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  5. Stretchable Unsymmetrical Piezoelectric BaTiO<sub>3</sub> Composite Hydrogel for Triboelectric Nanogenerators and Multimodal Sensors

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Article
en
2022

Stretchable Unsymmetrical Piezoelectric BaTiO<sub>3</sub> Composite Hydrogel for Triboelectric Nanogenerators and Multimodal Sensors

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en
2022
Vol 16 (1)
Vol. 16
DOI: 10.1021/acsnano.1c10678

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Zhong Lin Wang
Zhong Lin Wang

Beijing Institute of Technology

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Zhuo Wang
Zhirong Liu
Gengrui Zhao
+6 more

Abstract

Improving output performance of triboelectric nanogenerators (TENGs) is crucial for expanding their applications in smart devices, especially for flexible and wearable bioelectronics. In this study, we design and fabricate a flexible, stretchable, and highly transparent TENG based on an unsymmetrical PAM/BTO composite film, made of polyacrylamide (PAM) hydrogel and BaTiO3 nanocubes (BTO NCs, BTO), and the TENG performance can be tailored by adjusting the amount and distribution location of BTO. The stretchable hydrogel electrode could bear over 8 times stretching. By changing the content and distribution location of BTO in the unsymmetrical hydrogel film, the output of the fabricated TENGs could be improved, acting as pressure sensors with high sensitivity to distinguish a spectrum of forces (0.25-6 N) at the low frequency. The mechanism of the enhanced output performance of the PAM/BTO composite hydrogel-based TENG is discussed in detail. By integrating piezoresistive, piezoelectric, and triboelectric effects, the optimized TENG and piezoresistive sensors are used as multimodal biomechanical sensors for detecting the motions of human bodies, pressure, and curvature with high sensitivity.

How to cite this publication

Zhuo Wang, Zhirong Liu, Gengrui Zhao, Zichao Zhang, Xinyang Zhao, Xingyi Wan, Yalong Zhang, Zhong Lin Wang, Linlin Li (2022). Stretchable Unsymmetrical Piezoelectric BaTiO<sub>3</sub> Composite Hydrogel for Triboelectric Nanogenerators and Multimodal Sensors. , 16(1), DOI: https://doi.org/10.1021/acsnano.1c10678.

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Publication Details

Type

Article

Year

2022

Authors

9

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1021/acsnano.1c10678

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