Novel Approach to Surface Plasmon Resonance: A Third Dimension in Data Interpretation Through Surface Roughness Changes

2016 ◽  
Vol 16 (6) ◽  
pp. 6332-6337
Author(s):  
Claudiu Constantin Manole ◽  
C Pîrvu ◽  
F Maury ◽  
I Demetrescu
Sensors ◽  
2021 ◽  
Vol 21 (18) ◽  
pp. 6164
Author(s):  
Treesukon Treebupachatsakul ◽  
Siratchakrit Shinnakerdchoke ◽  
Suejit Pechprasarn

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.


2016 ◽  
Vol 14 (4) ◽  
pp. 042401-42403 ◽  
Author(s):  
Zhitao Yang Zhitao Yang ◽  
Changjian Liu Changjian Liu ◽  
Yachen Gao Yachen Gao ◽  
Jiyu Wang Jiyu Wang ◽  
and Wenlong Yang and Wenlong Yang

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