Self-Calibrated Integrated Sensors Based on Proton Reservoir Functioned Hydrovoltaic Sensing Chip Arrays for...

Area of Science:

• Biomedical Engineering
• Materials Science
• Sensor Technology

Background:

• Wearable sensors offer continuous biomarker monitoring without extra equipment.
• Hydrovoltaic sensing chips determine analyte concentration via output voltage, needing no external power or electrodes.
• Environmental fluctuations challenge hydrovoltaic sensor stability in dynamic conditions.

Purpose of the Study:

• To develop a stable hydrovoltaic sensing chip for sweat glucose monitoring.
• To implement a pH self-calibration strategy for dynamic sweat conditions.
• To enable simultaneous, accurate, and wireless monitoring of sweat glucose, pH, and skin temperature.

Main Methods:

• Utilized a proton reservoir-functioned sulfonate-doped polyaniline (SPANI) as the active hydrovoltaic sensing material.
• Developed a pH self-calibration strategy to counteract physiological sweat pH fluctuations.
• Integrated SPANI-based hydrovoltaic sensing chip arrays for multi-parameter monitoring.

Main Results:

• Achieved direct determination of sweat glucose concentration via output voltage.
• Successfully eliminated disturbances from dynamic pH fluctuations using real-time calibration.
• Demonstrated simultaneous, accurate, and wireless monitoring of sweat glucose, pH, and skin temperature.

Conclusions:

• Proton reservoir-enabled hydrovoltaic sensing chip arrays offer precise multi-parameter monitoring in dynamic environments.
• The developed pH self-calibration strategy enhances the reliability of hydrovoltaic sensors.
• This approach presents a promising advancement for hydrovoltaic-based wearable health monitoring systems.