Enhancing the performance of molecule-based piezoelectric sensors by optimizing their microstructures

Area of Science:

• Materials Science
• Nanotechnology
• Solid State Physics

Background:

• Molecule-based ferroelectrics combine inorganic and organic components for flexible electronics.
• Piezoelectric sensor performance relies on material properties and device architecture.
• Microstructure optimization for molecule-based piezoelectric sensors remains underexplored.

Purpose of the Study:

• To synthesize a novel molecule-based ferroelectric material.
• To investigate the impact of microstructure optimization on piezoelectric sensor performance.
• To evaluate the potential of these sensors for detecting human physiological signals.

Main Methods:

• Synthesis of [(2-bromoethyl) trimethylammonium][GaBr4] (1).
• Fabrication of piezoelectric sensor devices with and without microstructures (1@S-PDMS(800#) vs. 1-Flat-PDMS).
• Measurement of piezoelectric coefficient (d33) and power density.
• Testing sensor capabilities for physiological signal detection.

Main Results:

• The synthesized material (1) shows a high piezoelectric coefficient (d33) up to 331 pC N−1.
• Microstructure optimization in 1@S-PDMS(800#) resulted in a twelvefold increase in power density compared to 1-Flat-PDMS.
• The sensor effectively detected human physiological signals (finger bending, breathing, speech) without external power.

Conclusions:

• Microstructure optimization is a viable strategy to enhance molecule-based piezoelectric sensor performance.
• Synergistic piezoelectric and triboelectric effects contribute to improved power density.
• These flexible sensors show promise for self-powered, wearable physiological monitoring devices.