Sandwich structured Ω-shaped fiber optic-based sensor with dual signals for simultaneous temperature and refractive index detection

Measurements of refractive index (RI) and temperature play a vital role in a wide range of applications. Nevertheless, cross-sensitivity remains a major obstacle when RI and temperature need to be measured simultaneously. In this study, a novel sandwich structured Ω-shaped fiber optic-based sensor was designed and fabricated. The sensing structure was prepared by splicing a no core fiber (NCF) segment between two single mode fibers (SMFs), followed by bending the SMF-NCF-SMF structure into an Ω shape. After the sandwich nanolayer was deposited on the fiber surface, the Ω-shaped bending region promoted leakage of the core mode into cladding modes, thereby inducing a localized surface plasmon resonance (LSPR) response. Meanwhile, mode mismatch effect at the SMF-NCF interface excited Mach-Zehnder interference (MZI) signal. The LSPR and MZI components were effectively separated using fast Fourier transform (FFT) combined with filtering, which allowed RI and temperature to be detected independently. The sensitivities of the LSPR and MZI signals to RI were 3.29 (a.u)/RIU and 2.94 (a.u)/RIU, respectively. Meanwhile their sensitivities to temperature were −0.0009 (a.u)/°C and −0.0007 (a.u)/°C, respectively. These results demonstrate that the sandwich nanolayer modified sandwich structured Ω-shaped fiber sensor provides an effective platform for simultaneous dual-parameter detection.

Authors

Institutions

Publication Details

Journal
Optical Fiber Technology
Published
2026-09-24
DOI
https://doi.org/10.1016/j.yofte.2026.104817
Primary Topic
Advanced Fiber Optic Sensors
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Sandwich structured Ω-shaped fiber optic-based sensor with dual signals for simultaneous temperature and refractive index detection

Ruixue Zhou, Jingjing Song, Runzhe Wang, Jianxiong Dai et al.
Optical Fiber Technology
Advanced Fiber Optic Sensors
article

Sandwich structured Ω-shaped fiber optic-based sensor with dual signals for simultaneous temperature and refractive index detection

Ruixue Zhou, Jingjing Song, Runzhe Wang, Jianxiong Dai, Hongtao Li, Wangkang Shen, Jinlin Xiong, Zewei Luo, Yixiang Duan, Mengmeng Wang, Kun Xu, Dandan Li, Xing Guo
article en

Abstract

Measurements of refractive index (RI) and temperature play a vital role in a wide range of applications. Nevertheless, cross-sensitivity remains a major obstacle when RI and temperature need to be measured simultaneously. In this study, a novel sandwich structured Ω-shaped fiber optic-based sensor was designed and fabricated. The sensing structure was prepared by splicing a no core fiber (NCF) segment between two single mode fibers (SMFs), followed by bending the SMF-NCF-SMF structure into an Ω shape. After the sandwich nanolayer was deposited on the fiber surface, the Ω-shaped bending region promoted leakage of the core mode into cladding modes, thereby inducing a localized surface plasmon resonance (LSPR) response. Meanwhile, mode mismatch effect at the SMF-NCF interface excited Mach-Zehnder interference (MZI) signal. The LSPR and MZI components were effectively separated using fast Fourier transform (FFT) combined with filtering, which allowed RI and temperature to be detected independently. The sensitivities of the LSPR and MZI signals to RI were 3.29 (a.u)/RIU and 2.94 (a.u)/RIU, respectively. Meanwhile their sensitivities to temperature were −0.0009 (a.u)/°C and −0.0007 (a.u)/°C, respectively. These results demonstrate that the sandwich nanolayer modified sandwich structured Ω-shaped fiber sensor provides an effective platform for simultaneous dual-parameter detection.

Optical Fiber TechnologyVol. 103
North Sichuan Medical University (CN), Chengdu Medical College (CN), Sichuan University (CN), West China Hospital of Sichuan University (CN), Chengdu University (CN)
Openalex Percentile: Top 22%
Advanced Fiber Optic Sensors
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.