Fast, Multiple-Use Optical Biosensor for Point-of-Care Glucose Detection with Mobile Devices Based on Bienzyme
Joana F Braz1, Nadya V Dencheva1, Shafagh D Tohidi2
1IPC-Institute for Polymers and Composites, University of Minho, 4800-056 Guimarães, Portugal.
Polymers
|July 14, 2023
Summary
A new colorimetric biosensor detects glucose in urine non-invasively. This rapid, reusable device offers a promising tool for personal diabetes monitoring and point-of-care testing.
Area of Science:
- Biomedical Engineering
- Analytical Chemistry
- Biosensor Technology
Background:
- Non-invasive glucose monitoring is crucial for diabetes management.
- Current methods often require invasive procedures or complex equipment.
- Point-of-care testing needs affordable, sensitive, and rapid diagnostic tools.
Purpose of the Study:
- To develop and analyze a novel colorimetric biosensor for glucose detection in human urine.
- To evaluate the analytical performance and stability of the developed biosensor.
- To explore the potential for non-invasive, personal diabetes screening.
Main Methods:
- Synthesis of porous polyamide microparticles as a support matrix.
- Immobilization of glucose oxidase (GOx) and horseradish peroxidase (HRP) enzymes.
- Development of a colorimetric assay using 3,3',5,5'-tetramethylbenzidine (TMB) chromogen and CIELab image processing.
Main Results:
- The consecutively immobilized enzyme system (GH@PA-C) demonstrated superior activity.
- A linear correlation was observed between color difference and glucose concentration (0.01–3.0 mM) in urine.
- The biosensor exhibited rapid response (20 s), a low detection limit (30.7 µM), wide pH stability (4–8), and long-term storage stability (30 days).
- The biosensor allowed for multiple consecutive uses without significant performance degradation.
Conclusions:
- The developed colorimetric biosensor is effective for non-invasive glucose determination in urine.
- Its high sensitivity, stability, reusability, and ease of use support its application in point-of-care diagnostics.
- This technology holds potential for routine, personal diabetes monitoring and early detection.


