Literature DB >> 21556104

Surface-plasmon-resonance-based fiber-optic refractive index sensor: sensitivity enhancement.

Priya Bhatia1, Banshi D Gupta.   

Abstract

We have experimentally studied the surface plasmon resonance (SPR)-based fiber-optic refractive index sensor incorporating a high-index dielectric layer using the wavelength interrogation method. Silver and gold have been used as SPR active metals followed by a high-index dielectric layer of silicon. Experimental results predict a redshift in the resonance wavelength with the increase in the refractive index of the sensing layer for a given thickness of the silicon layer. Further, as the thickness of the silicon layer increases, the sensitivity of the sensor increases. The upper limit of the silicon film thickness for the enhancement of the sensitivity has been found to be around 10 nm. The experimental results obtained on sensitivity match qualitatively with the theoretical results obtained using the N-layer model and the ray approach. The increase in sensitivity is due to the increase in the electric field intensity at the silicon-sensing-region interface. In addition to an increase in sensitivity, the silicon layer can be used to tune the resonance wavelength and can protect the metal layer from oxidation and hence can improve the durability of the probe.

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Year:  2011        PMID: 21556104     DOI: 10.1364/AO.50.002032

Source DB:  PubMed          Journal:  Appl Opt        ISSN: 1559-128X            Impact factor:   1.980


  10 in total

1.  Generalized figure of merit for plasmonic dip measurement-based surface plasmon resonance sensors.

Authors:  Treesukon Treebupachatsakul; Apivitch Boosamalee; Kamejira Chaithatwanitch; Suejit Pechprasarn
Journal:  Biomed Opt Express       Date:  2022-03-02       Impact factor: 3.562

Review 2.  A review of refractometric sensors based on long period fibre gratings.

Authors:  G Rego
Journal:  ScientificWorldJournal       Date:  2013-12-18

3.  Refractive Index Sensor Based on Fano Resonances in Metal-Insulator-Metal Waveguides Coupled with Resonators.

Authors:  Yue Tang; Zhidong Zhang; Ruibing Wang; Zhenyin Hai; Chenyang Xue; Wendong Zhang; Shubin Yan
Journal:  Sensors (Basel)       Date:  2017-04-06       Impact factor: 3.576

4.  Plasmonic Optical Fiber Sensor Based on Double Step Growth of Gold Nano-Islands.

Authors:  José M M M de Almeida; Helena Vasconcelos; Pedro A S Jorge; Luis Coelho
Journal:  Sensors (Basel)       Date:  2018-04-20       Impact factor: 3.576

Review 5.  A Review of Multimode Interference in Tapered Optical Fibers and Related Applications.

Authors:  Pengfei Wang; Haiyan Zhao; Xianfan Wang; Gerald Farrell; Gilberto Brambilla
Journal:  Sensors (Basel)       Date:  2018-03-14       Impact factor: 3.576

6.  High Sensitivity Surface Plasmon Resonance Sensor Based on Two-Dimensional MXene and Transition Metal Dichalcogenide: A Theoretical Study.

Authors:  Yi Xu; Yee Sin Ang; Lin Wu; Lay Kee Ang
Journal:  Nanomaterials (Basel)       Date:  2019-01-29       Impact factor: 5.076

7.  Method for Determining the Plasmon Resonance Wavelength in Fiber Sensors Based on Tilted Fiber Bragg Gratings.

Authors:  Egor Manuylovich; Kirill Tomyshev; Oleg V Butov
Journal:  Sensors (Basel)       Date:  2019-09-30       Impact factor: 3.576

8.  Off-axis microsphere photolithography patterned nanohole array and other structures on an optical fiber tip for glucose sensing.

Authors:  Jiayu Liu; Ibrahem Jasim; Tao Liu; Jie Huang; Edward Kinzel; Mahmoud Almasri
Journal:  RSC Adv       Date:  2021-07-28       Impact factor: 4.036

9.  Numerical Analysis of a Highly Sensitive Surface Plasmon Resonance Sensor for SARS-CoV-2 Detection.

Authors:  Syed Mohammad Ashab Uddin; Sayeed Shafayet Chowdhury; Ehsan Kabir
Journal:  Plasmonics       Date:  2021-05-25       Impact factor: 2.404

10.  High Sensitivity Surface Plasmon Resonance Sensor Based on Periodic Multilayer Thin Films.

Authors:  Haoyuan Cai; Shihan Shan; Xiaoping Wang
Journal:  Nanomaterials (Basel)       Date:  2021-12-15       Impact factor: 5.076

  10 in total

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