Self-reference plasmonic sensors based on double Fano resonances

Nanoscale ◽  
2017 ◽  
Vol 9 (31) ◽  
pp. 11085-11092 ◽  
Author(s):  
Yujia Wang ◽  
Chengwei Sun ◽  
Hongyun Li ◽  
Qihuang Gong ◽  
Jianjun Chen

The high-sensitivity self-reference plasmonic sensor is experimentally demonstrated based on the double Fano resonances in the gold grating, and the error contributions from the temperature noises are greatly reduced.

2019 ◽  
Vol 9 (5) ◽  
pp. 949 ◽  
Author(s):  
M. Gandhi ◽  
Suoda Chu ◽  
K. Senthilnathan ◽  
P. Babu ◽  
K. Nakkeeran ◽  
...  

The survey focuses on the most significant contributions in the field of fiber optic plasmonic sensors (FOPS) in recent years. FOPSs are plasmonic sensor-based fiber optic probes that use an optical field to measure the biological agents. Owing to their high sensitivity, high resolution, and low cost, FOPS turn out to be potential alternatives to conventional biological fiber optic sensors. FOPS use optical transduction mechanisms to enhance sensitivity and resolution. The optical transduction mechanisms of FOPS with different geometrical structures and the photonic properties of the geometries are discussed in detail. The studies of optical properties with a combination of suitable materials for testing the biosamples allow for diagnosing diseases in the medical field.


Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1164
Author(s):  
Gongli Xiao ◽  
Yanping Xu ◽  
Hongyan Yang ◽  
Zetao Ou ◽  
Jianyun Chen ◽  
...  

Herein, we propose a tunable plasmonic sensor with Fano resonators in an inverted U-shaped resonator. By manipulating the sharp asymmetric Fano resonance peaks, a high-sensitivity refractive index sensor can be realized. Using the multimode interference coupled-mode theory and the finite element method, we numerically simulate the influences of geometrical parameters on the plasmonic sensor. Optimizing the structure parameters, we can achieve a high plasmonic sensor with the maximum sensitivity for 840 nm/RIUand figure of merit for 3.9 × 105. The research results provide a reliable theoretical basis for designing high sensitivity to the next generation plasmonic nanosensor.


2021 ◽  
Author(s):  
Yanping Xu ◽  
Zetao Ou ◽  
Jianyun Chen ◽  
Gongli Xiao ◽  
Hongyan Yang

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