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Single Particle Hopping as an Indicator for Evaluating Electrocatalysts.

Jun-Gang Wang¹, Linjuan Zhang², Jing Xie³

¹School of Chemistry and Molecular Engineering, East China Normal University, Shanghai 200241, China.

|June 21, 2022

Summary

We developed a single particle imaging method to track electrocatalyst movement caused by gas nanobubbles. This hopping motion reveals intrinsic catalytic activity, enabling precise, high-throughput screening for gas evolution reactions.

Keywords:

electrochemical imaging electrochemical total internal reflection microscopy electrode−electrolyte interface gas evolution indicator

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Area of Science:

Electrochemistry
Materials Science
Surface Science

Background:

Understanding multiphase processes at the electrode-electrolyte interface is crucial for designing efficient electrocatalysts for gas evolution reactions.
Current methods struggle to capture dynamic interfacial phenomena under operando conditions, limiting precise evaluation of intrinsic catalytic performance.

Purpose of the Study:

To establish a novel single particle imaging method for real-time monitoring of electrocatalyst behavior during gas evolution.
To develop a new indicator for evaluating electrocatalyst performance based on observable particle dynamics.

Main Methods:

Utilizing single particle imaging to observe potential-dependent vertical motion (hopping) of electrocatalysts.
Correlating the observed hopping frequency and amplitude with intrinsic electrocatalytic activity.
Applying the method to various electrocatalysts for high-throughput screening.

Main Results:

Demonstrated that electrogenerated gas nanobubbles induce a measurable hopping motion in single electrocatalyst particles.
Established a direct correlation between the hopping feature of single particles and their intrinsic activity in gas evolution reactions.
Showcased the method's ability to provide precise catalyst evaluation, overcoming limitations of conventional electrochemical measurements.

Conclusions:

The single particle hopping motion serves as a reliable indicator for intrinsic electrocatalytic activity in gas evolution systems.
This optical method offers a powerful tool for precise evaluation and high-throughput screening of electrocatalysts, minimizing interference from various experimental complexities.