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Topological MXene Network Enabled Mixed Ion-Electron Conductive Hydrogel Bioelectronics.

Jiabei Luo1, Hong Zhang2,3, Chuanyue Sun1

  • 1State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai 201620, People's Republic of China.

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|January 26, 2024
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Summary

A novel topological MXene network enhances mixed ion-electron conductive (MIEC) hydrogel bioelectronics. This advancement improves stability and signal transmission for superior electrophysiological monitoring.

Keywords:
MXeneelectrophysiological techniqueshydrogelsmixed ion−electron conductive bioelectronics

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Area of Science:

  • Materials Science
  • Biomedical Engineering
  • Nanotechnology

Background:

  • Mixed ion-electron conductive (MIEC) bioelectronics are advanced for bioelectrical signal monitoring.
  • Current MIEC bioelectronics face challenges with delamination and signal transmission defects.

Purpose of the Study:

  • To introduce a topological MXene network-enhanced MIEC hydrogel bioelectronics.
  • To improve electrical and mechanical properties while maintaining adhesion and biocompatibility for electrophysiological signal monitoring.

Main Methods:

  • Fabrication of a topological MXene network within an MIEC hydrogel.
  • Characterization of the hydrogel's dynamic stability, electrical signal transmission, and energy dissipation.
  • Assessment of impedance and stability under mechanical stress (5000 stretch cycles).

Main Results:

  • The MXene topology significantly increased dynamic stability (8.4x) and electrical signal transmission (10.1x).
  • Energy dissipation was reduced by a factor of 20.2.
  • The enhanced hydrogel exhibited low impedance (<25 Ω) and minimal fluctuation after extensive stretching.

Conclusions:

  • The topological MXene network effectively enhances MIEC hydrogel bioelectronics.
  • This technology offers a promising solution for high-fidelity electrophysiological signal monitoring.
  • Applications include multichannel bioelectronics for muscle action mapping and gait recognition.