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Bridging the Bio-Electronic Interface with Biofabrication
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Active biointegrated living electronics for managing inflammation.

Jiuyun Shi1, Saehyun Kim1, Pengju Li2

  • 1Department of Chemistry, University of Chicago, Chicago, IL 60637, USA.

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Summary
This summary is machine-generated.

This study introduces an active biointegrated living electronics (ABLE) platform for seamless bioelectronic interfaces. The ABLE platform enables simultaneous monitoring of biogenic, biomechanical, and bioelectrical properties for disease diagnosis.

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Area of Science:

  • Biomedical Engineering
  • Bioelectronics
  • Microbiology

Background:

  • Disparities between synthetic materials and living tissues challenge bioelectrical signal transduction.
  • Developing seamless interfaces for electronic devices and biological tissues is crucial for disease diagnosis and treatment.

Purpose of the Study:

  • To introduce the active biointegrated living electronics (ABLE) platform.
  • To enable multimodal signal transduction at the microbial-mammalian interface.
  • To monitor microbial-driven intervention in psoriasis.

Main Methods:

  • Developed a living biointerface using a bioelectronics layout and a Staphylococcus epidermidis-laden hydrogel composite.
  • Prepared viscoelastic hydrogels using thermally released amylose polymer chains to sustain bacterial viability.
  • Utilized electrophysiological recordings and wireless probing to monitor skin electrical impedance, body temperature, and humidity.

Main Results:

  • The ABLE platform demonstrated capabilities across biogenic, biomechanical, and bioelectrical properties.
  • The living hydrogel composite supported high bacterial viability.
  • ABLE successfully monitored microbial-driven intervention in psoriasis through various physiological parameters.

Conclusions:

  • The ABLE platform offers a novel approach for seamless bioelectronic interfaces.
  • This living biointerface facilitates multimodal signal transduction at the microbial-mammalian nexus.
  • ABLE shows potential for real-time monitoring of microbial-driven conditions like psoriasis.