A D-type fiber based symmetrical long-range surface plasmon resonance sensor with high quality factor

被引:25
作者
Jing, Jian-Ying [1 ]
Li, Si-Yuan [3 ]
Wang, Xue-Zhou [1 ]
Zhu, Qi [3 ]
Meng, Fan-Li [1 ]
Wang, Qi [1 ,2 ]
机构
[1] Northeastern Univ, Coll Informat Sci & Engn, Shenyang 110819, Liaoning, Peoples R China
[2] Northeastern Univ, State Key Lab Synthet Automat Proc Ind, Shenyang 110819, Liaoning, Peoples R China
[3] Northeastern Univ, Sch Mat Sci & Engn, Shenyang 110819, Liaoning, Peoples R China
基金
中国国家自然科学基金;
关键词
Long-range surface plasmon resonance; D-type fiber; Transfer matrix method; High quality factor;
D O I
10.1016/j.measurement.2019.03.078
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
A D-type fiber based symmetrical long-range surface plasmon resonance (sLRSPR) sensor with high quality factor (Q-F) as high as 107.52 RIU-1 was proposed and experimentally demonstrated. The sensing structure of the proposed sensor consisted of fiber/dielectric buffer layer (DBL)/Au film/DBL/analyte, and the DBLs on both sides of the Au film in the sLRSPR sensor were identical, which greatly increased the permittivity matching degree between the analyte and the DBL near the D-type fiber, and reduced the loss of long-range surface plasmon polaritons. For LRSPR sensor, the closer the permittivities of DBL and analyte on both sides of metal film are, the easier the LRSPR is to stimulate, and thus the proposed sensor possessed higher sensitivity and higher detection accuracy. The transfer matrix method supported by the finite-difference beam propagation method and the finite element analysis was employed to optimize the sensor parameters for the first time. The refractive index sensing performance of the conventional SPR (cSPR) sensor, the conventional LRSPR (cLRSPR) sensor, and the sLRSPR sensor with optimal parameters were systematically researched by simulation and in-depth experiment. The results suggested that the sensing performance of the sLRSPR sensor was better than that of the other two sensors. This paper provided a meaningful advancement for designing an optical fiber SPR sensor with remarkable performance to measure biomass. (C) 2019 Elsevier Ltd. All rights reserved.
引用
收藏
页码:395 / 406
页数:12
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