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

Haojie Lu, Yong Zhang, Mengjia Zhu, Shuo Li, Huarun Liang, Peng Bi, Shuai Wang, Haomin Wang, Linli Gan, Xun-En Wu and Yingying Zhang ()
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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

Nature Communications, 2024, vol. 15, issue 1, 1-9

Abstract: 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.

Date: 2024
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DOI: 10.1038/s41467-024-47665-y

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