High-Sensitivity ZnS:Cu Piezoresistive Sensor for Underwater Visual Sensing
Shasha Yang1,2, Jing Liu1,2, Yu Wang1,2
1College of Materials Science and Engineering, North University of China, Taiyuan 030051, PR China.
ACS Applied Materials & Interfaces
|April 9, 2025
Summary
Researchers developed a novel flexible wearable sensor using carbon nanotubes and graphite with nanoluminescent materials. This sensor offers stable luminescence and high sensitivity for reliable signal detection and gesture recognition in low light.
Area of Science:
- Materials Science
- Wearable Technology
- Sensor Development
Background:
- Flexible wearable sensors are crucial for human motion monitoring and human-computer interaction.
- Designing sensitive, multifunctional sensors for complex environments remains a significant challenge.
Purpose of the Study:
- To develop a multifunctional composite sensor with visual feedback and reliable signal detection capabilities.
- To address the limitations of current sensors in complex and low-light scenarios.
Main Methods:
- A multilayer sensor design combining multiwalled carbon nanotubes (MWCNTs) and graphite (GP) with ZnS:Cu nanoluminescent materials.
- Material optimization to enhance luminescence stability and sensor sensitivity.
- Development of a low-light gesture recognition system and application to unmanned vehicle control.
Main Results:
- Achieved stable luminescence (90% of initial after 300 cycles) and high sensitivity (gauge factor of 13.65).
- Successfully demonstrated a low-light gesture recognition system and its application in unmanned vehicle control.
- Validated the sensor's potential for real-time sensing in deep-sea exploration, rescue, and underwater communication.
Conclusions:
- The developed multifunctional composite sensor offers a promising solution for reliable signal detection and gesture recognition in challenging low-light conditions.
- The sensor's durability, luminescence, and sensitivity pave the way for advanced wearable devices and applications.
- This technology holds significant potential for diverse fields including robotics, exploration, and communication.


