An ultra-low loss balloon-type single stress-applying optical fiber refractive index sensor

IF 5.2 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Measurement Pub Date : 2024-11-13 DOI:10.1016/j.measurement.2024.116186

Yuxi Ma , Ruijie Liu , Bing Han , Qian Cheng , Yiming Tao , Luyao Wang , Riqing Lv , Yong Zhao

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引用次数: 0

Abstract

In the field of refractive index (RI) sensing, macro-bending sensors have been widely studied for their advantages of low loss and easy fabrication. Here, an ultra-low loss balloon-type single stress-applying fiber (SSAF) sensor is demonstrated. The sensor is manufactured by splicing SSAF between two single-mode fibers (SMFs) in a balloon shape. The sensing of different RI solutions is realized based on the strong evanescent field characteristics generated by the SSAF with a stress-sensitive zone during bending. Compared with other macro-bending sensors, the RI sensitivity of the proposed sensor with a bend diameter of 0.95 cm has been doubled, reaching up to 387.09 nm/RIU in the range of 1.3308–1.3628, with a resolution of 0.0013 and a loss of 2.22 dB. The sensor has a compact structure, low processing difficulty, strong reproducibility, and low loss, which provides a new way for the development prospects of biomedical science, environmental monitoring, food safety, etc.

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超低损耗球囊式单应力光纤折射率传感器

在折射率（RI）传感领域，宏弯曲传感器因其低损耗和易于制造的优点而被广泛研究。这里展示的是一种超低损耗气球型单应力施加光纤（SSAF）传感器。该传感器是通过在气球形状的两根单模光纤（SMF）之间拼接 SSAF 而制成的。根据带有应力敏感区的 SSAF 在弯曲过程中产生的强蒸发场特性，实现了对不同 RI 溶液的传感。与其他宏观弯曲传感器相比，弯曲直径为 0.95 cm 的拟议传感器的 RI 灵敏度提高了一倍，在 1.3308-1.3628 范围内达到 387.09 nm/RIU，分辨率为 0.0013，损耗为 2.22 dB。该传感器结构紧凑、加工难度低、重现性强、损耗小，为生物医学、环境监测、食品安全等领域的发展前景提供了一条新途径。

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来源期刊

Measurement 工程技术-工程：综合

CiteScore

10.20

自引率

12.50%

发文量

1589

审稿时长

12.1 months

期刊介绍： Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material, whose ultimate goal is an advancement in the state of the art of: measurement and metrology fundamentals, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures and methodologies for plants and industrial processes, performance analysis of systems, processes and algorithms, mathematical models for measurement-oriented purposes, distributed measurement systems in a connected world.