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Quantifying the triboelectric series

Author

Listed:
  • Haiyang Zou

    (School of Materials Science and Engineering, Georgia Institute of Technology)

  • Ying Zhang

    (School of Materials Science and Engineering, Georgia Institute of Technology
    Xi’an Jiaotong University)

  • Litong Guo

    (School of Materials Science and Engineering, Georgia Institute of Technology
    China University of Mining and Technology)

  • Peihong Wang

    (School of Materials Science and Engineering, Georgia Institute of Technology)

  • Xu He

    (School of Materials Science and Engineering, Georgia Institute of Technology)

  • Guozhang Dai

    (School of Materials Science and Engineering, Georgia Institute of Technology)

  • Haiwu Zheng

    (School of Materials Science and Engineering, Georgia Institute of Technology)

  • Chaoyu Chen

    (School of Materials Science and Engineering, Georgia Institute of Technology)

  • Aurelia Chi Wang

    (School of Materials Science and Engineering, Georgia Institute of Technology)

  • Cheng Xu

    (School of Materials Science and Engineering, Georgia Institute of Technology
    China University of Mining and Technology)

  • Zhong Lin Wang

    (School of Materials Science and Engineering, Georgia Institute of Technology
    Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences)

Abstract

Triboelectrification is a well-known phenomenon that commonly occurs in nature and in our lives at any time and any place. Although each and every material exhibits triboelectrification, its quantification has not been standardized. A triboelectric series has been qualitatively ranked with regards to triboelectric polarization. Here, we introduce a universal standard method to quantify the triboelectric series for a wide range of polymers, establishing quantitative triboelectrification as a fundamental materials property. By measuring the tested materials with a liquid metal in an environment under well-defined conditions, the proposed method standardizes the experimental set up for uniformly quantifying the surface triboelectrification of general materials. The normalized triboelectric charge density is derived to reveal the intrinsic character of polymers for gaining or losing electrons. This quantitative triboelectric series may serve as a textbook standard for implementing the application of triboelectrification for energy harvesting and self-powered sensing.

Suggested Citation

  • Haiyang Zou & Ying Zhang & Litong Guo & Peihong Wang & Xu He & Guozhang Dai & Haiwu Zheng & Chaoyu Chen & Aurelia Chi Wang & Cheng Xu & Zhong Lin Wang, 2019. "Quantifying the triboelectric series," Nature Communications, Nature, vol. 10(1), pages 1-9, December.
    • Handle: RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-09461-x
    DOI: 10.1038/s41467-019-09461-x
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    Cited by:

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    4. Yikui Gao & Lixia He & Di Liu & Jiayue Zhang & Linglin Zhou & Zhong Lin Wang & Jie Wang, 2024. "Spontaneously established reverse electric field to enhance the performance of triboelectric nanogenerators via improving Coulombic efficiency," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
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    8. Massimo Mariello & Elisa Scarpa & Luciana Algieri & Francesco Guido & Vincenzo Mariano Mastronardi & Antonio Qualtieri & Massimo De Vittorio, 2020. "Novel Flexible Triboelectric Nanogenerator based on Metallized Porous PDMS and Parylene C," Energies, MDPI, vol. 13(7), pages 1-12, April.
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    12. Thanh Ha Nguyen & Kyoung Kwan Ahn, 2023. "The Effect of a Magnetic Field on Solid–Liquid Contact Electrification for Streaming Flow Energy Harvesting," Energies, MDPI, vol. 16(12), pages 1-11, June.
    13. Yawei Wang & Hengxu Du & Hengyi Yang & Ziyue Xi & Cong Zhao & Zian Qian & Xinyuan Chuai & Xuzhang Peng & Hongyong Yu & Yu Zhang & Xin Li & Guobiao Hu & Hao Wang & Minyi Xu, 2024. "A rolling-mode triboelectric nanogenerator with multi-tunnel grating electrodes and opposite-charge-enhancement for wave energy harvesting," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
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    17. Di Liu & Linglin Zhou & Shengnan Cui & Yikui Gao & Shaoxin Li & Zhihao Zhao & Zhiying Yi & Haiyang Zou & Youjun Fan & Jie Wang & Zhong Lin Wang, 2022. "Standardized measurement of dielectric materials’ intrinsic triboelectric charge density through the suppression of air breakdown," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
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    19. Jianxiong Zhu & Shanling Ji & Zhihao Ren & Wenyu Wu & Zhihao Zhang & Zhonghua Ni & Lei Liu & Zhisheng Zhang & Aiguo Song & Chengkuo Lee, 2023. "Triboelectric-induced ion mobility for artificial intelligence-enhanced mid-infrared gas spectroscopy," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
    20. Jiayue Zhang & Yikui Gao & Di Liu & Jing-Shan Zhao & Jie Wang, 2023. "Discharge domains regulation and dynamic processes of direct-current triboelectric nanogenerator," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    21. Hu, Yanqiang & Wang, Xiaoli & Qin, Yechen & Li, Zhihao & Wang, Chenfei & Wu, Heng, 2022. "A robust hybrid generator for harvesting vehicle suspension vibration energy from random road excitation," Applied Energy, Elsevier, vol. 309(C).
    22. Cai, Rong-Rong & Zhang, Li-Zhi, 2023. "Progress and perspective of polymer electret-based PM2.5 filtration: Efficiencies, regeneration, and energy implications," Energy, Elsevier, vol. 283(C).
    23. Li, Yanhong & Guo, Ziting & Zhao, Zhihao & Gao, Yikui & Yang, Peiyuan & Qiao, Wenyan & Zhou, Linglin & Wang, Jie & Wang, Zhong Lin, 2023. "Multi-layered triboelectric nanogenerator incorporated with self-charge excitation for efficient water wave energy harvesting," Applied Energy, Elsevier, vol. 336(C).
    24. Li, Xiang & Cao, Yuying & Yu, Xin & Xu, Yuhong & Yang, Yanfei & Liu, Shiming & Cheng, Tinghai & Wang, Zhong Lin, 2022. "Breeze-driven triboelectric nanogenerator for wind energy harvesting and application in smart agriculture," Applied Energy, Elsevier, vol. 306(PA).
    25. Mengjiao Li & Hong-Wei Lu & Shu-Wei Wang & Rei-Ping Li & Jiann-Yeu Chen & Wen-Shuo Chuang & Feng-Shou Yang & Yen-Fu Lin & Chih-Yen Chen & Ying-Chih Lai, 2022. "Filling the gap between topological insulator nanomaterials and triboelectric nanogenerators," Nature Communications, Nature, vol. 13(1), pages 1-11, December.

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