Theoretical Study of Surface Plasmon Resonance-based Fiber Optic Sensor Utilizing Cobalt and Nickel Films

Shukla, Sarika; Sharma, Navneet K.; Sajal, Vivek

doi:10.1007/s13538-016-0406-7

Cited by 34 publications

(11 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The dielectric constant of nickel (Ni) is calculated from the Drude model, Here λ p and λ c are the plasma wavelength and collision wavelength of the metal. For Ni, λ p = 2.5381×10 -7 m and λ c = 2.8409×10 -5 m respectively (Shukla et al 2016). The refractive index of the host component (ZnO) at 633 nm is 1.98 (Kushwaha et al 2018).…”

Section: Theory Mathematical Modeling and Performance Parameter Of The Spr Biosensormentioning

confidence: 99%

“…Sarika Shukla et al analyzed fiber based SPR sensor utilizing cobalt and nickel layers as plasmonic materials. They suggested that the utilization of magnetic materials such as Co and Ni in place of noble metals such as gold and silver not only curtails the cost of the SPR sensor but greatly improved its sensitivity (Shukla et al 2016). Nisha et al (2019) recently reported that the hybrid structure consisting of Ni over Au with addition layer of 2D material MoS 2 on BK7 prism subsequently improved the sensitivity as high as 229°/RIU.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Sensitivity enhancement of SPR sensor using Ni/ZnO nanocomposite assisted with graphene

Maheswari¹,

Santhanakumar²,

Nisha

et al. 2021

Opt Quant Electron

View full text Add to dashboard Cite

In this paper the performance of surface plasmon resonance (SPR) biosensor in modified kretchmann configuration utilizing nanocomposite layer consisting of nickel and ZnO as plasmonic material is analyzed numerically using N-layered transfer matrix method. The performance parameters of proposed sensor are investigated in terms of sensitivity (S), detection accuracy (DA) and quality factor (QF) at the operating wavelength of 633 nm. Parameters such as the influence of refractive index of the coupling prism, the thickness of the nanocomposite layer, the constituent components of the nanocomposite layer and the number of the graphene layers over the nanocomposite layer are investigated and the optimal values are identified to achieve maximum sensitivity. The numerical results shows that upon suitable optimization of the above parameters, the proposed SPR sensor is found to exhibits sensitivity as high as 378.34°/RIU with quality factor (QF) as 39.78/RIU. Compared with existing similar type of SPR sensors, the proposed sensor exhibits higher sensitivity, lower FWHM and better quality factor which would make our design to have more applications in the field of biosensor.

show abstract

Section: Theory Mathematical Modeling and Performance Parameter Of The Spr Biosensormentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Sensitivity enhancement of SPR sensor using Ni/ZnO nanocomposite assisted with graphene

Maheswari¹,

Santhanakumar²,

Nisha

et al. 2021

Opt Quant Electron

View full text Add to dashboard Cite

show abstract

“…Nickel (Ni), a ferromagnetic metal, is also gaining interest due to its notable magneto-optical and magnetic properties and being a good light absorber. Using inert magnetic metals minimizes the cost of the SPR sensor while simultaneously considerably improving its performance [20][21][22].…”

Section: Introductionmentioning

confidence: 99%

Numerical Study to Enhance the Sensitivity of a Surface Plasmon Resonance Sensor with BlueP/WS2-Covered Al2O3-Nickel Nanofilms

et al. 2022

View full text Add to dashboard Cite

In the traditional surface plasmon resonance sensor, the sensitivity is calculated by the usage of angular interrogation. The proposed surface plasmon resonance (SPR) sensor uses a diamagnetic material (Al2O3), nickel (Ni), and two-dimensional (2D) BlueP/WS2 (blue phosphorous-tungsten di-sulfide). The Al2O3 sheet is sandwiched between silver (Ag) and nickel (Ni) films in the Kretschmann configuration. A mathematical simulation is performed to improve the sensitivity of an SPR sensor in the visible region at a frequency of 633 nm. The simulation results show that an upgraded sensitivity of 332°/RIU is achieved for the metallic arrangement consisting of 17 nm of Al2O3 and 4 nm of Ni in thickness for analyte refractive indices ranging from 1.330 to 1.335. The thickness variation of the layers plays a curial role in enhancing the performance of the SPR sensor. The thickness variation of the proposed configuration containing 20 nm of Al2O3 and 1 nm of Ni with a monolayer of 2D material BlueP/WS2 enhances the sensitivity to as high as 374°/RIU. Furthermore, it is found that the sensitivity can be altered and managed by means of altering the film portions of Ni and Al2O3

show abstract

“…So, the dielectric material (2D material) attracted significant interest due to its optical and mechanical properties for enhancement of sensitivity [19]. Ni as a plasmonic metal has been used due to its low cost to improve the sensitivity of SPR sensor [20]. Final layer in the structure design of SPR sensor is sensing medium which is also called as sensing analyte.…”

Section: Introductionmentioning

confidence: 99%

Comparative study of Au, Al, and Ag metal based SPR sensor using nickel and antimonene to enhance the sensitivity in visible range

Pandey

Singh

Lohia

et al. 2022

Preprint

View full text Add to dashboard Cite

In this simulation work, comparative study of surface plasmon resonance (SPR) based sensor designed with gold (Au), Aluminium (Al), Silver (Ag) are numerically investigated to improve the performance parameter of device using Ni-Antimonene layer in the visible range of light at wavelength of 633nm. In this device configuration, different metals (Ag/Au/Al), a diamagnetic material (Fe2O3), Nickel (Ni) and 2D material Antimonene (Sb) is used with CaF2 glass prism using Kretschmann configuration with angle interrogation method. The angle interrogation method is used to examine the performance of the device. The performance parameters of SPR sensor such as sensitivity, detection accuracy (DA), quality factor (QF) has been calculated. The thickness of metals (Au/Al/Ag) and number of different material thickness has been optimized by using genetic algorithms to improve the performance of device. The present study reveals that Ag metal based SPR Sensor exhibit a higher sensitivity as compared to Al and Au based SPR sensor at 55 nm of thickness. At 55nm thickness of Ag minimum reflectance curve has been obtained in comparison with Au and Al. The studied multilayer configuration of SPR sensor device using different metal Au/Al/Ag with Fe2O3, Ni and Antimonene in presence of glass prism, the maximum sensitivity 3100/RIU is obtained in case of Ag. The sensitivities of Au and Al metals are 660RIU-1, 2040RIU-1 respectively which is less in comparison to Ag metal. The different performance parameter of SPR sensor such as sensitivity, full width at half maximum (FWHM) value, DA, figure of merit (FoM), limit of detection (LoD) is calculated for all three metals but in the case of Ag performance is good compared to Au and Al. The penetration depth (PD) 110.5nm and 3D plot of transverse electric (TM) field intensity have also been plotted. The proposed SPR sensor using Ag metal with highest sensitivity value has capability to detect the different liquid analytes in the field of biosensing application with large uses in biomedical field in visible range.

show abstract

Theoretical Study of Surface Plasmon Resonance-based Fiber Optic Sensor Utilizing Cobalt and Nickel Films

Cited by 34 publications

References 23 publications

Sensitivity enhancement of SPR sensor using Ni/ZnO nanocomposite assisted with graphene

Sensitivity enhancement of SPR sensor using Ni/ZnO nanocomposite assisted with graphene

Numerical Study to Enhance the Sensitivity of a Surface Plasmon Resonance Sensor with BlueP/WS2-Covered Al2O3-Nickel Nanofilms

Comparative study of Au, Al, and Ag metal based SPR sensor using nickel and antimonene to enhance the sensitivity in visible range

Contact Info

Product

Resources

About