Highly sensitive SPR curvature sensor based on graded-index fiber

Author:

Liu Chunbiao,Liu Chunlan,Wei Yong,Shi Chen,Wang Rui,Wang XingkaiORCID,Ren Puxi,Tang Yixiong,Liu Zhihai1,Zhang Yu1ORCID

Affiliation:

1. Harbin Engineering University

Abstract

At present, fiber curvature sensors based on surface plasmon resonance (SPR) are mostly of the multimode fiber core type or cladding type. These types have many SPR modes, resulting that the sensitivity cannot be adjusted and is difficult to improve. In this Letter, a highly sensitive SPR curvature sensor based on graded-index fiber is proposed. The light-injecting fiber is eccentrically connected with the graded-index fiber to inject single-mode light. Due to the self-focusing effect, the light beam propagates in the graded-index multimode fiber with a cosine trajectory, and the cosine beam contacts the flat grooved sensing region fabricated on the graded-index fiber to generate SPR. Due to the single transmission mode of the proposed fiber SPR sensor, the curvature sensing sensitivity is greatly improved. By changing the light injection position of the graded-index multimode fiber, the sensitivity can be adjusted. The proposed curvature sensing probe has a high sensitivity and can identify the bending direction. When bending in the X direction, the sensitivity reaches 5.62 nm/m−1, and when bending in the − X direction, the sensitivity reaches 4.75 nm/m−1, which provides a new scheme for highly sensitive and directionally identifiable curvature measurement.

Funder

Foundation of Intelligent Ecotourism Subject Group of Chongqing Three Gorges University

Open Project Program of Key Laboratories of Sensing and Application of Intelligent Optoelectronic System in Sichuan Provincial Universities,

Open Project Program of Chongqing Key Laboratory of Development and Utilization of Genuine Medicinal Materials in Three Gorges Reservoir Area

Fundamental Research Funds for Chongqing Three Gorges University of China

Open Project Program of Chongqing Key Laboratory of Geological Environment Monitoring and Disaster Early-Warning in Three Gorges Reservoir Area

Science and Technology Project Affiliated to the Education Department of Chongqing Municipality

National Natural Science Foundation of China

Publisher

Optica Publishing Group

Subject

Atomic and Molecular Physics, and Optics

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