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Time-resolved fluorescent imaging of glucose.
Michael Schäferling1, Meng Wu, Otto S Wolfbeis
1Institute of Analytical Chemistry, Chemo- and Biosensors, University of Regensburg, 93040 Regensburg, Germany. michael.schaeferling@chemie.uni-regensburg.de
Journal of Fluorescence
|December 25, 2004
Summary
This study presents a novel fluorescent imaging method for glucose detection. It utilizes a europium(III) tetracycline complex and glucose oxidase to detect hydrogen peroxide, enabling sensitive and straightforward glucose visualization.
Area of Science:
- Biomedical Engineering
- Analytical Chemistry
- Materials Science
Background:
- Accurate glucose monitoring is crucial for diabetes management.
- Existing methods for glucose detection often require catalysts or specific conditions.
- Development of sensitive and user-friendly glucose imaging techniques is needed.
Purpose of the Study:
- To develop a novel method for fluorescent imaging of glucose.
- To utilize enzymatically produced hydrogen peroxide for glucose detection.
- To integrate a Europium(III) tetracycline complex-based fluorescent probe into a hydrophilic polymer layer.
Main Methods:
- Incorporation of a Europium(III) tetracycline complex into a hydrophilic polymer layer.
- Coadsorption of glucose oxidase (GOx) to create sensor layers.
- Integration of sensor layers into a 96-microwell plate for parallel detection.
- Visualization of glucose using time-resolved luminescence lifetime imaging.
Main Results:
- The developed sensor layers respond to hydrogen peroxide produced by GOx-assisted glucose oxidation.
- The method allows for glucose visualization without the need for additional peroxidase or catalysts.
- Lifetime-based imaging was compared to intensity-based methods for sensitivity and dynamic range.
Conclusions:
- The developed sensing scheme offers a reversible and straightforward method for hydrogen peroxide detection at neutral pH.
- This approach simplifies the transducer system and imaging device for glucose monitoring.
- The technique shows promise for sensitive and efficient glucose imaging applications.