ArticleSensors (Basel, Switzerland)2024
Modeling Electrochemical Impedance Spectroscopy Using Time-Dependent Finite Element Method.
Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Advancing non-faradaic impedance biosensors: sensitivity enhancement strategies using microfluidics, multiscale labeling, and CMOS technology.Microsystems & nanoengineering · 2026Review
- Development and Applications of Electrochemical Surface Plasmon Resonance (EC-SPR)-Based Sensors: A Review.Analytical chemistry · 2026Review
- Ion sensing based on frequency-dependent physico-chemical processes at electrode/electrolyte interfaces.Nature communications · 2025Article
- Modeling Electrochemical Impedance Spectroscopy Using Time-Dependent Finite Element Method.Sensors (Basel, Switzerland) · 2024Article
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Authors and funding
5 authors.
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Abstract
A time-dependent electrochemical impedance spectroscopy (EIS) model is presented using the finite element method (FEM) to simulate a 2D interdigitated electrode in an aqueous NaCl electrolyte. Developed in COMSOL Multiphysics, the model incorporates ion transport, electric field distribution, Stern layer effects, and electrode sheet resistance, governed by the Poisson and Nernst-Planck equations. This model can predict the transient current response to an applied excitation voltage, which gives information about the dynamics of the electrochemical system. The simulation results are compared with the experimental data, reproducing key features of the measurements. The transient current response indicates the need for multiple excitation cycles to stabilize the impedance measurement. At low frequencies (<1 kHz), the voltage drop at the Stern layer is significant, while at higher frequencies (>100 kHz), the voltage drop due to sheet resistance dominates. Moreover, the amplitude of the excitation voltage influences the EIS measurement, higher amplitudes (above 0.1 V) lead to non-linear impedance behavior, particularly at low ion concentrations. Discrepancies at low frequencies suggest that Faradaic processes may need to be incorporated for improved accuracy. Overall, this model provides quantitative insights for optimizing EIS sensor design and highlights critical factors for high-frequency and low-concentration conditions, laying the foundation for future biosensing applications with functionalized electrodes.
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Registered trials
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