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D-Shaped POF Sensors for Refractive Index Sensing-The Importance of Surface Roughness
Filipa Sequeira1,2,3, Nunzio Cennamo4, Alisa Rudnitskaya5,6
1Instituto de Telecomunicações, 3810-193 Aveiro, Portugal. fsequeira@av.it.pt.
Surface roughness critically impacts plastic optical fiber (POF) sensor performance. Optimal polishing balances scattering and sensitivity for accurate refractive index (RI) sensing, crucial for applications like water quality assessment.
Area of Science:
- Optoelectronics
- Materials Science
- Sensor Technology
Background:
- Plastic optical fibers (POFs) offer cost-effective solutions for sensing applications.
- D-shaped POFs are utilized for enhanced light-matter interaction in sensing.
- Surface properties significantly influence optical fiber performance.
Purpose of the Study:
- To investigate the effect of surface roughness on the transmission and sensing capabilities of D-shaped POFs.
- To optimize the polishing process for D-shaped POF sensors.
- To determine the optimal surface finish for refractive index (RI) sensing.
Main Methods:
- Fabrication of five D-shaped POF sensors.
- Characterization of sensors for RI sensing within the range of 1.33 to 1.41.
- Utilizing a low-cost optical sensing system measuring transmitted light variations.
- Employing sandpaper polishing with varying grit sizes (e.g., P600) to control surface roughness.
Main Results:
- Increased surface roughness led to higher scattering losses, negatively impacting sensor performance.
- Polishing with P600 sandpaper as the final step yielded the best sensor performance.
- Finer grit polishing reduced scattering and improved linearity but decreased overall sensing performance.
- Achieved a sensor resolution between 10^-3 and 10^-4 RIU.
Conclusions:
- Surface roughness is a critical parameter in the design and fabrication of D-shaped POF sensors.
- Controlled polishing is essential for optimizing POF sensor performance for RI detection.
- These low-cost POF sensors have potential applications in areas like water quality monitoring.
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