GST-enhanced fiber SPR curvature sensor

This paper proposes a high-sensitivity surface plasmon resonance (SPR) curvature sensor based on hard polymer-clad fiber (HPCF). The sensor utilizes an HPCF coated with gold and Ge<sub>2</sub>Sb<sub>2</sub>Te<sub>5</sub> (GST), with a layer of polydimethylsiloxane (PDMS) as the sensing medium for curvature measurement. GST enhances the sensor's sensitivity by increasing the dielectric constant of the metal layers. The sensor exhibits high sensitivity and can identify bending direction, with sensitivities of 1.74 nm/m<sup>-1</sup> for positive x-direction bending and 6.21 nm/m<sup>-1</sup> for negative x-direction bending. This sensor offers a novel solution for high-sensitivity curvature measurement with a wide measurement range and directional recognition capabilities.

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Publication Details

Published
2025-05-22
DOI
https://doi.org/10.1117/12.3061161
Citations
1
Primary Topic
Advanced Fiber Optic Sensors
Type
article
Field-Weighted Citation Impact
0.73
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GST-enhanced fiber SPR curvature sensor

Zhuo Ren, Xuhao Ji, Yu Xin Zhang, Jianan Liu et al.
1 citations
Advanced Fiber Optic Sensors
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article

GST-enhanced fiber SPR curvature sensor

Zhuo Ren, Xuhao Ji, Yu Xin Zhang, Jianan Liu, Zhihai Liu, Jiaxin Gao, N. Yu
article en
1 citations

Abstract

This paper proposes a high-sensitivity surface plasmon resonance (SPR) curvature sensor based on hard polymer-clad fiber (HPCF). The sensor utilizes an HPCF coated with gold and Ge<sub>2</sub>Sb<sub>2</sub>Te<sub>5</sub> (GST), with a layer of polydimethylsiloxane (PDMS) as the sensing medium for curvature measurement. GST enhances the sensor's sensitivity by increasing the dielectric constant of the metal layers. The sensor exhibits high sensitivity and can identify bending direction, with sensitivities of 1.74 nm/m<sup>-1</sup> for positive x-direction bending and 6.21 nm/m<sup>-1</sup> for negative x-direction bending. This sensor offers a novel solution for high-sensitivity curvature measurement with a wide measurement range and directional recognition capabilities.

Harbin Engineering University (CN)
Affordable and clean energy
Openalex Percentile: Top 28%
Advanced Fiber Optic Sensors
0.73
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