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Updated: Feb 28, 2026

Electrochemical Impedance Spectroscopy as a Tool for Electrochemical Rate Constant Estimation
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Computational Approach to Fast Analysis of Electrochemical Impedance Spectroscopy.

Cristiano Lo Pò1, Stefano Boscarino1, Francesco Ruffino1,2,3

  • 1Dipartimento di Fisica e Astronomia "Ettore Majorana", Università di Catania, Via S. Sofia 64, 95123 Catania, Italy.

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|February 27, 2026
PubMed
Summary

This study introduces a C-based fitting algorithm for Electrochemical Impedance Spectroscopy (EIS) analysis in OriginPro, simplifying complex data interpretation and speeding up the process for electrode-electrolyte interface characterization.

Keywords:
EISPowell algorithmfitting algorithmgradient descent

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Area of Science:

  • Electrochemistry
  • Materials Science
  • Data Analysis

Background:

  • Electrochemical Impedance Spectroscopy (EIS) is crucial for electrode-electrolyte interface characterization.
  • EIS data analysis is often complex and time-consuming.
  • Current methods may involve tedious data import/export procedures.

Purpose of the Study:

  • To develop and implement a C-based fitting algorithm within OriginPro software.
  • To automate and accelerate the analysis of EIS data.
  • To explore the use of custom error functions for improved accuracy.

Main Methods:

  • Implementation of a C language fitting algorithm in OriginPro.
  • Development of an automated initial parameter assignment for simple equivalent circuits.
  • Testing the algorithm with custom error functions against reference software.
  • Validation using two distinct experimental case studies.

Main Results:

  • The developed algorithm significantly speeds up EIS data analysis.
  • It streamlines the workflow by eliminating data import/export steps.
  • Results obtained using custom error functions are comparable to established software.
  • The algorithm proved effective across two different experimental scenarios.

Conclusions:

  • The implemented C-based algorithm offers an efficient and user-friendly solution for EIS analysis.
  • Automation and the use of custom error functions enhance the speed and reliability of EIS data interpretation.
  • This approach provides a valuable tool for researchers characterizing electrode-electrolyte interfaces.