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LIG-Based High-Sensitivity Multiplexed Sensing System for Simultaneous Monitoring of Metabolites and Electrolytes
Sang Hyun Park1, James Jungho Pak1
1School of Electrical Engineering, Korea University, Seoul 02841, Republic of Korea.
Sensors (Basel, Switzerland)
|November 9, 2024
Summary
This study introduces a wearable biosensor system for continuous, non-invasive monitoring of glucose, lactate, Na+, K+, and temperature. The system utilizes laser-induced graphene sensors integrated with a smartphone for real-time health insights.
Area of Science:
- Biomedical Engineering
- Materials Science
- Analytical Chemistry
Background:
- Growing interest in continuous body monitoring via wearable biosensors.
- Advancements in medical environments and smartphone integration drive demand for non-invasive monitoring solutions.
Purpose of the Study:
- To develop a wearable multiplexed bio-sensing system for non-invasive monitoring of key analytes and temperature.
- To integrate the system with a smartphone application for seamless data access and analysis.
Main Methods:
- Development of laser-induced graphene (LIG)-based sensors for glucose, lactate, sodium (Na+), potassium (K+), and temperature.
- Utilized potentiometric and amperometric measurement techniques with integrated calibration.
- Incorporated a microcontroller unit (MCU) for signal processing and wireless communication.
Main Results:
- LIG electrodes exhibited a 16-fold increase in active surface area, enhancing sensor performance.
- High sensitivity and low detection limits were achieved for glucose and lactate sensors.
- Accurate potentiometric sensing of Na+ and K+ concentrations and precise temperature monitoring within the physiological range.
Conclusions:
- The developed wearable biosensing system offers a fast, cost-effective, and non-invasive approach for continuous health monitoring.
- The LIG-based sensors demonstrate significant potential for improving personalized healthcare through smartphone-integrated diagnostics.
- This technology paves the way for advanced remote patient monitoring and proactive health management.

