ArticleAdvanced materials technologies2026
An Empirical Model of Ion-Selective Organic Electrochemical Transistors.
Article in Advanced materials technologies, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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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.
The trial behind it
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Who cites it
2 citing papers in PubMed.
- Electrochemical Biosensing Strategies for Oral Health: From Engineered Interfaces to Advanced Transistor Architectures.Advanced healthcare materials · 2026Review
- From Single-Ion to Integrated Multi-Ion Platforms: Wearable Sweat Sensors for Electrolyte Monitoring.Biosensors · 2026Review
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Authors and funding
5 authors.
Funding
Abstract
Frequent monitoring of body fluids such as blood, sweat, saliva, and urine is essential for the early detection of various diseases. lon-selective organic electrochemical transistors (IS-OECTs) offer a low-cost, highly sensitive, and easily fabricated platform for detecting ion concentration changes. Their inherent flexibility and biocompatibility make them well-suited for integration into wearable systems for continuous, point-of-care health monitoring. However, optimizing IS-OECT design and circuit performance requires accurate modeling of their concentration-dependent behavior, which is complicated by complex electrochemical interactions and charge transport dynamics. In this work, it introduces an empirical model that extends the Friedlein framework to incorporate ion concentration effects, enabling accurate prediction of steady-state device characteristics in the presence of both target and interfering ions. Validation of this model with IS-OECTs fabricated to detect ammonium (NH
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Registered trials
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