Simultaneous Measurement of Salinity and Temperature Based on Hybrid-Interferometer
A compact hybrid-interferometer-based fiber sensor integrating the C-shaped Fabry–Perot interferometer (FPI) and Mach–Zehnder interferometer (MZI) is put forward and verified. The C-shaped FPI formed by a section of hollow core fiber (HCF) spliced between a single-mode fiber (SMF) and a few-mode fiber (FMF) and opened up by femtosecond laser inscribing technology is sensitive to salinity and temperature. While the MZI constructed by a single stress-applying fiber (SSAF) between two FMFs with a large lateral offset and covered by Polydimethylsiloxane (PDMS) is for temperature measurement only. Combined with the properties of the two interferometers, the quadratic polynomial surface fitting algorithm is adopted to solve the nonlinear response and cross-sensitivity of temperature and salinity to figure out a more precise result. According to the experimental results, the proposed sensor could achieve a high sensitivity of 12.05 nm/‰ in the salinity range of 0‰–40‰ by cavity length demodulation, and −3.33 nm/°C in the temperature range of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$5~^{\circ }$ </tex-math></inline-formula>C<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\sim 40~^{\circ }$ </tex-math></inline-formula>C by wavelength demodulation, respectively. After the processing of the quadratic polynomial surface fitting algorithm, the indication errors of salinity and temperature are 1.44% and 2.6%, respectively.
Authors
- Hong-kun Zheng
- Ruijie Liu (ORCID: https://orcid.org/0000-0001-6167-8673)
- Ri-Qing Lv (ORCID: https://orcid.org/0000-0002-2522-6335)
- R. S. Gao (ORCID: https://orcid.org/0000-0001-6985-1637)
- Yong Zhao (ORCID: https://orcid.org/0000-0002-2041-4580)
Institutions
- Northeastern University (CN)
Publication Details
- Journal
- IEEE Sensors Journal
- Published
- 2025-08-11
- DOI
- https://doi.org/10.1109/jsen.2025.3595709
- Primary Topic
- Soil Moisture and Remote Sensing
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Hebei Province
- Fundamental Research Funds for the Central Universities