Dual-Mode Textile Sensor Based on PEDOT:PSS/SWCNTs Composites for Pressure-Temperature Detection

Area of Science:

• Materials Science
• Electronics
• Wearable Technology

Background:

• Intelligent electronic textiles (e-textiles) offer vast application potential but struggle with distinguishing multiple stimuli.
• Real-time, interference-free detection of multiple parameters in e-textiles remains a significant challenge.

Purpose of the Study:

• To develop a novel dual-parameter smart e-textile for simultaneous, high-performance detection of human pulse and body temperature.
• To investigate the sensing properties of PEDOT:PSS/SWCNTs composites for pressure and temperature detection.

Main Methods:

• Fabricating a PEDOT:PSS/SWCNTs/CS@PET-textile (PSCP) sensor by doping single-walled carbon nanotubes (SWCNTs) into PEDOT:PSS.
• Evaluating the sensor's performance for pressure detection (sensitivity, response time, durability) and temperature sensing (Seebeck coefficient).

Main Results:

• The PSCP sensor demonstrated high sensitivity (32.4 kPa⁻¹) and fast response (~21 ms) for pressure detection with excellent durability (>2000 cycles).
• The sensor exhibited a high Seebeck coefficient (25 μV/K) over a wide temperature range (0-120 K) with a linear relationship.
• The dual-mode sensor successfully achieved real-time simultaneous monitoring of pulse signals and body temperature without interference.

Conclusions:

• The developed dual-parameter e-textile enables simultaneous, interference-free monitoring of pulse and temperature, showcasing its potential in medical healthcare.
• The sensor's ability to harness temperature gradients offers a novel pathway for developing self-powered wearable devices.