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Updated: Aug 1, 2026

Thermal Measurement Techniques in Analytical Microfluidic Devices
Published on: June 3, 2015
Nanomaterials integrated with microfluidic paper-based analytical devices for enzyme-free glucose quantification
Kawin Khachornsakkul1, Frank John Rybicki1, Sameer Sonkusale1
1Department of Electrical and Computer Engineering, Tufts University, Medford, MA, 02155, USA; Nano Lab, Tufts University, Medford, MA, 02155, USA.
This study presents an enzyme-free method for glucose monitoring using nanomaterials in paper-based devices. The developed approach offers rapid, selective, and cost-effective glucose quantification for potential point-of-care diagnostics.
Area of Science:
- Nanotechnology
- Analytical Chemistry
- Biomedical Engineering
Background:
- Enzyme-based glucose sensing is crucial for diabetes management but faces challenges with cost and stability.
- Microfluidic paper-based analytical devices (μPADs) offer a promising platform for low-cost diagnostics.
- Developing enzyme-free glucose quantification methods is essential for accessible healthcare.
Purpose of the Study:
- To develop an enzyme-free glucose sensing system integrated into μPADs.
- To utilize gold nanoparticles (AuNPs) and silver nanoparticles (AgNPs) for sensitive and selective glucose detection.
- To enable colorimetric glucose readout compatible with smartphone monitoring.
Main Methods:
- Integration of AuNPs as a nanozyme and AgNPs as a colorimetric probe into μPADs.
- Enzyme-free oxidation of glucose by AuNPs, generating hydrogen peroxide (H2O2).
- Colorimetric detection of H2O2 via etching of AgNPs, monitored by smartphone.
Main Results:
- Achieved a linear range of 0.50–10.0 mmol L−1 with R2 = 0.9921.
- Obtained a detection limit (LOD) of 340.0 μmol L−1, within the clinically relevant range.
- Demonstrated high selectivity, recovery (98.47–102.34%), and low RSD (3.58%) in human samples within 20 minutes.
Conclusions:
- The developed enzyme-free nanozyme-based μPAD provides a cost-effective and stable alternative to traditional glucose sensors.
- This technology holds significant potential for point-of-care (POC) diabetes diagnosis, especially in resource-limited settings.
- Smartphone-based readout enhances accessibility and usability for widespread diagnostic applications.
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