A stretchable and screen-printed electrochemical sensor for glucose determination in human perspiration
A Abellán-Llobregat1, Itthipon Jeerapan2, A Bandodkar2
1Instituto Universitario de Materiales, Universidad de Alicante, Apartado 99, 03080 Alicante, Spain.
We developed printable, stretchable, and affordable platinum-decorated graphite sensors for glucose monitoring. These biosensors accurately measure glucose in human perspiration, correlating well with blood glucose levels.
Area of Science:
- Electrochemistry
- Biosensors
- Materials Science
Background:
- Accurate glucose monitoring is crucial for diabetes management.
- Existing methods can be invasive or expensive.
- Development of low-cost, wearable glucose sensors is needed.
Purpose of the Study:
- To develop and evaluate printable, stretchable, and inexpensive glucose biosensors.
- To assess the performance of enzymatic biosensors for glucose determination in physiological fluids.
- To explore the potential for non-invasive, on-body glucose monitoring.
Main Methods:
- Fabrication of platinum (Pt)-decorated graphite-based sensors.
- Enzymatic biosensor utilizing glucose oxidase immobilized on Pt-decorated graphite.
- Chronoamperometric detection of hydrogen peroxide (H2O2) reduction at -0.35V (vs pseudo-Ag/AgCl).
- Testing in phosphate buffer solution (0.25M PBS, pH 7.0) and real human perspiration samples.
Main Results:
- The enzymatic biosensor demonstrated excellent performance in phosphate buffer solution with a linear range of 0 mM to 0.9 mM.
- High sensitivity, selectivity, and a low limit of detection (LOD) were achieved.
- Successful application in real human perspiration samples.
- Significant correlation observed between perspiration glucose concentration and blood glucose levels measured by a commercial meter.
Conclusions:
- Printable, stretchable, and inexpensive Pt-decorated graphite biosensors offer a viable alternative for glucose determination.
- The developed enzymatic biosensor shows promise for non-invasive, on-body glucose monitoring.
- This technology could provide a convenient and cost-effective tool for diabetes management.
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