IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v10y2019i1d10.1038_s41467-019-10433-4.html
   My bibliography  Save this article

A bionic stretchable nanogenerator for underwater sensing and energy harvesting

Author

Listed:
  • Yang Zou

    (Chinese Academy of Sciences
    Beihang University
    University of Chinese Academy of Sciences)

  • Puchuan Tan

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Bojing Shi

    (Chinese Academy of Sciences
    Beihang University)

  • Han Ouyang

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Dongjie Jiang

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Zhuo Liu

    (Chinese Academy of Sciences
    Beihang University)

  • Hu Li

    (Chinese Academy of Sciences
    Beihang University)

  • Min Yu

    (Foshan University)

  • Chan Wang

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Xuecheng Qu

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Luming Zhao

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Yubo Fan

    (Beihang University
    National Research Center for Rehabilitation Technical Aids)

  • Zhong Lin Wang

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences
    Georgia Institute of Technology)

  • Zhou Li

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

Abstract

Soft wearable electronics for underwater applications are of interest, but depend on the development of a waterproof, long-term sustainable power source. In this work, we report a bionic stretchable nanogenerator for underwater energy harvesting that mimics the structure of ion channels on the cytomembrane of electrocyte in an electric eel. Combining the effects of triboelectrification caused by flowing liquid and principles of electrostatic induction, the bionic stretchable nanogenerator can harvest mechanical energy from human motion underwater and output an open-circuit voltage over 10 V. Underwater applications of a bionic stretchable nanogenerator have also been demonstrated, such as human body multi-position motion monitoring and an undersea rescue system. The advantages of excellent flexibility, stretchability, outstanding tensile fatigue resistance (over 50,000 times) and underwater performance make the bionic stretchable nanogenerator a promising sustainable power source for the soft wearable electronics used underwater.

Suggested Citation

  • Yang Zou & Puchuan Tan & Bojing Shi & Han Ouyang & Dongjie Jiang & Zhuo Liu & Hu Li & Min Yu & Chan Wang & Xuecheng Qu & Luming Zhao & Yubo Fan & Zhong Lin Wang & Zhou Li, 2019. "A bionic stretchable nanogenerator for underwater sensing and energy harvesting," Nature Communications, Nature, vol. 10(1), pages 1-10, December.
    • Handle: RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-10433-4
    DOI: 10.1038/s41467-019-10433-4
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-019-10433-4
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1038/s41467-019-10433-4?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. Yijia Lu & Han Tian & Jia Cheng & Fei Zhu & Bin Liu & Shanshan Wei & Linhong Ji & Zhong Lin Wang, 2022. "Decoding lip language using triboelectric sensors with deep learning," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    2. Lei Zhang & Lu Chen & Siheng Wang & Shanshan Wang & Dan Wang & Le Yu & Xu Xu & He Liu & Chaoji Chen, 2024. "Cellulose nanofiber-mediated manifold dynamic synergy enabling adhesive and photo-detachable hydrogel for self-powered E-skin," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    3. Bincy, Thanjan Shaji & Prasanna, Asokan Poorani Sathya & Balaji, A. Sakthi & Sivasankar, K. Janani & Thiruvadigal, D. John & Anithkumar, Monunith & Kim, Sang-Jae, 2024. "Computational analysis of starch for sustainable power generation towards integrated wearable IoT," Applied Energy, Elsevier, vol. 370(C).
    4. Hongfa Zhao & Minyi Xu & Mingrui Shu & Jie An & Wenbo Ding & Xiangyu Liu & Siyuan Wang & Cong Zhao & Hongyong Yu & Hao Wang & Chuan Wang & Xianping Fu & Xinxiang Pan & Guangming Xie & Zhong Lin Wang, 2022. "Underwater wireless communication via TENG-generated Maxwell’s displacement current," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    5. Ali Matin Nazar & King-James Idala Egbe & Azam Abdollahi & Mohammad Amin Hariri-Ardebili, 2021. "Triboelectric Nanogenerators for Energy Harvesting in Ocean: A Review on Application and Hybridization," Energies, MDPI, vol. 14(18), pages 1-33, September.
    6. 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.
    7. Ying Liu & Chan Wang & Zhuo Liu & Xuecheng Qu & Yansong Gai & Jiangtao Xue & Shengyu Chao & Jing Huang & Yuxiang Wu & Yusheng Li & Dan Luo & Zhou Li, 2024. "Self-encapsulated ionic fibers based on stress-induced adaptive phase transition for non-contact depth-of-field camouflage sensing," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    8. Wenxi Huang & Qiongling Ding & Hao Wang & Zixuan Wu & Yibing Luo & Wenxiong Shi & Le Yang & Yujie Liang & Chuan Liu & Jin Wu, 2023. "Design of stretchable and self-powered sensing device for portable and remote trace biomarkers detection," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    9. Sixing Xiong & Kenjiro Fukuda & Kyohei Nakano & Shinyoung Lee & Yutaro Sumi & Masahito Takakuwa & Daishi Inoue & Daisuke Hashizume & Baocai Du & Tomoyuki Yokota & Yinhua Zhou & Keisuke Tajima & Takao , 2024. "Waterproof and ultraflexible organic photovoltaics with improved interface adhesion," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
    10. Wenbo Liu & Youning Duo & Jiaqi Liu & Feiyang Yuan & Lei Li & Luchen Li & Gang Wang & Bohan Chen & Siqi Wang & Hui Yang & Yuchen Liu & Yanru Mo & Yun Wang & Bin Fang & Fuchun Sun & Xilun Ding & Chi Zh, 2022. "Touchless interactive teaching of soft robots through flexible bimodal sensory interfaces," Nature Communications, Nature, vol. 13(1), pages 1-14, 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_s41467-019-10433-4. 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.