A wearable platform for biochemical sweat analysis using photonic crystal hydrogel

Area of Science:

• Biomedical Engineering
• Materials Science
• Analytical Chemistry

Background:

• Wearable health monitoring systems are crucial for personalized diagnostics and precision medicine.
• Current wearable technology faces challenges in reliability and high performance for continuous monitoring.
• Non-invasive methods for analyzing biomarkers in biofluids are highly sought after.

Purpose of the Study:

• To develop a reliable and high-performance wearable platform for non-invasive sweat biomarker monitoring.
• To enable real-time, quantitative analysis of key biomarkers like lactate and pH.
• To demonstrate the potential for personal health monitoring and sports performance assessment.

Main Methods:

• Fabrication of a butterfly-shaped microfluidic platform housing responsive photonic crystal hydrogel sensors.
• Utilizing colorimetric changes in the hydrogel sensors for visual detection of sweat biomarkers.
• Implementing mobile phone image analysis for accurate, quantitative analyte detection within physiological ranges.
• Conducting on-body trials with volunteer participants.

Main Results:

• The wearable sensor accurately quantifies sweat lactate and pH through visual color variation and mobile image analysis.
• The sensor demonstrated good reproducibility, selectivity, and long-term stability.
• On-body trial results correlated well with established analytical methods, validating the device's performance.

Conclusions:

• The developed non-invasive wearable sensor offers a promising new strategy for continuous sweat biomarker monitoring.
• This technology has significant potential for applications in personal health management and athletic performance evaluation.
• The platform addresses key challenges in wearable sensor design, offering reliability and high performance.