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Writing Bragg Gratings in Multicore Fibers
Published on: April 20, 2016
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Non-enzymatic D-glucose plasmonic optical fiber grating biosensor.
Maxime Lobry1, Driss Lahem2, Médéric Loyez3
1Electromagnetism and Telecommunication Department, University of Mons, 31 Bld Dolez, 7000 Mons, Belgium.
Biosensors & Bioelectronics
|July 21, 2019
Summary
We developed a novel non-enzymatic optical fiber sensor for D-glucose detection. This advanced saccharide sensor offers early cancer detection capabilities and overcomes limitations of current enzyme-based methods.
Area of Science:
- Biomedical Engineering
- Analytical Chemistry
- Materials Science
Background:
- Saccharide sensors are crucial for medical diagnostics, especially in early cancer detection.
- Enzyme-based sensors often face limitations in stability and reusability.
- Developing robust, non-enzymatic sensing platforms is essential for improved diagnostics.
Purpose of the Study:
- To present a non-enzymatic optical fiber-based sensor for D-glucose biosensing.
- To utilize plasmon-assisted tilted fiber Bragg gratings (TFBGs) functionalized with polydopamine (PDA)-immobilized concanavalin A (Con A).
- To enable live and accurate monitoring of PDA layer deposition for enhanced surface biochemistry.
Main Methods:
- Fabrication of plasmon-assisted TFBGs.
- Functionalization with polydopamine (PDA) and immobilization of concanavalin A (Con A).
- Surface Plasmon Resonance (SPR) shift analysis for D-glucose detection.
Main Results:
- Demonstrated live monitoring of PDA layer deposition with an SPR shift of 3.83 ± 0.05 nm within 20 min for a 2 mg/mL dopamine solution.
- Achieved a limit of detection close to 10⁻⁷ M for D-glucose.
- Exhibited highest sensitivity in the 10⁻⁶ to 10⁻⁴ M range for D-glucose solutions.
Conclusions:
- The developed non-enzymatic optical fiber sensor shows high sensitivity and a low limit of detection for D-glucose.
- This platform offers a promising alternative to conventional enzyme-based saccharide sensors.
- The sensor's capabilities support advancements in early-stage cancer detection through improved biosensing.
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