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Thermal Measurement Techniques in Analytical Microfluidic Devices

Thermal Measurement Techniques in Analytical Microfluidic Devices

Published on: June 3, 2015

NFC-enabled photothermal-based microfluidic paper analytical device for glucose detection.

Kawin Khachornsakkul^1,2, Ruben Del-Rio-Ruiz^1,2, Cihan Asci^1,2

¹Department of Electrical and Computer Engineering, Tufts University, Medford, MA 02155, USA. Kawin.khachornsakkul@tufts.edu.

|June 5, 2024

Summary

This study presents an enzyme-free glucose sensor using a photothermal microfluidic paper analytical device (PT-µPAD) with gold nanoparticles and smartphone readout. This novel approach offers sensitive, selective, and affordable glucose quantification for point-of-care diagnostics.

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Area of Science:

Analytical Chemistry
Materials Science
Biomedical Engineering

Background:

Accurate glucose monitoring is crucial for diabetes management.
Existing methods often rely on enzymes or complex instrumentation, limiting accessibility.
There is a need for cost-effective, sensitive, and selective glucose detection methods.

Purpose of the Study:

To develop an enzyme-free photothermal microfluidic paper analytical device (PT-µPAD) for glucose quantification.
To integrate near-field communication (NFC) technology for smartphone-based readout.
To demonstrate the potential for accessible and affordable point-of-care glucose sensing.

Main Methods:

Utilized gold nanoparticles (AuNPs) as both nanozymes and photothermal substrates.
Generated hydrogen peroxide (H2O2) from glucose catalysis to etch AuNPs.
Employed photothermal detection via plasmonic heating of AuNPs upon LED illumination.
Integrated the PT-µPAD with a portable NFC platform for smartphone readout.

Main Results:

Achieved a linear detection range of 5.0–20.0 µmol L⁻¹ (R² = 0.9967) and a limit of detection (LOD) of 25.0 nmol L⁻¹.
Demonstrated remarkable selectivity for glucose without interference from other substances.
Obtained high accuracy (99.73–102.66% recovery) and precision (RSD ≤ 3.53%) in human samples.
Showcased superior sensitivity compared to conventional µPADs.

Conclusions:

The developed PT-µPAD offers a sensitive, selective, and enzyme-free method for glucose quantification.
Integration with NFC and smartphone readout enables accessible and affordable point-of-care diagnostics.
The platform holds promise for detecting other biomarkers and advancing personalized healthcare.