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3D-Printed Carbon Electrodes for Neurotransmitter Detection.

Cheng Yang1, Qun Cao1, Pumidech Puthongkham1

  • 1Dept. of Chemistry, University of Virginia, Charlottesville, VA, 22901, USA.

Angewandte Chemie (International Ed. in English)
|September 13, 2018
PubMed
Summary

Researchers developed a new 3D-printing method for fabricating carbon-based neural sensors. These novel microelectrodes demonstrate high sensitivity and reproducibility for detecting neurochemicals, advancing neuroscience research.

Keywords:
carbonmicroelectrodesneurotransmitterssensorstwo-photon lithography

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Area of Science:

  • Neuroscience
  • Materials Science
  • Biomedical Engineering

Background:

  • Current neural probe fabrication methods limit geometric customization and batch production.
  • Advanced neuroscience research requires high-reproducibility, implantable neural sensors with precise geometries.

Purpose of the Study:

  • To develop a novel method for batch-fabricating free-standing microelectrodes with carbon electroactive surfaces.
  • To characterize the performance of 3D-printed electrodes for neurochemical detection.

Main Methods:

  • Two-photon nanolithography followed by pyrolysis was used to create 3D-printed microelectrodes.
  • Cyclic voltammetry (CV) was employed for electrochemical characterization.
  • In vitro and in vivo experiments were conducted to assess dopamine detection.

Main Results:

  • Fabricated spherical and conical electrodes exhibited low dopamine limits of detection (LODs) of 11±1 nm and 10±2 nm, respectively.
  • The electrodes demonstrated high sensitivity to multiple neurochemicals and excellent reproducibility.
  • Successful detection of dopamine in brain slices and in vivo confirmed robustness for tissue implantation.

Conclusions:

  • This study presents the first demonstration of 3D-printed free-standing carbon electrodes.
  • The developed method offers a promising approach for the batch fabrication of customized, implantable neural sensors.
  • The technology has the potential to significantly advance neuroscience research and clinical applications.