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Conformal PEDOT:PSS Microelectrode Arrays with Controllable Doping Level and High Structural Order for

Ran Jin1,2, Fan Zhang3,4, Lixiang Xing2,4

  • 1School of Materials Science and Engineering, Zhejiang University, Hangzhou, Zhejiang 310027, China.

ACS Applied Materials & Interfaces
|December 3, 2025
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Summary
This summary is machine-generated.

Researchers developed flexible microelectrode arrays (MEAs) using a novel galvanostatic method. These enhanced MEAs offer improved conformability and conductivity for precise neural recordings.

Keywords:
PEDOT:PSSelectrocorticogram recordingelectropolymerizationinterface impedancemicroelectrode arrays

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Area of Science:

  • Neuroscience
  • Materials Science
  • Bioengineering

Background:

  • Flexible microelectrode arrays (MEAs) are crucial for brain activity monitoring.
  • Existing MEAs face limitations in mechanical flexibility and electrochemical performance.
  • Conformal neural interfaces require advanced materials and fabrication techniques.

Purpose of the Study:

  • To develop a fabrication method for conformal microelectrode arrays (MEAs).
  • To enhance the mechanical and electrochemical properties of flexible MEAs.
  • To improve the performance of neural recording devices.

Main Methods:

  • A multistep galvanostatic approach was employed for fabricating MEAs.
  • PEDOT:PSS was used to modify the MEAs, improving interface conformability.
  • Electrochemical parameters were optimized for uniform PEDOT:PSS polymerization.

Main Results:

  • Uniform PEDOT:PSS layers with controlled doping and high structural order were achieved.
  • The modified MEAs exhibited high electrical conductivity and low impedance.
  • Flexible 16-channel MEAs successfully recorded electrocorticogram signals in a rat model.

Conclusions:

  • The study presents an efficient method for fabricating high-performance flexible MEAs.
  • PEDOT:PSS modification significantly enhances bioelectric conductivity and conformability.
  • These advanced MEAs show potential for next-generation conformal neural interfaces.