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Highly Sensitive and Rapid Fluorescence Detection with a Portable FRET Analyzer
Published on: October 1, 2016
Fluorescence intensity- and lifetime-based glucose sensing using glucose/galactose-binding protein
John C Pickup1, Faaizah Khan, Zheng-Liang Zhi
1Diabetes Research Group, King’s College London School of Medicine, Guy’s Hospital, London, United Kingdom. john.pickup@kcl.ac.uk
Journal of Diabetes Science and Technology
|February 27, 2013
Summary
Researchers are developing advanced in vivo glucose sensors for diabetes using fluorescence technology. Measuring fluorescence lifetime offers advantages for continuous glucose monitoring in real-time.
Area of Science:
- Biomedical Engineering
- Analytical Chemistry
- Biochemistry
Background:
- Diabetes management requires accurate and continuous glucose monitoring.
- Current glucose sensing technologies face limitations for in vivo applications.
- Fluorescence-based biosensors offer potential for sensitive and specific analyte detection.
Purpose of the Study:
- To review progress in developing novel in vivo glucose sensors for diabetes.
- To explore fluorescence labeling strategies for glucose detection.
- To evaluate advanced measurement techniques for enhanced sensor performance.
Main Methods:
- Utilizing glucose/galactose-binding protein labeled with environmentally sensitive fluorophores.
- Employing fluorescence resonance energy transfer (FRET) for glucose-induced signal changes.
- Investigating fluorescence lifetime measurements as an alternative to intensity-based detection.
Main Results:
- Demonstrated feasibility of fluorescence labeling for glucose detection.
- Identified potential advantages of fluorescence lifetime over intensity for in vivo sensing.
- Developed a prototype fiber-optic-based glucose sensor for testing.
Conclusions:
- Fluorescence-based glucose sensors show promise for diabetes management.
- Advanced measurement techniques like fluorescence lifetime offer improved sensing capabilities.
- Ongoing development and testing of prototype sensors are crucial for clinical translation.
