LC wireless passive flexible pressure sensor formulated with a microstructured ionogel

With the rapid development of the Internet of Things technology, wireless sensor networks have demonstrated prominent application value in industrial monitoring, environmental monitoring, and intelligent transportation. Traditional pressure sensors suffer from drawbacks such as inconvenient maintenance and limited service life, whereas the inductance–capacitance (LC) resonant wireless sensing architecture can effectively address these problems. Relying on a high-frequency structure simulation, this study optimized the structural parameters of the devices, integrated microstructured-ionogel dielectric with LC oscillator resonant units, and fabricated passive wireless pressure sensors. The ionic gel deforms under an external force, and the pressure variation is converted into a resonant frequency drift of the circuit via the double-capacitance effect generated by electric double-layer polarization, realizing non-contact wireless signal acquisition based on backscatter signals. The as-fabricated wireless pressure sensors achieved sensitivities of 3194 and 239.8 kHz·kPa−1 in the low-pressure (0–20 kPa) and high-pressure (20–166 kPa) ranges, respectively. Quantitative experiments for hysteresis error, long-cycle durability, and environmental adaptability tests under variable temperature and humidity conditions verified the operational reliability of the device. Owing to its outstanding flexibility and signal repeatability, this sensor can find application in wearable physiological signal monitoring, facial microexpression recognition, and clinical medical detection.

Authors

Institutions

Publication Details

Journal
Instrumentation Science & Technology
Published
2026-07-30
DOI
https://doi.org/10.1080/10739149.2026.2705444
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

LC wireless passive flexible pressure sensor formulated with a microstructured ionogel

Zhiling Li, Hairong Kou, Lijuan Miao
Instrumentation Science & Technology
Advanced Sensor and Energy Harvesting Materials
article

LC wireless passive flexible pressure sensor formulated with a microstructured ionogel

Zhiling Li, Hairong Kou, Lijuan Miao
article en

Abstract

With the rapid development of the Internet of Things technology, wireless sensor networks have demonstrated prominent application value in industrial monitoring, environmental monitoring, and intelligent transportation. Traditional pressure sensors suffer from drawbacks such as inconvenient maintenance and limited service life, whereas the inductance–capacitance (LC) resonant wireless sensing architecture can effectively address these problems. Relying on a high-frequency structure simulation, this study optimized the structural parameters of the devices, integrated microstructured-ionogel dielectric with LC oscillator resonant units, and fabricated passive wireless pressure sensors. The ionic gel deforms under an external force, and the pressure variation is converted into a resonant frequency drift of the circuit via the double-capacitance effect generated by electric double-layer polarization, realizing non-contact wireless signal acquisition based on backscatter signals. The as-fabricated wireless pressure sensors achieved sensitivities of 3194 and 239.8 kHz·kPa−1 in the low-pressure (0–20 kPa) and high-pressure (20–166 kPa) ranges, respectively. Quantitative experiments for hysteresis error, long-cycle durability, and environmental adaptability tests under variable temperature and humidity conditions verified the operational reliability of the device. Owing to its outstanding flexibility and signal repeatability, this sensor can find application in wearable physiological signal monitoring, facial microexpression recognition, and clinical medical detection.

Instrumentation Science & Technology
Shanxi University (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 17%
Advanced Sensor and Energy Harvesting Materials
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.