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Shape-Programmable Liquid Metal Fibers.

Biao Ma1, Jin Zhang1, Gangsheng Chen1

  • 1State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China.

Biosensors
|January 21, 2023
PubMed
Summary
This summary is machine-generated.

Researchers developed shape-programmable liquid metal (LM) fibers using gallium

Keywords:
conductive fiberflexible electronicsliquid metalstretchable electrodeswearable sensors

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Area of Science:

  • Materials Science
  • Nanotechnology
  • Wearable Electronics

Background:

  • Conductive and stretchable fibers are crucial for intelligent textiles and wearable electronics.
  • Gallium-based liquid metals (LMs) offer high conductivity and self-healing properties for stretchable fibers.
  • Current LM fiber fabrication methods lack shape programmability, limiting tunable electromechanical responses and miniaturization.

Purpose of the Study:

  • To develop a simple and efficient method for creating shape-programmable liquid metal (LM) fibers.
  • To enhance the stretchability and preserve the conductance of LM fibers.
  • To demonstrate the application of programmable LM fibers in various sensing functionalities.

Main Methods:

  • Utilizing the phase transition of gallium to create shape-programmable LM fibers.
  • Shaping solid-state gallium wires into 3D helical structures.
  • Coating the shaped gallium wires with polyurethane and then liquefying the metal to preserve the structure.

Main Results:

  • Achieved enhanced stretchability with a high breaking strain of 1273% for the 3D helical LM fiber.
  • Maintained invariable conductance over 283% strain.
  • Demonstrated tunable fiber diameter by stretching during polyurethane solidification.
  • Showcased applications in self-powered strain sensing, heart rate monitoring, and airflow/humidity sensing.

Conclusions:

  • The developed method provides a facile approach to create functional, shape-programmable LM fibers.
  • These programmable LM fibers show significant potential for applications in e-skins, wearable computation, soft robots, and smart fabrics.