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Bridging the Bio-Electronic Interface with Biofabrication
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Nanowire-Enabled Bioelectronics.

Anqi Zhang1, Jae-Hyun Lee1,2, Charles M Lieber1,3

  • 1Department of Chemistry and Chemical Biology, Harvard University, Cambridge, Massachusetts 02138, USA.

Nano Today
|March 27, 2023
PubMed
Summary
This summary is machine-generated.

Nanowire bioelectronics offer highly sensitive detection of biomolecules and advanced electrical recording of cells. This technology presents new opportunities for diagnosis, drug discovery, and in vivo brain mapping.

Keywords:
BioelectronicsBiosensorBrain mappingElectrophysiologyNanowire

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Area of Science:

  • Bioelectronics
  • Nanotechnology
  • Biomedical Engineering

Background:

  • Bioelectronics utilizes electronic devices at biological interfaces for signal transduction.
  • Miniaturization enables seamless integration and new scientific opportunities.
  • Nanowire devices offer unique geometry and high sensitivity with reduced invasiveness.

Purpose of the Study:

  • To review nanowire-enabled bioelectronics.
  • To explore synthetic studies of semiconductor nanowires for bioelectronic devices.
  • To highlight advances in nanowire applications for biomolecule detection and electrogenic cell studies.

Main Methods:

  • Overview of synthetic studies for controlled semiconductor nanowire growth.
  • Review of nanowire field-effect transistor sensors for biomolecule detection.
  • Analysis of nanowire applications in recording electrogenic cells (cardiomyocytes, neurons).

Main Results:

  • Nanowire field-effect transistor sensors demonstrate high sensitivity for biomolecule detection, aiding diagnosis and drug discovery.
  • Nanowire devices enable advanced electrical recording of single cells, cell networks, and tissues.
  • Progress in in vivo brain mapping using nanowire-based electrical recording is highlighted.

Conclusions:

  • Nanowire-enabled bioelectronics provide significant advantages in sensitivity and invasiveness.
  • Key challenges and opportunities exist for nanowires in fundamental research and translational applications.
  • This technology holds promise for advancing diagnostics, therapeutics, and neuroscience research.