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Related Experiment Video

Updated: May 11, 2026

Cryo-Electron Tomography Remote Data Collection and Subtomogram Averaging

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Published on: July 12, 2022

Ensemble average TIRM for imaging amperometry.

Reza M Rock¹, Paul J Sides, Dennis C Prieve

¹Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA. rrock@andrew.cmu.edu

Journal of Colloid and Interface Science

|May 21, 2013

Summary

This summary is machine-generated.

This study adapts imaging amperometry to analyze electrochemical activity across large electrode surfaces using particle ensembles. The method accurately maps current density by relating light scattering from particle groups to local electric fields.

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Area of Science:

Electrochemistry
Materials Science
Optical Microscopy

Background:

Colloidal particles can probe local electrochemical current density.
Single-particle imaging amperometry uses total internal reflection microscopy to observe particle movement.
Analyzing large surfaces with single particles is impractical due to data and optical limitations.

Purpose of the Study:

Adapt single-particle imaging amperometry for analyzing macro-scale electrode surfaces.
Develop a method using particle ensembles to map electrochemical activity.
Establish a relationship between light scattering from particle ensembles and local electric fields.

Main Methods:

Utilized particle ensembles on subdivided electrode patches for macro-scale analysis.
Applied total internal reflection microscopy to observe light scattering from particle groups.
Correlated mean scattering intensity (corrected to its mode) with current density.

Main Results:

Demonstrated that the single-particle relationship between current density and scattering intensity holds for ensembles.
Successfully mapped electrochemical activity across a patterned electrode with high spatial resolution.
Calculated currents from light scattering agreed well with directly measured currents.

Conclusions:

Ensemble-based imaging amperometry is a practical method for mapping electrochemical activity on large surfaces.
The adapted method provides accurate location-dependent electrochemical information.
This technique offers a powerful tool for studying electrocatalytic properties of patterned electrodes.