Surface Potential Tuned Single Active Material Comprised Triboelectric Nanogenerator for a High Performance Voice...

Area of Science:

• Materials Science
• Nanotechnology
• Sensor Technology

Background:

• Fabricating high-performance triboelectric nanogenerators (TENGs) typically requires combining materials from the triboelectric series, which presents significant challenges.
• Developing TENGs using a single material simplifies fabrication and enhances performance.

Purpose of the Study:

• To propose an effective method for fabricating a TENG using only a single material, termed a single-material TENG (S-TENG).
• To demonstrate the S-TENG's capability as an ultrasensitive acoustic sensor for voice recognition and potential medical diagnostics.

Main Methods:

• Utilized electrospun nylon nanofibers as the core material for the S-TENG.
• Tuned the surface potential of nanofibers by adjusting voltage polarity during the electrospinning process.
• Investigated the relationship between surface potential, work function, and TENG performance.

Main Results:

• Successfully fabricated an S-TENG using electrospun nylon nanofibers by manipulating surface potential and work function differences.
• Achieved ultrahigh mechanoacoustic sensitivity of approximately 27,500 mV Pa⁻¹.
• Demonstrated high sensitivity to low-to-middle decibel sounds (60-70 dB), enabling recognition of voice signals.

Conclusions:

• The S-TENG offers a novel approach to designing high-performance TENGs with a single material.
• The S-TENG's voice recognition capability holds significant potential for non-invasive medical diagnostics of various laryngeal and neurological voice disorders.
• This technology opens new avenues for medical professionals in early disease detection and monitoring.