IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v10y2019i1d10.1038_s41467-019-11973-5.html
   My bibliography  Save this article

A bioinspired hydrogen bond-triggered ultrasensitive ionic mechanoreceptor skin

Author

Listed:
  • Vipin Amoli

    (Hanyang University)

  • Joo Sung Kim

    (Hanyang University)

  • Eunsong Jee

    (Hanyang University)

  • Yoon Sun Chung

    (Hanyang University)

  • So Young Kim

    (Hanyang University)

  • Jehyoung Koo

    (Hanyang University)

  • Hanbin Choi

    (Hanyang University)

  • Yunah Kim

    (Hanyang University)

  • Do Hwan Kim

    (Hanyang University)

Abstract

Biological cellular structures have inspired many scientific disciplines to design synthetic structures that can mimic their functions. Here, we closely emulate biological cellular structures in a rationally designed synthetic multicellular hybrid ion pump, composed of hydrogen-bonded [EMIM+][TFSI−] ion pairs on the surface of silica microstructures (artificial mechanoreceptor cells) embedded into thermoplastic polyurethane elastomeric matrix (artificial extracellular matrix), to fabricate ionic mechanoreceptor skins. Ionic mechanoreceptors engage in hydrogen bond-triggered reversible pumping of ions under external stimulus. Our ionic mechanoreceptor skin is ultrasensitive (48.1–5.77 kPa−1) over a wide spectrum of pressures (0–135 kPa) at an ultra-low voltage (1 mV) and demonstrates the ability to surpass pressure-sensing capabilities of various natural skin mechanoreceptors (i.e., Merkel cells, Meissner’s corpuscles, Pacinian corpuscles). We demonstrate a wearable drone microcontroller by integrating our ionic skin sensor array and flexible printed circuit board, which can control directions and speed simultaneously and selectively in aerial drone flight.

Suggested Citation

  • Vipin Amoli & Joo Sung Kim & Eunsong Jee & Yoon Sun Chung & So Young Kim & Jehyoung Koo & Hanbin Choi & Yunah Kim & Do Hwan Kim, 2019. "A bioinspired hydrogen bond-triggered ultrasensitive ionic mechanoreceptor skin," Nature Communications, Nature, vol. 10(1), pages 1-13, December.
    • Handle: RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-11973-5
    DOI: 10.1038/s41467-019-11973-5
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-019-11973-5
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1038/s41467-019-11973-5?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ningning Bai & Yiheng Xue & Shuiqing Chen & Lin Shi & Junli Shi & Yuan Zhang & Xingyu Hou & Yu Cheng & Kaixi Huang & Weidong Wang & Jin Zhang & Yuan Liu & Chuan Fei Guo, 2023. "A robotic sensory system with high spatiotemporal resolution for texture recognition," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    2. Elvis K. Boahen & Baohai Pan & Hyukmin Kweon & Joo Sung Kim & Hanbin Choi & Zhengyang Kong & Dong Jun Kim & Jin Zhu & Wu Bin Ying & Kyung Jin Lee & Do Hwan Kim, 2022. "Ultrafast, autonomous self-healable iontronic skin exhibiting piezo-ionic dynamics," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    3. Zhengyang Kong & Elvis K. Boahen & Dong Jun Kim & Fenglong Li & Joo Sung Kim & Hyukmin Kweon & So Young Kim & Hanbin Choi & Jin Zhu & Wu Ying & Do Hwan Kim, 2024. "Ultrafast underwater self-healing piezo-ionic elastomer via dynamic hydrophobic-hydrolytic domains," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    4. Yuan Zhang & Junlong Yang & Xingyu Hou & Gang Li & Liu Wang & Ningning Bai & Minkun Cai & Lingyu Zhao & Yan Wang & Jianming Zhang & Ke Chen & Xiang Wu & Canhui Yang & Yuan Dai & Zhengyou Zhang & Chuan, 2022. "Highly stable flexible pressure sensors with a quasi-homogeneous composition and interlinked interfaces," Nature Communications, Nature, vol. 13(1), pages 1-12, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-11973-5. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.