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A method for quantitatively separating the piezoelectric component from the as-received “Piezoelectric” signal

Author

Listed:
  • Chaojie Chen

    (Tsinghua University)

  • Shilong Zhao

    (Tsinghua University)

  • Caofeng Pan

    (Chinese Academy of Sciences)

  • Yunlong Zi

    (The Chinese University of Hong Kong Shatin, N.T.)

  • Fangcheng Wang

    (Tsinghua University)

  • Cheng Yang

    (Tsinghua University)

  • Zhong Lin Wang

    (Chinese Academy of Sciences
    Georgia Institute of Technology)

Abstract

Polymer-based piezoelectric devices are promising for developing future wearable force sensors, nanogenerators, and implantable electronics, etc. The electric signals generated by them are often assumed as solely coming from the piezoelectric effect. However, triboelectric signals originated from contact electrification between the piezoelectric devices and the contacted objects can produce non-negligible interfacial electron transfer, which is often combined with the piezoelectric signal to give a triboelectric-piezoelectric hybrid output, leading to an exaggerated measured “piezoelectric” signal. Herein, a simple and effective method is proposed for quantitatively identifying and extracting the piezoelectric charge from the hybrid signal. The triboelectric and piezoelectric parts in the hybrid signal generated by a poly(vinylidene fluoride)-based device are clearly differentiated, and their force and charge characteristics in the time domain are identified. This work presents an effective method to elucidate the true piezoelectric performance in practical measurement, which is crucial for evaluating piezoelectric materials fairly and correctly.

Suggested Citation

  • Chaojie Chen & Shilong Zhao & Caofeng Pan & Yunlong Zi & Fangcheng Wang & Cheng Yang & Zhong Lin Wang, 2022. "A method for quantitatively separating the piezoelectric component from the as-received “Piezoelectric” signal," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-29087-w
    DOI: 10.1038/s41467-022-29087-w
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    References listed on IDEAS

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    1. Wanghuai Xu & Huanxi Zheng & Yuan Liu & Xiaofeng Zhou & Chao Zhang & Yuxin Song & Xu Deng & Michael Leung & Zhengbao Yang & Ronald X. Xu & Zhong Lin Wang & Xiao Cheng Zeng & Zuankai Wang, 2020. "A droplet-based electricity generator with high instantaneous power density," Nature, Nature, vol. 578(7795), pages 392-396, February.
    2. Li Long & Wenlin Liu & Zhao Wang & Wencong He & Gui Li & Qian Tang & Hengyu Guo & Xianjie Pu & Yike Liu & Chenguo Hu, 2021. "High performance floating self-excited sliding triboelectric nanogenerator for micro mechanical energy harvesting," Nature Communications, Nature, vol. 12(1), pages 1-10, December.
    3. 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.
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