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Advanced Materials for Sensing Application

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Materials".

Deadline for manuscript submissions: 30 April 2026 | Viewed by 105

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Department of Chemical and Biochemical Engineering, Dongguk University, Seoul 04620, Republic of Korea
Interests: materials; processes; designs and characterizations for flexible display and devices and printed electronics and devices; synthesis and application of nanomaterials; semiconductor materials; processes and devices; sensors on fiber; smart fabrics; supercapacitor; hydrogen storage materials
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Special Issue Information

Dear Colleagues,

This Special Issue “Advanced Materials for Sensing Application” aims to push the boundaries of current sensor technology. We seek cutting-edge research on novel materials that offer higher sensitivity, smaller form factors, and multifunctional capabilities. We hope to foster interdisciplinary collaboration and accelerate the development of next-generation sensors for diverse fields, including healthcare, environmental monitoring, and the IoT. This Special Issue’s scope encompasses nanomaterials, composites, smart textiles, and other innovative material systems.

Prof. Dr. Jeong In Han
Guest Editor

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Keywords

  • advanced materials: nanomaterials, 2D materials (e.g., graphene), functional polymers, composites, smart textiles, metamaterials
  • sensing technologies: biosensors, chemical sensors, gas sensors, strain sensors, pressure sensors, temperature sensors, electrochemical sensors, optical sensors
  • performance metrics: high sensitivity, high selectivity, miniaturization, flexibility, stretchability, wearable
  • applications: IoT (Internet of Things), wearable electronics, E-skin, environmental monitoring, healthcare, point-of-care diagnostics

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Published Papers (1 paper)

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Research

24 pages, 6795 KB  
Article
The Analytical Solutions to a Cation–Water Coupled Multiphysics Model of IPMC Sensors
by Kosetsu Ishikawa, Kinji Asaka, Zicai Zhu, Toshiki Hiruta and Kentaro Takagi
Sensors 2026, 26(2), 695; https://doi.org/10.3390/s26020695 - 20 Jan 2026
Abstract
Ionic polymer–metal composite (IPMC) sensors generate voltages or currents when subjected to deformation. The magnitude and time constant of the electrical response vary significantly with ambient humidity and water content. However, most conventional physical models focus solely on cation dynamics and do not [...] Read more.
Ionic polymer–metal composite (IPMC) sensors generate voltages or currents when subjected to deformation. The magnitude and time constant of the electrical response vary significantly with ambient humidity and water content. However, most conventional physical models focus solely on cation dynamics and do not consider water dynamics. In addition to cation dynamics, Zhu’s model explicitly incorporates the dynamics of water. Consequently, Zhu’s model is considered one of the most promising approaches for physical modeling of IPMC sensors. This paper presents exact analytical solutions to Zhu’s model of IPMC sensors for the first time. The derivation method transforms Zhu’s model into the frequency domain using Laplace transform-based analysis linear approximation together with linear approximation, and subsequently solves it as a boundary value problem of a set of linear ordinary differential equations. The resulting solution is expressed as a transfer function. The input variable is the applied bending deformation, and the output variables include the open-circuit voltage or short-circuit current at the sensor terminals, as well as the distributions of cations, water molecules, and electric potential within the polymer. The obtained transfer functions are represented by irrational functions, which typically arise as solutions to a system of partial differential equations. Furthermore, this paper presents analytical approximations of the step response of the sensor voltage or current by approximating the obtained transfer functions. The steady-state and maximum values of the time response are derived from these analytical approximations. Additionally, the relaxation behavior of the sensor voltage is characterized by a key parameter newly derived from the analytical approximation presented in this paper. Full article
(This article belongs to the Special Issue Advanced Materials for Sensing Application)
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