ArticleBiosensors2024
Electrochemical Impedance Spectroscopy for Ion Sensors with Interdigitated Electrodes: Capacitance Calculations, Equivalent Circuit Models and Design Optimizations.
Article in Biosensors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Review
- Machine-Learning-Enabled Hydrogel Biosensors for Wearable Health Monitoring.Gels (Basel, Switzerland) · 2026Review
- Electrochemical Biosensing Platforms for Rapid and Early Diagnosis of Crop Fungal and Viral Diseases.Sensors (Basel, Switzerland) · 2026Review
- Development of an impedimetric aptasensor for Shiga-like toxin 1 using a DNA aptamer and an interdigitated microelectrode.RSC advances · 2026Article
- Photocurable Nanocellulose-Based Hydrogel for Real-Time Electrochemical Sweat Monitoring in Smart Textiles.Langmuir : the ACS journal of surfaces and colloids · 2025Article
- Ion sensing based on frequency-dependent physico-chemical processes at electrode/electrolyte interfaces.Nature communications · 2025Article
- Sustainable valorisation of wastewater sludge into activated carbon for permanganate adsorption and reuse in supercapacitors.RSC advances · 2025Article
- Feasibility Study of a Non-Contact Differentiation of Cannabidiol Concentrations Using Interdigital Electrodes.ACS omega · 2024Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Electrochemical impedance spectroscopy (EIS) is becoming more and more relevant for the characterization of biosensors employing interdigitated electrodes. We compare four different sensor topologies for an exemplary use case of ion sensing to extract recommendations for the design optimizations of impedimetric biosensors. Therefore, we first extract how sensor design parameters affect the sensor capacitance using analytical calculations and finite element (FEM) simulations. Moreover, we develop equivalent circuit models for our sensor topologies and validate them using FEM simulations. As a result, the impedimetric sensor response is better understood, and sensitive and selective frequency ranges can be determined for a given sensor topology. From this, we extract design optimizations for different sensing principles.
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Registered trials
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