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High-Performance Three-Dimensional Go-Frame Electrode Design for Capacitive Humidity Sensors in Real-Time Human Respiration Monitoring

Authors
Song, SaegyoungKim, Woo JongSeo, JeongwooKim, Dong IlSim, ByeongchanLee, HuiguKim, MinjuHong, Jin Pyo
Issue Date
Jun-2025
Publisher
JOHN WILEY & SONS INC
Keywords
3D electrodes; environmental monitoring; go-frame sensor; humidity sensors; sensitivity improvement
Citation
ADVANCED MATERIALS TECHNOLOGIES, v.10, no.11, pp 1 - 8
Pages
8
Indexed
SCIE
SCOPUS
Journal Title
ADVANCED MATERIALS TECHNOLOGIES
Volume
10
Number
11
Start Page
1
End Page
8
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/210553
DOI
10.1002/admt.202401976
ISSN
2365-709X
2365-709X
Abstract
The increasing need of environmental and physiological monitoring propels the development of humidity sensors, especially for applications aimed at personal health detection. Among the various types of humidity sensors, capacitive humidity sensors are particularly noted for their rapid response, low power consumption, and high sensitivity. However, conventional capacitive humidity sensors, including widely used planar interdigitated electrodes (IDE) and parallel plate (PP) structures, face challenges with achieving high sensitivity and producing stable output signals. Thus, this work introduces a novel 3D electrode configuration called the "Go-frame (GF)," designed to surmount these limitations by enhancing linearity, sensitivity, and stability. The GF humidity sensor consists of a pin structure on the bottom electrode, which is coated with a sensing material, and capped with a grid-shaped top electrode. The experimental findings demonstrate that the GF humidity sensor outperforms both IDE and PP structures, achieving a sensitivity of 65.27 fF/%RH, low hysteresis of 4.06%, and enhanced signal stability. Additionally, the 3D-structured humidity sensor exhibits high repeatability and long-term stability over a week. This advancement in electrode design represents a significant innovation in capacitive humidity sensing technology, promising widespread adoption in critical applications, including real-time human respiration monitoring.
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