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Updated: Sep 28, 2025

Strain Sensing Based on Multiscale Composite Materials Reinforced with Graphene Nanoplatelets
Published on: November 7, 2016
Highly Sensitive and Stretchable MXene/CNTs/TPU Composite Strain Sensor with Bilayer Conductive Structure for Human
Hui Dong1, Jingchao Sun2, Xingmin Liu1
1College of Material Science and Engineering, Shenyang Aerospace University, Shenyang 110136, China.
Researchers developed a novel wearable strain sensor using Ti3C2Tx MXene, carbon nanotubes (CNTs), and thermoplastic polyurethane (TPU). This advanced sensor achieves high sensitivity and a broad working range for effective human activity monitoring.
Area of Science:
- Materials Science
- Nanotechnology
- Wearable Technology
Background:
- Wearable strain sensors are crucial for human activity monitoring.
- A key challenge is balancing high sensitivity with a broad working range.
- Existing sensors often compromise one for the other, limiting universal application.
Purpose of the Study:
- To develop a wearable strain sensor with simultaneous high sensitivity and a broad working range.
- To utilize a bilayer-conductive structure for enhanced performance.
- To demonstrate the sensor's capability in monitoring diverse human movements.
Main Methods:
- Fabrication of a Ti3C2Tx MXene/carbon nanotubes (CNTs)/thermoplastic polyurethane (TPU) composite film via vacuum filtration.
- Utilizing a porous electrospun TPU mat as a skeleton.
- Designing a bilayer structure with a brittle upper layer and a flexible lower layer.
Main Results:
- The developed sensor exhibits a broad working range (up to 330%) and high sensitivity (maximum gauge factor of 2911).
- The sensor demonstrates superb long-term durability (2600 cycles at 50% strain).
- Synergistic effects between material components and hydrogen-bonding interactions contribute to performance.
Conclusions:
- The Ti3C2Tx MXene/CNTs/TPU strain sensor overcomes the sensitivity-range trade-off.
- The sensor is successfully applied for monitoring subtle (facial expressions, pulse) and large-scale (limb bending) human movements.
- This technology shows significant promise for advanced wearable devices and human-machine interaction.
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