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Photonic sensor to detect rapid changes in CRP levels.
Małgorzata Szczerska1, Monika Kosowska2, Roman Viter3
1Department of Metrology and Optoelectronics, Faculty of Electronics, Telecommunications and Informatics, Gdansk University of Technology, Gdansk, Poland.
Journal of Biophotonics
|October 17, 2022
Summary
A novel sensor for C-reactive protein (CRP) offers rapid and sensitive inflammation detection. This low-coherence interference system provides a cost-effective, user-friendly alternative for diagnosing cardiovascular risks and infections.
Area of Science:
- Biomedical Engineering
- Clinical Diagnostics
- Biomarker Detection
Background:
- C-reactive protein (CRP) is a crucial biomarker for inflammation, cardiovascular event risk, and infection diagnosis.
- Elevated CRP levels indicate inflammation and can increase significantly within hours.
- Current diagnostic methods like ELISA are time-consuming and require trained personnel.
Purpose of the Study:
- To develop and present a novel sensor for rapid and sensitive C-reactive protein (CRP) detection.
- To offer a cost-effective and user-friendly alternative to existing CRP measurement techniques.
- To evaluate the sensor's performance in terms of sensitivity and measurement time.
Main Methods:
- Development of a sensor system utilizing low-coherence interference principles.
- Utilizing commercially available components for system construction to minimize production costs.
- Testing the sensor's performance in preliminary studies.
Main Results:
- The developed sensor demonstrates high sensitivity, with preliminary studies showing 5.65 μg/L.
- Achieved rapid measurement times of less than 10 minutes.
- The system is designed for user-friendly operation, requiring minimal training.
Conclusions:
- The low-coherence interference sensor is a promising tool for C-reactive protein (CRP) diagnostics.
- It offers a significant advantage over traditional methods like ELISA due to speed, cost, and ease of use.
- This technology could improve the accessibility and efficiency of inflammation and infection diagnostics.

