The DOI matches its Crossref record; 41 of the 41 references it cites were found in a registry or an index.
Stretchable Unsymmetrical Piezoelectric BaTiO3 Composite Hydrogel for Triboelectric Nanogenerators and Multimodal Sensors
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 BaTiO 3 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.
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Cites
Progress in triboelectric nanogenerators as a new energy technology and self-powered sensors
Wang, Z. L., Chen, J., & Lin, L. (2015) · Energy & Environmental Science · doi:10.1039/c5ee01532d · Cited by 2,174
Self-citationLiao, H., Guo, X., Wan, P., & Yu, G. (2019) · Advanced Functional Materials · doi:10.1002/adfm.201904507 · Cited by 828
Ye, Y., Zhang, Y., Chen, Y., Han, X., & Jiang, F. (2020) · Advanced Functional Materials · doi:10.1002/adfm.202003430 · Cited by 826
Self-citationLarge‐Area All‐Textile Pressure Sensors for Monitoring Human Motion and Physiological Signals
Liu, M., Pu, X., Jiang, C., Liu, T., Huang, X., Chen, L., Du, C., Sun, J., Hu, W., & Wang, Z. L. (2017) · Advanced Materials · doi:10.1002/adma.201703700 · Cited by 732
Self-citationAchieving ultrahigh triboelectric charge density for efficient energy harvesting
Wang, J., Wu, C., Dai, Y., Zhao, Z., Wang, A., Zhang, T., & Wang, Z. L. (2017) · Nature Communications · doi:10.1038/s41467-017-00131-4 · Cited by 724
Self-citationPiezocatalytic Tumor Therapy by Ultrasound‐Triggered and BaTiO3‐Mediated Piezoelectricity
Zhu, P., Chen, Y., & Shi, J. (2020) · Advanced Materials · doi:10.1002/adma.202001976 · Cited by 642
Stretchable and tough conductive hydrogels for flexible pressure and strain sensors
Wang, Z., Cong, Y., & Fu, J. (2020) · Journal of Materials Chemistry B · doi:10.1039/c9tb02570g · Cited by 607
Self-citation3D hybrid porous Mxene-sponge network and its application in piezoresistive sensor
Yue, Y., Liu, N., Liu, W., Li, M., Ma, Y., Luo, C., Wang, S., Rao, J., Hu, X., Su, J., et al. (2018) · Nano Energy · doi:10.1016/j.nanoen.2018.05.020 · Cited by 576
Self-citationEnergy Harvesters for Wearable and Stretchable Electronics: From Flexibility to Stretchability
Wu, H., Huang, Y., Xu, F., Duan, Y., & Yin, Z. (2016) · Advanced Materials · doi:10.1002/adma.201602251 · Cited by 520
Carbonized Cotton Fabric for High‐Performance Wearable Strain Sensors
Zhang, M., Wang, C., Wang, H., Jian, M., Hao, X., & Zhang, Y. (2017) · Advanced Functional Materials · doi:10.1002/adfm.201604795 · Cited by 515
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Cited by
Age of Flexible Electronics: Emerging Trends in Soft Multifunctional Sensors
Lee, J., Cho, K., & Kim, J. (2024) · Advanced Materials · doi:10.1002/adma.202310505 · Cited by 355
Metadata
- Authors
- Wang, Z., Liu, Z., Zhao, G., Zhang, Z., Zhao, X., Wan, X., Zhang, Y., Wang, Z. L., & Li, L.
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2022-01-11
- Volume
- 16
- Issue
- 1
- Pages
- 1661-1670
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- OpenAlex
- W4205236326
- Cited by
- 298
- References
- 41
- FWCI
- 17.41
- Type
- journal article
- Language
- en
- Open access
- closed
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- Wang, Z., Liu, Z., Zhao, G., Zhang, Z., Zhao, X., Wan, X., Zhang, Y., Wang, Z. L., & Li, L. (2022). Stretchable Unsymmetrical Piezoelectric BaTiO3 Composite Hydrogel for Triboelectric Nanogenerators and Multimodal Sensors. ACS Nano. https://doi.org/10.1021/acsnano.1c10678
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