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Plasmonic Optical Fiber Based Continuous in-Vivo Glucose Monitoring for ICU/CCU Setup
This study presents a novel optical fiber sensor for continuous blood biomarker monitoring, ideal for critical care. The device uses gold nanoparticles and microdialysis for enhanced sensitivity and prolonged performance in real-time glucose detection.
Area of Science:
- Biomedical Engineering
- Nanotechnology
- Analytical Chemistry
Background:
- Continuous monitoring of biomarkers is crucial for critical care patients in Intensive Care Units (ICU) and Cardiac Care Units (CCU).
- Existing continuous monitoring devices face challenges with biofouling and limited sensitivity in direct blood measurements.
- Rapid and accurate biomarker measurement is essential for timely medical intervention.
Purpose of the Study:
- To develop and validate a novel sensor architecture for continuous, direct blood biomarker monitoring.
- To enhance sensor sensitivity and longevity by mitigating biofouling issues.
- To demonstrate the proof-of-concept for in-vivo glucose monitoring using the proposed sensor system.
Main Methods:
- An optical fiber sensor functionalized with gold nanoparticles (NPs) for localized surface plasmon resonance (LSPR) sensing.
- Integration of a microdialysis probe to prevent sensor fouling by blood cells and debris.
- In-vivo testing in a rat model for continuous glucose monitoring in circulation.
Main Results:
- The sensor architecture demonstrated highly sensitive opto-chemical sensing of glucose.
- The microdialysis probe effectively prevented sensor fouling, enabling prolonged monitoring.
- Achieved a sensitivity of 0.0354 a.u./mg.dL and a detection limit of 50.89 mg/dL for glucose in-vivo.
Conclusions:
- The developed optical fiber sensor with gold nanoparticles and microdialysis offers a promising platform for continuous in-vivo biomarker monitoring.
- This technology has the potential to significantly improve patient care in critical settings by providing real-time physiological data.
- The sensor design addresses key limitations of current continuous monitoring systems, offering enhanced sensitivity and durability.
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