Paper-Based Microfluidic Analytical Device Patterned by Label Printer for Point-of-Care Blood Glucose and Hematocrit
Zong-Xiao Cai1, Ming-Zhang Jiang1, Ya-Ju Chuang2
1Department of Automation Engineering, National Formosa University, No. 64, Wenhua Rd., Huwei 63201, Yunlin, Taiwan.
Sensors (Basel, Switzerland)
|August 10, 2024
Summary
This study developed a low-cost, portable system using origami microfluidic paper-based analytical devices (μPADs) and smartphones for simultaneous blood glucose and hematocrit detection. The innovative design offers accurate, reliable point-of-care health monitoring.
Area of Science:
- Biomedical Engineering
- Analytical Chemistry
- Point-of-Care Diagnostics
Background:
- Accurate monitoring of blood glucose and hematocrit is crucial for managing various health conditions.
- Existing point-of-care (POC) systems can be expensive or lack simultaneous detection capabilities.
- There is a need for cost-effective, portable, and reliable diagnostic tools for decentralized healthcare settings.
Purpose of the Study:
- To develop and validate a portable, low-cost POC system for simultaneous blood glucose and hematocrit detection.
- To utilize origami microfluidic paper-based analytical devices (μPADs) and smartphone technology for enhanced diagnostics.
- To improve the accuracy and reliability of POC measurements by mitigating ambient light interference.
Main Methods:
- Fabrication of origami μPADs using a cost-effective label printing technique for plasma separation and reaction.
- Development of a 3D-printed cassette integrating LED illumination for smartphone-based detection.
- Quantitative determination of hematocrit via plasma wicking distance and blood glucose via colorimetric reaction analysis using RGB software.
Main Results:
- The system demonstrated accurate blood glucose assessment within the range of 45-630 mg/dL (R² = 0.9958).
- Simultaneous detection showed minimal differential compared to commercial meters: ≤6.4% for glucose and ≤9.1% for hematocrit.
- The platform proved practical feasibility in analyzing human whole blood samples.
Conclusions:
- The proposed origami μPAD-based system offers a promising solution for simultaneous, cost-effective blood glucose and hematocrit monitoring.
- The integration of smartphone technology and optimized μPAD design enhances POC diagnostic capabilities.
- This technology has the potential to significantly improve accessibility to reliable health monitoring in resource-limited settings.


