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Sensing and memorising liquids with polarity-interactive ferroelectric sound

Author

Listed:
  • Jong Sung Kim

    (Yonsei University)

  • Eui Hyuk Kim

    (Yonsei University)

  • Chanho Park

    (Yonsei University)

  • Gwangmook Kim

    (Yonsei University)

  • Beomjin Jeong

    (Yonsei University)

  • Kang Lib Kim

    (Yonsei University)

  • Seung Won Lee

    (Yonsei University)

  • Ihn Hwang

    (Yonsei University)

  • Hyowon Han

    (Yonsei University)

  • Seokyeong Lee

    (Yonsei University)

  • Wooyoung Shim

    (Yonsei University)

  • June Huh

    (Korea University)

  • Cheolmin Park

    (Yonsei University)

Abstract

The direct sensing and storing of the information of liquids with different polarities are of significant interest, in particular, through means related to human senses for emerging biomedical applications. Here, we present an interactive platform capable of sensing and storing the information of liquids. Our platform utilises sound arising from liquid-interactive ferroelectric actuation, which is dependent upon the polarity of the liquid. Liquid-interactive sound is developed when a liquid is placed on a ferroelectric polymer layer across two in-plane electrodes under an alternating current field. As the sound is correlated with non-volatile remnant polarisation of the ferroelectric layer, the information is stored and retrieved after the liquid is removed, resulting in a sensing memory of the liquid. Our pad-type allows for identifying the position of a liquid. Flexible tube-type devices offer a route for in situ analysis of flowing liquids including a human serum liquid in terms of sound.

Suggested Citation

  • Jong Sung Kim & Eui Hyuk Kim & Chanho Park & Gwangmook Kim & Beomjin Jeong & Kang Lib Kim & Seung Won Lee & Ihn Hwang & Hyowon Han & Seokyeong Lee & Wooyoung Shim & June Huh & Cheolmin Park, 2019. "Sensing and memorising liquids with polarity-interactive ferroelectric sound," Nature Communications, Nature, vol. 10(1), pages 1-12, December.
    • Handle: RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-11478-1
    DOI: 10.1038/s41467-019-11478-1
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    Cited by:

    1. Yaqian Liu & Di Liu & Changsong Gao & Xianghong Zhang & Rengjian Yu & Xiumei Wang & Enlong Li & Yuanyuan Hu & Tailiang Guo & Huipeng Chen, 2022. "Self-powered high-sensitivity all-in-one vertical tribo-transistor device for multi-sensing-memory-computing," Nature Communications, Nature, vol. 13(1), pages 1-11, December.

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