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Updated: Aug 17, 2025

Sensitivity Enhancement of Soft Capacitive Pressure Sensors Using a Solvent Evaporation-Based Porosity Control Technique
Published on: March 24, 2023
Carbon Black/Multi-Walled Carbon Nanotube-Based, Highly Sensitive, Flexible Pressure Sensor
Jinxia Yuan1, Qiang Li2, Lifeng Ding1,3
1School of Chemical Engineering and Technology, North University of China, Taiyuan030051, PR China.
This study presents a low-cost, high-performance flexible piezoresistive pressure sensor using carbon black and carbon nanotubes in porous silicone. The sensor demonstrates excellent sensitivity, a wide detection range, and fast response for wearable applications.
Area of Science:
- Materials Science
- Nanotechnology
- Sensor Technology
Background:
- Flexible piezoresistive pressure sensors are crucial for wearable devices and AI.
- Developing cost-effective, high-performance sensors remains a significant challenge.
Purpose of the Study:
- To develop a low-cost, high-performance flexible piezoresistive pressure sensor.
- To investigate the synergistic effects of carbon black and multi-walled carbon nanotubes in a porous polymer matrix.
Main Methods:
- Fabrication of a flexible pressure sensor using porous polydimethylsiloxane embedded with carbon black (CB) and multi-walled carbon nanotubes (MWCNTs).
- Utilized COMSOL Multiphysics for simulation and experimental verification of sensor behavior.
- Investigated the impact of filler ratio, electrode shape, and electrode dimensions on sensor performance.
Main Results:
- Achieved high sensitivity (3.57 kPa-1), wide detection range (0-275 kPa), fast response (96 ms), and recovery (198 ms).
- Demonstrated good durability (3000 cycles) and flexibility.
- Successfully monitored human activities like finger bending and mouse clicking.
Conclusions:
- The developed sensor offers a simple, low-cost, and environmentally friendly fabrication process.
- The sensor shows significant potential for flexible wearable devices and human-activity recognition.
- The synergistic conductive network of CB/MWCNTs within the 3D porous structure is key to performance.
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