Ultrathin Stretchable Triboelectric Nanogenerators Improved by Postcharging Electrode Material
Weiyi Zhang1,2, Qiang Liu1, Shengyu Chao2,3
1School of Microelectronics, Tianjin University, No. 92 Weijin Road, Tianjin 300072, People's Republic of China.
ACS Applied Materials & Interfaces
|September 2, 2021
Summary
A novel ultrathin stretchable triboelectric nanogenerator (TENG) utilizes a carbon black/thermoplastic polyurethane composite for efficient mechanical energy harvesting and physiological sensing in wearable electronics.
Area of Science:
- Materials Science
- Nanotechnology
- Wearable Electronics
Background:
- Wearable electronics require sustainable power sources capable of harvesting energy from the environment.
- Existing power sources often lack the necessary stretchability, thinness, and efficiency for seamless integration with the human body.
Purpose of the Study:
- To develop an ultrathin, stretchable triboelectric nanogenerator (TENG) for mechanical energy harvesting and physiological signal sensing.
- To enhance the performance of the TENG through a novel composite material and post-charging treatment.
Main Methods:
- Fabrication of a composite material using carbon black (CB) and thermoplastic polyurethane (TPU) for stretchable electrodes and triboelectric layers.
- Characterization of the composite material's properties, including stretchability, thickness, and weight.
- Implementation of a corona charging process to improve the TENG's output performance.
- Testing the TENG's capability for self-powered physiological movement sensing.
Main Results:
- The developed ultrathin stretchable TENG (CT-TENG) exhibits remarkable stretchability (≈646%), ultrathin thickness (≈50 μm), and light weight (≈62 mg).
- Post-charging treatment significantly enhanced the output performance, achieving an eightfold improvement and reaching 41 V.
- The CT-TENG demonstrated effective self-powered sensing of physiological movement amplitude and frequency.
Conclusions:
- The CT-TENG, based on a chargeable CB/TPU composite, offers a promising solution for sustainable power generation in wearable devices.
- This technology holds potential for advancements in electronic skins, self-powered sensors, human-machine interfaces, soft robotics, and artificial intelligence.


