IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v15y2024i1d10.1038_s41467-024-47283-8.html
   My bibliography  Save this article

High-density, highly sensitive sensor array of spiky carbon nanospheres for strain field mapping

Author

Listed:
  • Shuxing Mei

    (220 Handan Rd.)

  • Haokun Yi

    (220 Handan Rd.)

  • Jun Zhao

    (220 Handan Rd.)

  • Yanting Xu

    (220 Handan Rd.)

  • Lan Shi

    (220 Handan Rd.)

  • Yajie Qin

    (220 Handan Rd.)

  • Yizhou Jiang

    (220 Handan Rd.)

  • Jiajie Guo

    (Huazhong University of Science and Technology)

  • Zhuo Li

    (220 Handan Rd.)

  • Limin Wu

    (220 Handan Rd.)

Abstract

While accurate mapping of strain distribution is crucial for assessing stress concentration and estimating fatigue life in engineering applications, conventional strain sensor arrays face a great challenge in balancing sensitivity and sensing density for effective strain mapping. In this study, we present a Fowler-Nordheim tunneling effect of monodispersed spiky carbon nanosphere array on polydimethylsiloxane as strain sensor arrays to achieve a sensitivity up to 70,000, a sensing density of 100 pixel cm−2, and logarithmic linearity over 99% within a wide strain range of 0% to 60%. The highly ordered assembly of spiky carbon nanospheres in each unit also ensures high inter-unit consistency (standard deviation ≤3.82%). Furthermore, this sensor array can conformally cover diverse surfaces, enabling accurate acquisition of strain distributions. The sensing array offers a convenient approach for mapping strain fields in various applications such as flexible electronics, soft robotics, biomechanics, and structure health monitoring.

Suggested Citation

  • 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.
    • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-47283-8
    DOI: 10.1038/s41467-024-47283-8
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-024-47283-8
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1038/s41467-024-47283-8?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
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Oluwaseun A. Araromi & Moritz A. Graule & Kristen L. Dorsey & Sam Castellanos & Jonathan R. Foster & Wen-Hao Hsu & Arthur E. Passy & Joost J. Vlassak & James C. Weaver & Conor J. Walsh & Robert J. Woo, 2020. "Ultra-sensitive and resilient compliant strain gauges for soft machines," Nature, Nature, vol. 587(7833), pages 219-224, November.
    3. Lan Shi & Zhuo Li & Min Chen & Yajie Qin & Yizhou Jiang & Limin Wu, 2020. "Quantum effect-based flexible and transparent pressure sensors with ultrahigh sensitivity and sensing density," Nature Communications, Nature, vol. 11(1), pages 1-9, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. 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.
    3. 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.
    4. Bekir Aksoy & Yufei Hao & Giulio Grasso & Krishna Manaswi Digumarti & Vito Cacucciolo & Herbert Shea, 2022. "Shielded soft force sensors," Nature Communications, Nature, vol. 13(1), pages 1-12, 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. 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.
    7. 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.
    8. Shun An & Hanrui Zhu & Chunzhi Guo & Benwei Fu & Chengyi Song & Peng Tao & Wen Shang & Tao Deng, 2022. "Noncontact human-machine interaction based on hand-responsive infrared structural color," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    9. Dongjin Kim & Baekgyeom Kim & Bongsu Shin & Dongwook Shin & Chang-Kun Lee & Jae-Seung Chung & Juwon Seo & Yun-Tae Kim & Geeyoung Sung & Wontaek Seo & Sunil Kim & Sunghoon Hong & Sungwoo Hwang & Seungy, 2022. "Actuating compact wearable augmented reality devices by multifunctional artificial muscle," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    10. 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.
    11. Jun Kyu Choe & Junsoo Kim & Hyeonseo Song & Joonbum Bae & Jiyun Kim, 2023. "A soft, self-sensing tensile valve for perceptive soft robots," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    12. 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.
    13. 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.
    14. Sanwei Hao & Qingjin Fu & Lei Meng & Feng Xu & Jun Yang, 2022. "A biomimetic laminated strategy enabled strain-interference free and durable flexible thermistor electronics," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    15. Qiuhong Yu & Rui Ge & Juan Wen & Tao Du & Junyi Zhai & Shuhai Liu & Longfei Wang & Yong Qin, 2022. "Highly sensitive strain sensors based on piezotronic tunneling junction," Nature Communications, Nature, vol. 13(1), pages 1-9, 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:15:y:2024:i:1:d:10.1038_s41467-024-47283-8. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.