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High-sensitivity acoustic sensors from nanofibre webs

Author

Listed:
  • Chenhong Lang

    (College of Textiles, Donghua University
    Institute for Frontier Materials, Deakin University)

  • Jian Fang

    (Institute for Frontier Materials, Deakin University)

  • Hao Shao

    (Institute for Frontier Materials, Deakin University)

  • Xin Ding

    (College of Textiles, Donghua University)

  • Tong Lin

    (Institute for Frontier Materials, Deakin University)

Abstract

Considerable interest has been devoted to converting mechanical energy into electricity using polymer nanofibres. In particular, piezoelectric nanofibres produced by electrospinning have shown remarkable mechanical energy-to-electricity conversion ability. However, there is little data for the acoustic-to-electric conversion of electrospun nanofibres. Here we show that electrospun piezoelectric nanofibre webs have a strong acoustic-to-electric conversion ability. Using poly(vinylidene fluoride) as a model polymer and a sensor device that transfers sound directly to the nanofibre layer, we show that the sensor devices can detect low-frequency sound with a sensitivity as high as 266 mV Pa−1. They can precisely distinguish sound waves in low to middle frequency region. These features make them especially suitable for noise detection. Our nanofibre device has more than five times higher sensitivity than a commercial piezoelectric poly(vinylidene fluoride) film device. Electrospun piezoelectric nanofibres may be useful for developing high-performance acoustic sensors.

Suggested Citation

  • Chenhong Lang & Jian Fang & Hao Shao & Xin Ding & Tong Lin, 2016. "High-sensitivity acoustic sensors from nanofibre webs," Nature Communications, Nature, vol. 7(1), pages 1-7, September.
    • Handle: RePEc:nat:natcom:v:7:y:2016:i:1:d:10.1038_ncomms11108
    DOI: 10.1038/ncomms11108
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    Cited by:

    1. Fariha Rubaiya & Swati Mohan & Bhupendra B. Srivastava & Horacio Vasquez & Karen Lozano, 2021. "Piezoelectric Properties of PVDF-Zn 2 GeO 4 Fine Fiber Mats," Energies, MDPI, vol. 14(18), pages 1-15, September.
    2. Chong Li & Xinxin Liao & Zhi-Ke Peng & Guang Meng & Qingbo He, 2023. "Highly sensitive and broadband meta-mechanoreceptor via mechanical frequency-division multiplexing," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    3. Jinhui Zhang & Haimin Yao & Jiaying Mo & Songyue Chen & Yu Xie & Shenglin Ma & Rui Chen & Tao Luo & Weisong Ling & Lifeng Qin & Zuankai Wang & Wei Zhou, 2022. "Finger-inspired rigid-soft hybrid tactile sensor with superior sensitivity at high frequency," Nature Communications, Nature, vol. 13(1), pages 1-9, December.

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