Hierarchical Silk-Based Textile Sensor: Recent Advances in Multidimensional Processing and Multiscenario Applications

Area of Science:

• Materials Science
• Textile Engineering
• Biomedical Engineering

Background:

• Flexible sensors are crucial for AI and IoT applications like health monitoring and robotics.
• Silk fibers/textiles are ideal sensing materials due to flexibility, biocompatibility, and sustainability.
• Existing reviews lack a systematic summary of silk-based textile sensor preparation, processing, and applications.

Purpose of the Study:

• To provide a comprehensive overview of flexible silk-based textile sensors.
• To discuss the multilevel structural and multidimensional sustainability of silk.
• To explore processing strategies and multiscenario applications of silk-based textile sensors.

Main Methods:

• Review of multilevel structural and multidimensional sustainability of silk.
• Analysis of various processing strategies for silk-based textile sensors.
• Discussion of emerging applications and future challenges.

Main Results:

• Silk's hierarchical structure contributes to excellent sensor performance.
• Detailed comparison of merits and drawbacks for different spinning techniques.
• Identification of key areas for future research and development.

Conclusions:

• Flexible silk-based textile sensors represent a promising area with significant potential.
• Further research into processing and applications can unlock new technological advancements.
• Silk's unique properties position it as a key material for next-generation flexible electronics.