Moisture-Resilient Graphene-Dyed Wool Fabric for Strain Sensing

Area of Science:

• Materials Science
• Wearable Technology
• Textile Engineering

Background:

• Natural fabrics offer comfort for e-textiles but lack long-term electrical and mechanical stability under body conditions like heat and moisture.
• Existing fabric-based e-textiles often degrade due to sweat and metabolic activity, limiting their practical application in wearable sensors.

Purpose of the Study:

• To develop a stable and durable e-textile strain sensor using natural wool fabric.
• To address the challenges of moisture and mechanical stress in wearable sensor applications.
• To create a batteryless, wireless wearable sensor system for body movement monitoring.

Main Methods:

• Wool-knitted fabric was treated with graphene oxide (GO) dyeing and subsequently reduced using l-ascorbic acid (l-AA) to form reduced graphene oxide (rGO).
• The rGO-treated fabric was characterized for its electrical, mechanical, and sensing properties, including stretchability, washability, and response to moisture.
• The rGO-fabric sensor was integrated with a near-field communication (NFC) system to demonstrate a batteryless, wireless sensing capability.

Main Results:

• The developed rGO-based wool fabric sensor demonstrated high stretchability (>20% elongation) with excellent linearity and rapid response.
• The sensor maintained stable electrical and mechanical properties even when exposed to a wide range of humidity (30-90%) and water immersion.
• A functional batteryless, wireless wearable body movement sensor was successfully constructed by integrating the rGO-fabric with an NFC system.

Conclusions:

• The GO/l-AA treated wool fabric presents a highly stable, durable, and washable e-textile strain sensor suitable for demanding wearable applications.
• This material overcomes the limitations of previous fabric-based e-textiles concerning environmental stability and long-term performance.
• The developed sensor technology holds significant potential for widespread use in smart garments and advanced body monitoring systems.