Self-Repairing and Energy-Harvesting Triboelectric Sensor for Tracking Limb Motion and Identifying Breathing Patterns

Area of Science:

• Materials Science and Engineering
• Wearable Technology
• Biomedical Engineering

Background:

• Sedentary lifestyles and evolving work cultures increase health burdens, necessitating remote health monitoring.
• Self-powered triboelectric nanogenerators (TENGs) show promise for wearable health tracking but require self-healing, air permeability, and efficient energy harvesting.
• Existing sensing materials lack the necessary flexibility, lightweight properties, and robust triboelectric performance.

Purpose of the Study:

• To develop a self-healing, energy-harvesting TENG device for wearable health monitoring.
• To investigate self-healable electrospun polybutadiene-based urethane (PBU) and titanium carbide (Ti3C2Tx) MXene as triboelectric layers.
• To demonstrate the TENG's capability for human motion and breathing pattern recognition.

Main Methods:

• Fabrication of a TENG device using self-healable PBU as the positive triboelectric layer and Ti3C2Tx MXene as the negative layer.
• Characterization of PBU's self-healing properties via Diels-Alder reaction and dipole moments for enhanced triboelectric effects.
• Testing the TENG's energy harvesting performance (voltage, current) and cyclic stability, and its application as a motion and breathing sensor.

Main Results:

• The PBU-based TENG exhibited a high open-circuit voltage of up to 30 V and a short-circuit current of 4 μA at 4.0 Hz.
• The device demonstrated remarkable cyclic stability and self-healing ability, restoring functionality after damage via a vapor solvent method.
• The TENG successfully powered 120 LEDs and functioned as a self-powered active motion sensor, accurately recognizing breathing patterns.

Conclusions:

• The developed self-healing TENG offers a durable and efficient solution for wearable energy harvesting and health monitoring.
• The combination of self-healable PBU and Ti3C2Tx MXene provides excellent triboelectric properties and sensing capabilities.
• This technology has significant potential for real-time health tracking, improving remote patient care and personal well-being.