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Improved Pressure Sensing Performance of Self-Powered Electrochemical Pressure Sensor Using a Simple Electrode
Yixue Han1, Zaihua Duan1, Yi Wang1
1State Key Laboratory of Electronic Thin Films and Integrated Devices, School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu 611731, China.
Sensors (Basel, Switzerland)
|January 28, 2026
Summary
A novel electrochemical pressure (ECP) sensor with a simple coplanar electrode structure offers improved performance. This self-powered sensor detects pressure from 0.4-100 kPa, showing potential for applications like respiratory monitoring.
Area of Science:
- Materials Science
- Electrochemistry
- Sensor Technology
Background:
- Electrochemical pressure (ECP) sensors are gaining attention for self-powered dynamic and static pressure detection.
- Conventional sandwich-structured ECP sensors face limitations in thickness and performance.
- There is a need for high-performance ECP sensors with simpler structures.
Purpose of the Study:
- To develop a novel ECP sensor with a simple coplanar electrode structure.
- To enhance pressure sensing performance, including sensitivity and response range.
- To investigate the pressure sensing mechanism and explore potential applications.
Main Methods:
- Fabrication of an ECP sensor using Cu/Zn coplanar electrodes and LiCl/polyvinyl alcohol (PVA) modified filter paper.
- Characterization of the sensor's current response under varying pressure conditions (0.4-100 kPa).
- Analysis of morphological features and redox reactions to elucidate the sensing mechanism.
Main Results:
- The proposed coplanar ECP sensor exhibits self-powered current output across a wide pressure range (0.4-100 kPa).
- Achieved sensitivities of 0.273 kPa-1 (0.6-20 kPa) and 0.036 kPa-1 (20-100 kPa).
- Demonstrated a wider response range and higher sensitivity compared to traditional sandwich-structured ECP sensors.
Conclusions:
- The coplanar electrode structure offers a new approach for high-performance ECP sensors.
- The sensor's mechanism is based on redox reactions facilitated by LiCl/PVA on filter paper.
- The ECP sensor shows promise for applications such as respiratory state recognition using machine learning.
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