IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v15y2024i1d10.1038_s41467-024-47810-7.html
   My bibliography  Save this article

Sweat permeable and ultrahigh strength 3D PVDF piezoelectric nanoyarn fabric strain sensor

Author

Listed:
  • Wei Fan

    (Xi’an Polytechnic University)

  • Ruixin Lei

    (Xi’an Polytechnic University)

  • Hao Dou

    (Xi’an Polytechnic University)

  • Zheng Wu

    (Xi’an Polytechnic University)

  • Linlin Lu

    (Xi’an Polytechnic University)

  • Shujuan Wang

    (Xi’an Jiaotong University)

  • Xuqing Liu

    (Northwestern Polytechnical University)

  • Weichun Chen

    (Xi’an Polytechnic University)

  • Mashallah Rezakazemi

    (Shahrood University of Technology)

  • Tejraj M. Aminabhavi

    (KLE Technological University, Hubballi, India and Korea University)

  • Yi Li

    (University of Manchester)

  • Shengbo Ge

    (Nanjing Forestry University)

Abstract

Commercial wearable piezoelectric sensors possess excellent anti-interference stability due to their electronic packaging. However, this packaging renders them barely breathable and compromises human comfort. To address this issue, we develop a PVDF piezoelectric nanoyarns with an ultrahigh strength of 313.3 MPa, weaving them with different yarns to form three-dimensional piezoelectric fabric (3DPF) sensor using the advanced 3D textile technology. The tensile strength (46.0 MPa) of 3DPF exhibits the highest among the reported flexible piezoelectric sensors. The 3DPF features anti-gravity unidirectional liquid transport that allows sweat to move from the inner layer near to the skin to the outer layer in 4 s, resulting in a comfortable and dry environment for the user. It should be noted that sweating does not weaken the piezoelectric properties of 3DPF, but rather enhances. Additionally, the durability and comfortability of 3DPF are similar to those of the commercial cotton T-shirts. This work provides a strategy for developing comfortable flexible wearable electronic devices.

Suggested Citation

  • Wei Fan & Ruixin Lei & Hao Dou & Zheng Wu & Linlin Lu & Shujuan Wang & Xuqing Liu & Weichun Chen & Mashallah Rezakazemi & Tejraj M. Aminabhavi & Yi Li & Shengbo Ge, 2024. "Sweat permeable and ultrahigh strength 3D PVDF piezoelectric nanoyarn fabric strain sensor," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-47810-7
    DOI: 10.1038/s41467-024-47810-7
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-024-47810-7
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1038/s41467-024-47810-7?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
    ---><---

    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_s41467-024-47810-7. 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.