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Updated: Jun 17, 2026

Probing Surface Electrochemical Activity of Nanomaterials using a Hybrid Atomic Force Microscope-Scanning Electrochemical Microscope (AFM-SECM)

Probing Surface Electrochemical Activity of Nanomaterials using a Hybrid Atomic Force Microscope-Scanning Electrochemical Microscope (AFM-SECM)

Published on: February 10, 2021

Analytical expressions for quantitative scanning electrochemical microscopy (SECM).

Christine Lefrou¹, Renaud Cornut

¹LEPMI, Laboratoire d'Electrochimie et Physicochimie des Matériaux et des Interfaces, UMR 5631 CNRS-Grenoble-INP-Université Joseph Fourier, 1130 rue de la piscine, BP 75, Domaine Universitaire, 38402 Saint Martin d'Hères Cedex, France. christine.lefrou@grenoble-inp.fr

Chemphyschem : a European Journal of Chemical Physics and Physical Chemistry

|January 9, 2010

Summary

Scanning electrochemical microscopy (SECM) uses microelectrodes to analyze surfaces. This review compiles and evaluates analytical expressions for SECM feedback approach curves, crucial for interpreting experimental data.

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Area of Science:

Electrochemistry
Analytical Chemistry
Surface Science

Background:

Scanning electrochemical microscopy (SECM) is an electrochemical technique developed in the 1990s.
SECM utilizes microelectrodes for surface analysis, presenting complex geometries.
Exact analytical expressions for simple SECM experiments like feedback approach curves are lacking.

Purpose of the Study:

To compile all available analytical expressions for SECM steady-state feedback experiments.
To critically evaluate the validity and applicability of existing analytical expressions.
To provide a comprehensive resource for SECM data interpretation.

Main Methods:

Literature review of analytical expressions for SECM feedback experiments.
Analysis of claimed general and approximate analytical expressions.
Discussion of expression validity based on current understanding and computational capabilities.

Main Results:

Identified and collected various analytical expressions used in SECM literature.
Highlighted discrepancies and limitations in existing expressions.
Assessed the applicability of different expressions under varying experimental conditions.

Conclusions:

A comprehensive collection of analytical expressions for SECM feedback experiments is presented.
The validity of existing expressions requires careful consideration of system geometry and approximations.
Further development and validation of analytical models are needed for accurate SECM data interpretation.