accurate study of NPs' electrocatalytic performance, enabling to dramatically enhance electrocatalytic efficiency.
基于纳米粒子的电催化剂的性能与其工作条件直接相关。通常,大量纳米粒子不可控地固定在毫米大小的电极上进行电化学测量。然而,由于纳米粒子在电极表面的聚集和脱落,很难揭示其最大的电催化活性。为了解决这个问题,在这里,我们以钯纳米粒子(Pd NPs)催化的析氢反应(HER)为模型体系,分别采用随机碰撞电化学和整体电化学来跟踪单个 Pd NPs 的电催化活性。与纳米粒子固定的工作条件相比,在纳米粒子扩散的工作条件下,Pd NPs 对 HER 在各种偏压下的电催化活性增强了 2-5 个数量级。具有高时间分辨率的随机碰撞电化学可以更深入地了解 NPs 电催化性能的准确研究,从而显著提高电催化效率。