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Soft Bioelectronics Using Nanomaterials and Nanostructures for Neuroengineering.

Minjeong Kim1,2, Hyunjin Lee1,2, Seonghyeon Nam1,2

  • 1Center for Nanoparticle Research, Institute for Basic Science (IBS), Seoul 08826, Republic of Korea.

Accounts of Chemical Research
|May 16, 2024
PubMed
Summary
This summary is machine-generated.

Soft nanobioelectronics overcome limitations of traditional devices, offering improved neural recording and modulation. These advanced technologies integrate nanomaterials and nanostructures for enhanced performance in neuroengineering applications.

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Area of Science:

  • Neuroscience and Bioengineering
  • Materials Science and Nanotechnology

Background:

  • Conventional rigid bioelectronics face challenges in neural applications due to mechanical mismatch and poor integration.
  • Existing implantable bioelectronics, while improved, still struggle with comprehensive performance, stability, and biocompatibility.
  • The need for advanced bioelectronic tools for precise neural interfacing is critical for neuroscience research and clinical applications.

Purpose of the Study:

  • To review technical pathways in soft bioelectronics integrated with nanomaterials and nanostructures for neuroengineering.
  • To highlight the historical development from rigid to soft bioelectronic devices.
  • To discuss the advancements in spatiotemporal resolution and multifunctionality enabled by nanotechnology.

Main Methods:

  • Integration of synthesized nanomaterials into bioelectronic devices for customizable functionality.
  • Implementation of nanoscale structures within bioelectronics to enhance sensing and stimulation performance.
  • Development of soft, deformable bioelectronics with mechanical properties mimicking neural tissues.

Main Results:

  • Soft nanobioelectronics demonstrate improved spatial resolution, selectivity, and single-neuron targeting.
  • These devices enable long-term intracellular neuronal recording and modulation with enhanced signal-to-noise ratio.
  • Nanotechnology integration allows for multifunctionality, including electrical, optical, and chemical sensing and stimulation.

Conclusions:

  • Soft nanobioelectronics represent a significant advancement over conventional bioelectronics for neural applications.
  • These technologies offer promising solutions for precise neural interfacing, diagnosis, and therapy.
  • Future directions involve further development to address remaining challenges and unlock next-generation neuroengineering capabilities.