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A computer vision enhanced smart phone platform for microfluidic urine glucometry.
Zhuolun Meng1, Muhammad Tayyab1, Zhongtian Lin1
1Electrical and Computer Engineering, Rutgers University-New Brunswick, 94 Brett Road, Piscataway, NJ, USA. mehdi.javanmard@rutgers.edu.
The Analyst
|February 9, 2024
Summary
This study introduces a novel, economical smartphone glucose sensor for rapid urine glucose measurement. The device uses colorimetric analysis and computer vision for accurate glucose quantification, aiding in early disease detection.
Area of Science:
- Biomedical Engineering
- Analytical Chemistry
- Point-of-Care Diagnostics
Background:
- Glucose monitoring is crucial for managing diabetes and hypoglycemia.
- Existing methods can be costly and time-consuming.
- Portable, user-friendly glucose sensors are in high demand.
Purpose of the Study:
- To develop an accurate, rapid, and economical disposable microfluidic glucose sensor.
- To utilize smartphone technology for accessible glucose level quantification.
- To enable glucose measurement in human urine samples.
Main Methods:
- A disposable microfluidic device with integrated glucose analysis strips and a polydimethylsiloxane (PDMS) micropump.
- Colorimetric analysis combined with computer vision using smartphone imaging.
- LED illumination and RGB value analysis for glucose quantification.
- Validation using sucrose water and comparison with traditional methods.
Main Results:
- The sensor demonstrated accurate and consistent glucose quantification in urine.
- Computer vision analysis showed strong correlation with traditional glucose measurement methods (R-squared = 0.997).
- The device proved economical, rapid, and equipment-free, suitable for portable use.
Conclusions:
- The developed smartphone-based glucose sensor offers a promising solution for point-of-care diagnostics.
- The technology is accurate, cost-effective, and potentially transferable to other assays.
- This innovation can improve accessibility to glucose monitoring for disease management.
