Numerical simulation of a truncated cladding negative curvature fiber sensor based on the surface plasmon resonance effect

Zhichao Zhang, Jinhui Yuan, Shi Qiu, Guiyao Zhou, Xian Zhou, Binbin Yan, Qiang Wu, Kuiru Wang, Xinzhu Sang

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

A refractive index (RI) sensor based on the surface plasmon resonance effect is proposed using a truncated cladding negative curvature fiber (TC-NCF). The influences of the TC-NCF structure parameters on the sensing performances are investigated and compared with the traditional NCF. The simulation results show that the proposed TC-NCF RI sensor has an ultra-wide detection range from 1.16 to 1.43. The maximum wavelength sensitivity reaches 12400 nm/RIU, and the corresponding R 2 of the polynomial fitting equation is 0.9999. The maximum and minimum resolutions are 2.56 × 10−5 and 8.06 × 10−6, respectively. In addition, the maximum amplitude sensitivity can reach -379.1 RIU−1 when the RI is chosen as 1.43. The proposed TC-NCF RI sensor could be useful in biochemical medicine, environmental monitoring, and food safety.

Original languageEnglish
Article number034208
Pages (from-to)1-9
Number of pages9
JournalChinese Physics B
Volume32
Issue number3
DOIs
Publication statusPublished - 1 Mar 2023

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