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Intelligent perceptual textiles based on ionic-conductive and strong silk fibers

Author

Listed:
  • Haojie Lu

    (Tsinghua University)

  • Yong Zhang

    (Tsinghua University)

  • Mengjia Zhu

    (Tsinghua University)

  • Shuo Li

    (Tsinghua University)

  • Huarun Liang

    (Tsinghua University)

  • Peng Bi

    (Tsinghua University)

  • Shuai Wang

    (Tsinghua University)

  • Haomin Wang

    (Tsinghua University)

  • Linli Gan

    (Tsinghua University)

  • Xun-En Wu

    (Tsinghua University)

  • Yingying Zhang

    (Tsinghua University)

Abstract

Endowing textiles with perceptual function, similar to human skin, is crucial for the development of next-generation smart wearables. To date, the creation of perceptual textiles capable of sensing potential dangers and accurately pinpointing finger touch remains elusive. In this study, we present the design and fabrication of intelligent perceptual textiles capable of electrically responding to external dangers and precisely detecting human touch, based on conductive silk fibroin-based ionic hydrogel (SIH) fibers. These fibers possess excellent fracture strength (55 MPa), extensibility (530%), stable and good conductivity (0.45 S·m–1) due to oriented structures and ionic incorporation. We fabricated SIH fiber-based protective textiles that can respond to fire, water, and sharp objects, protecting robots from potential injuries. Additionally, we designed perceptual textiles that can specifically pinpoint finger touch, serving as convenient human-machine interfaces. Our work sheds new light on the design of next-generation smart wearables and the reshaping of human-machine interfaces.

Suggested Citation

  • Haojie Lu & Yong Zhang & Mengjia Zhu & Shuo Li & Huarun Liang & Peng Bi & Shuai Wang & Haomin Wang & Linli Gan & Xun-En Wu & Yingying Zhang, 2024. "Intelligent perceptual textiles based on ionic-conductive and strong silk fibers," Nature Communications, Nature, vol. 15(1), pages 1-9, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-47665-y
    DOI: 10.1038/s41467-024-47665-y
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    References listed on IDEAS

    as
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