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Autonomous Bioelectronic Devices Based on Silk Fibroin.

Yanling Wang1,2, Xue Feng1,3, Xiaodong Chen2

  • 1Institute of Flexible Electronics Technology of THU, Jiaxing, Zhejiang, 314000, China.

Advanced Materials (Deerfield Beach, Fla.)
|March 24, 2025
PubMed
Summary

Silk fibroin (SF) is a versatile biomaterial enabling autonomous bioelectronic devices. Its adaptable properties, including self-healing and shape-morphing, are key for advanced healthcare and wearable technology integration.

Keywords:
adaptable implantsautonomous bioelectronicsbio‐integration interfacesilk fibroinsmart devices

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Area of Science:

  • Biomaterials Science
  • Bioelectronics Engineering
  • Materials Science

Background:

  • Autonomous bioelectronic devices require adaptable, biocompatible materials for healthcare and wearables.
  • Silk fibroin (SF) offers biocompatibility, mechanical flexibility, and tunable biodegradability.
  • Current systems need materials that can dynamically interact with biological environments.

Purpose of the Study:

  • To review recent advancements in silk fibroin (SF) for autonomous bioelectronic systems.
  • To explore SF's structure-property relationships and modification strategies.
  • To discuss SF's potential in adaptive implants, epidermal electronics, and intelligent textiles.

Main Methods:

  • Review of recent literature on silk fibroin modification and bioelectronic integration.
  • Analysis of SF's intrinsic properties: biocompatibility, mechanical flexibility, biodegradability.
  • Exploration of autonomous features: self-healing, shape-morphing, controllable degradation.

Main Results:

  • SF demonstrates significant potential for autonomous bioelectronic systems due to its unique properties.
  • Incorporating autonomous features into SF enhances dynamic interaction with tissues, minimizing adverse responses.
  • SF's tunability and sustainability support its use in adaptive implants and intelligent textiles.

Conclusions:

  • Silk fibroin is a promising material for developing next-generation autonomous bioelectronic devices.
  • Addressing challenges in scalability, reproducibility, and multifunctionality is crucial for widespread adoption.
  • Future directions include AI-assisted design and integration of wireless technologies for personalized applications.