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Ultrasensitive mechanical crack-based sensor inspired by the spider sensory system

Author

Listed:
  • Daeshik Kang

    (Global Frontier Center for Multiscale Energy Systems, Seoul National University, Seoul 151-742, South Korea
    Seoul National University, Seoul 151-742, South Korea)

  • Peter V. Pikhitsa

    (Global Frontier Center for Multiscale Energy Systems, Seoul National University, Seoul 151-742, South Korea)

  • Yong Whan Choi

    (Global Frontier Center for Multiscale Energy Systems, Seoul National University, Seoul 151-742, South Korea)

  • Chanseok Lee

    (Global Frontier Center for Multiscale Energy Systems, Seoul National University, Seoul 151-742, South Korea)

  • Sung Soo Shin

    (Global Frontier Center for Multiscale Energy Systems, Seoul National University, Seoul 151-742, South Korea)

  • Linfeng Piao

    (Global Frontier Center for Multiscale Energy Systems, Seoul National University, Seoul 151-742, South Korea)

  • Byeonghak Park

    (Center for Neuroscience Imaging Research (CNIR), Institute for Basic Science (IBS), Suwon 440-746, South Korea
    School of Chemical Engineering, Sungkyunkwan University (SKKU), Suwon 440-746, South Korea)

  • Kahp-Yang Suh

    (Global Frontier Center for Multiscale Energy Systems, Seoul National University, Seoul 151-742, South Korea
    Seoul National University, Seoul 151-742, South Korea
    Interdisciplinary Program of Bioengineering, Seoul National University, Seoul 151-742, South Korea)

  • Tae-il Kim

    (Center for Neuroscience Imaging Research (CNIR), Institute for Basic Science (IBS), Suwon 440-746, South Korea
    School of Chemical Engineering, Sungkyunkwan University (SKKU), Suwon 440-746, South Korea)

  • Mansoo Choi

    (Global Frontier Center for Multiscale Energy Systems, Seoul National University, Seoul 151-742, South Korea
    Seoul National University, Seoul 151-742, South Korea)

Abstract

A mechanical crack-based sensor inspired by the mechanism spiders use to sense minute variations in stress offers ultrahigh sensitivity to pressure and vibration and can easily be mounted on human skin for the purposes of speech recognition and the monitoring of physiological signals.

Suggested Citation

  • Daeshik Kang & Peter V. Pikhitsa & Yong Whan Choi & Chanseok Lee & Sung Soo Shin & Linfeng Piao & Byeonghak Park & Kahp-Yang Suh & Tae-il Kim & Mansoo Choi, 2014. "Ultrasensitive mechanical crack-based sensor inspired by the spider sensory system," Nature, Nature, vol. 516(7530), pages 222-226, December.
    • Handle: RePEc:nat:nature:v:516:y:2014:i:7530:d:10.1038_nature14002
    DOI: 10.1038/nature14002
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    Cited by:

    1. Xinlei Shi & Xiangqian Fan & Yinbo Zhu & Yang Liu & Peiqi Wu & Renhui Jiang & Bao Wu & Heng-An Wu & He Zheng & Jianbo Wang & Xinyi Ji & Yongsheng Chen & Jiajie Liang, 2022. "Pushing detectability and sensitivity for subtle force to new limits with shrinkable nanochannel structured aerogel," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    2. Yang Liu & Zijun Xu & Xinyi Ji & Xin Xu & Fei Chen & Xiaosen Pan & Zhiqiang Fu & Yunzhi Chen & Zhengjian Zhang & Hongbin Liu & Bowen Cheng & Jiajie Liang, 2024. "Ag–thiolate interactions to enable an ultrasensitive and stretchable MXene strain sensor with high temporospatial resolution," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
    3. Yar, Adem & Karabiber, Abdulkerim & Ozen, Abdurrahman & Ozel, Faruk & Coskun, Sahin, 2020. "Flexible nanofiber based triboelectric nanogenerators with high power conversion," Renewable Energy, Elsevier, vol. 162(C), pages 1428-1437.
    4. Haitao Yang & Jiali Li & Xiao Xiao & Jiahao Wang & Yufei Li & Kerui Li & Zhipeng Li & Haochen Yang & Qian Wang & Jie Yang & John S. Ho & Po-Len Yeh & Koen Mouthaan & Xiaonan Wang & Sahil Shah & Po-Yen, 2022. "Topographic design in wearable MXene sensors with in-sensor machine learning for full-body avatar reconstruction," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    5. Quanxia Lyu & Shu Gong & Jarmon G. Lees & Jialiang Yin & Lim Wei Yap & Anne M. Kong & Qianqian Shi & Runfang Fu & Qiang Zhu & Ash Dyer & Jennifer M. Dyson & Shiang Y. Lim & Wenlong Cheng, 2022. "A soft and ultrasensitive force sensing diaphragm for probing cardiac organoids instantaneously and wirelessly," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    6. Shuxing Mei & Haokun Yi & Jun Zhao & Yanting Xu & Lan Shi & Yajie Qin & Yizhou Jiang & Jiajie Guo & Zhuo Li & Limin Wu, 2024. "High-density, highly sensitive sensor array of spiky carbon nanospheres for strain field mapping," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    7. 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.
    8. Shaomei Lin & Weifeng Yang & Xubin Zhu & Yubin Lan & Kerui Li & Qinghong Zhang & Yaogang Li & Chengyi Hou & Hongzhi Wang, 2024. "Triboelectric micro-flexure-sensitive fiber electronics," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
    9. Kyowon Kang & Seongryeol Ye & Chanho Jeong & Jinmo Jeong & Yeong-sinn Ye & Jin-Young Jeong & Yu-Jin Kim & Selin Lim & Tae Hee Kim & Kyung Yeun Kim & Jong Uk Kim & Gwan In Kim & Do Hoon Chun & Kiho Kim, 2024. "Bionic artificial skin with a fully implantable wireless tactile sensory system for wound healing and restoring skin tactile function," Nature Communications, Nature, vol. 15(1), pages 1-15, December.

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