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Published on: January 7, 2019
Tapered plastic optical fiber-based biosensor--tests and application
Carolina Beres1, Fábio Vieira Batista de Nazaré, Nathália Correa Chagas de Souza
1Photonics and Instrumentation Laboratory, Federal University of Rio de Janeiro, Cidade Universitária, Rio de Janeiro, Brazil.
Biosensors & Bioelectronics
|October 14, 2011
Summary
Plastic optical fiber (POF) biosensors offer a rapid method for cell detection. U-shaped POF tapers with specific diameters show enhanced sensitivity for detecting bacteria, yeast, and erythrocytes in various samples.
Area of Science:
- Biomedical Engineering
- Materials Science
- Microbiology
Background:
- Cell detection is vital for analyzing clinical, food, water, and environmental samples.
- Current cell detection methods are often time-consuming.
- Plastic optical fiber (POF) biosensors present a promising alternative for rapid and cost-effective detection.
Purpose of the Study:
- To investigate the sensitivity of POF tapers for microbiological detection.
- To evaluate the impact of geometric parameters, specifically taper waist diameter, on sensor performance.
- To optimize POF taper characteristics for enhanced sensitivity.
Main Methods:
- Fabrication of a series of POF taper sensors using a specialized tapering machine.
- Evaluation of geometric dimension dispersion to identify optimal tapering characteristics.
- Chemical treatment of selected fiber tapers to function as immunosensors.
Main Results:
- U-shaped (bended) fiber tapers demonstrated the finest results.
- Optimal taper waist diameters for enhanced sensitivity ranged from 0.40 mm to 0.50 mm.
- These optimized tapers were successfully employed as immunosensors.
Conclusions:
- Optimized POF taper geometry, particularly U-shaped configurations with specific waist diameters, significantly enhances biosensor sensitivity.
- POF taper biosensors are effective for the rapid detection of bacteria, yeast, and erythrocytes.
- This technology offers a viable alternative to traditional time-consuming cell detection methods.

