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A Silicon-tipped Fiber-optic Sensing Platform with High Resolution and Fast Response
Published on: January 7, 2019
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Spatially Modulated Fiber Speckle for High-Sensitivity Refractive Index Sensing.
Penglai Guo1,2, Huanhuan Liu2,3,4, Zhitai Zhou2
1School of Computer Science and Engineering, Faculty of Innovation Engineering, Macau University of Science and Technology, Avenida Wai Long, Taipa, Macau 999078, China.
Sensors (Basel, Switzerland)
|August 12, 2023
Summary
A novel fiber speckle sensor (FSS) using tapered multimode fiber (TMMF) accurately measures liquid refractive index (RI). Offset techniques significantly boost sensitivity, offering a cost-effective solution for ocean sensing.
Area of Science:
- Photonics and Sensing Technologies
- Optical Fiber Sensors
- Biomedical and Environmental Sensing
Background:
- Refractive index (RI) sensing is crucial for analyzing liquid properties.
- Existing fiber optic sensors face challenges in sensitivity and cost-effectiveness.
- Tapered multimode fibers offer unique modal properties for sensing applications.
Purpose of the Study:
- To develop a fiber speckle sensor (FSS) for liquid analyte refractive index (RI) measurement.
- To investigate the impact of input light offset on FSS performance.
- To demonstrate the potential of FSS for ocean-sensing applications.
Main Methods:
- Fabrication of a tapered multimode fiber (TMMF) based sensor.
- Excitation of high-order modes via lateral and axial light offset.
- Utilizing digital image correlation with zero-mean normalized cross-correlation for RI analysis.
- Characterization of sensor performance at 1550 nm.
Main Results:
- Lateral and axial offsets enhanced RI sensitivity from 6.41 to 19.52 RIU⁻¹.
- Achieved an RI resolution of 5.84 × 10⁻⁵.
- Demonstrated a linear response range from 1.3164 to 1.3588.
- The FSS exhibited a simple, efficient, and economic approach to RI sensing.
Conclusions:
- The developed TMMF-based FSS offers enhanced sensitivity and resolution for RI sensing.
- Input light offset is a key factor in optimizing FSS performance.
- The FSS shows significant potential for image-based ocean-sensing applications.
