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Controllable Graphene Wrinkle for a High-Performance Flexible Pressure Sensor.

Xinyue Tang1,2, Weidong Yang3, Shuran Yin1

  • 1Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, P. R. China.

ACS Applied Materials & Interfaces
|April 26, 2021
PubMed
Summary

Researchers developed a low-cost, high-sensitivity flexible pressure sensor using wrinkled graphene-nanowalls (GNWs) on polydimethylsiloxane (PDMS). This controllable microstructure enables applications in healthcare, robotics, and prosthetics.

Keywords:
E-skincontrollable wrinkleflexible piezoresistivity sensorgraphene-nanowallsrobotics

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Area of Science:

  • Materials Science
  • Nanotechnology
  • Sensor Technology

Background:

  • Flexible pressure sensors are crucial for healthcare, robotics, and prosthetics.
  • Developing low-cost, controllable microstructures for these sensors remains a challenge.

Purpose of the Study:

  • To create a high-sensitivity, low-cost flexible piezoresistive sensor.
  • To utilize a controllable graphene-nanowalls (GNWs) wrinkle microstructure on a polydimethylsiloxane (PDMS) elastomer.

Main Methods:

  • Fabrication of a GNWs-PDMS bilayer with vertically grown GNWs for improved interface strength.
  • Employing a thermal wrinkling method to create tunable, delamination-free conformal wrinkles.
  • Utilizing finite element method (FEM) to analyze the working mechanism and the role of wrinkle periods.

Main Results:

  • Achieved high sensitivity (59.0 kPa⁻¹ for 0-2 kPa, 4.8 kPa⁻¹ for 2-20 kPa) and fast response (<6.9 ms).
  • Demonstrated a low limit of detection (LOD) of 2 mg (∼0.2 Pa).
  • FEM analysis confirmed wrinkle periods significantly influence sensor performance.

Conclusions:

  • The wrinkled graphene-nanowalls (WG) sensor offers a promising, cost-effective solution for flexible pressure sensing.
  • The sensor successfully detected various stimuli, including weak gas and plantar pressure.
  • Potential applications include prosthetics, intelligent robotics, object manipulation, tactile imaging, and braille recognition.