Staggered H-shaped metamaterial based on electromagnetically induced transparency effect and its refractive index sensing performance

2019 ◽  
Vol 450 ◽  
pp. 202-207 ◽  
Author(s):  
Sen Hu ◽  
Dan Liu ◽  
Helin Yang ◽  
Huaixing Wang ◽  
Yun Wang
Keyword(s):  
Refractive Index ◽  
Electromagnetically Induced Transparency ◽  
Refractive Index Sensing ◽  
Induced Transparency ◽  
Sensing Performance

Plasmonic analogue of electromagnetically induced transparency in a T-shaped metallic nanohole array and its sensing performance

2014 ◽  
Vol 28 (29) ◽  
pp. 1450231 ◽  
Author(s):  
Ming Li Wan ◽  
Xiao Jun Sun ◽  
Yue Li Song ◽  
Yong Li ◽  
Feng Qun Zhou
Keyword(s):  
Refractive Index ◽  
Electromagnetically Induced Transparency ◽  
Surrounding Medium ◽  
Plasmonic Sensor ◽  
Background Spectrum ◽  
Nanohole Array ◽  
Structural Asymmetry ◽  
Highly Sensitive ◽  
Induced Transparency ◽  
Sensing Performance

In this paper, a plasmonic analogue of electromagnetically induced transparency (EIT) is demonstrated theoretically in a T-shaped silver nanohole array. A sharply narrow reflectance transparency window is clearly observed within the background spectrum of the broad dipole-like resonance at optical frequencies when structural asymmetry is introduced. Furthermore, the transparency peak exhibits highly sensitive response to the refractive index of surrounding medium and yield a sensitivity of 725 nm/refractive index unit (RIU), which ensures our proposed nanohole array as an excellent plasmonic sensor. In addition, the dependence of figure of merit (FOM) on structural asymmetry is investigated numerically to optimize the sensing performance of the EIT-based sensor.

scholarly journals Analysis of Effects of Surface Roughness on Sensing Performance of Surface Plasmon Resonance Detection for Refractive Index Sensing Application

Sensors ◽  
2021 ◽  
Vol 21 (18) ◽  
pp. 6164
Author(s):  
Treesukon Treebupachatsakul ◽  
Siratchakrit Shinnakerdchoke ◽  
Suejit Pechprasarn
Keyword(s):  
Surface Roughness ◽  
Refractive Index ◽  
Surface Plasmon Resonance ◽  
Surface Plasmon ◽  
Plasmon Resonance ◽  
Figure Of Merit ◽  
Root Mean Square Roughness ◽  
Performance Parameters ◽  
Refractive Index Sensing ◽  
Sensing Performance

This paper provides a theoretical framework to analyze and quantify roughness effects on sensing performance parameters of surface plasmon resonance measurements. Rigorous coupled-wave analysis and the Monte Carlo method were applied to compute plasmonic reflectance spectra for different surface roughness profiles. The rough surfaces were generated using the low pass frequency filtering method. Different coating and surface treatments and their reported root-mean-square roughness in the literature were extracted and investigated in this study to calculate the refractive index sensing performance parameters, including sensitivity, full width at half maximum, plasmonic dip intensity, plasmonic dip position, and figure of merit. Here, we propose a figure-of-merit equation considering optical intensity contrast and signal-to-noise ratio. The proposed figure-of-merit equation could predict a similar refractive index sensing performance compared to experimental results reported in the literature. The surface roughness height strongly affected all the performance parameters, resulting in a degraded figure of merit for surface plasmon resonance measurement.

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