Evidence map›Paper›PMID 39599041›Full record

ArticleSensors (Basel, Switzerland)2024

Modeling Electrochemical Impedance Spectroscopy Using Time-Dependent Finite Element Method.

Yawar Abbas, Laura van Smeden, Alwin R M Verschueren, Marcel A G Zevenbergen, Jos F M Oudenhoven

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Yawar Abbasimec at Holst Centre, 5656 AE Eindhoven, The Netherlands.ORCID 0000-0003-0380-1316
Laura van Smedenimec at Holst Centre, 5656 AE Eindhoven, The Netherlands.ORCID 0000-0002-1814-3427
Alwin R M Verschuerenimec at Holst Centre, 5656 AE Eindhoven, The Netherlands.ORCID 0000-0002-5943-6963
Marcel A G Zevenbergenimec at Holst Centre, 5656 AE Eindhoven, The Netherlands.ORCID 0000-0002-9711-0286
Jos F M Oudenhovenimec at Holst Centre, 5656 AE Eindhoven, The Netherlands.ORCID 0000-0001-9824-3542

Funding

Dutch National Growth Fund NXTGEN HighTech
6 · The paper itself

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.

Indexed as

COMSOL modelelectrochemical impedance spectroscopyfinite element methodsimulationstime-dependent analysis

Identifiers

PMID39599041
PMCPMC11597960

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.