On the sensitivity and signal to noise ratio of a step-index fiber optic surface plasmon resonance sensor with bimetallic layers

2005 ◽  
Vol 245 (1-6) ◽  
pp. 159-169 ◽  
Author(s):  
Anuj K. Sharma ◽  
B.D. Gupta
Keyword(s):  
Surface Plasmon Resonance ◽  
Surface Plasmon ◽  
Plasmon Resonance ◽  
Fiber Optic ◽  
Signal To Noise Ratio ◽  
Surface Plasmon Resonance Sensor ◽  
Signal To Noise ◽  
Step Index ◽  
Resonance Sensor ◽  
Step Index Fiber

scholarly journals Effect of Spectral Signal-to-Noise Ratio on Resolution Enhancement at Surface Plasmon Resonance

Sensors ◽  
2021 ◽  
Vol 21 (2) ◽  
pp. 641
Author(s):  
Long Ma ◽  
Guo Xia ◽  
Shiqun Jin ◽  
Lihao Bai ◽  
Jiangtao Wang ◽  
...  
Keyword(s):  
Surface Plasmon Resonance ◽  
Surface Plasmon ◽  
Plasmon Resonance ◽  
Signal To Noise Ratio ◽  
Resonance Wavelength ◽  
Surface Plasmon Resonance Sensor ◽  
Signal To Noise ◽  
Spectral Signal ◽  
Resonance Sensor ◽  
Noise Ratio

Refractive index resolution is an important indicator for a wavelength interrogation surface plasmon resonance sensor, which can be affected by signal-to-noise ratio. This paper investigates the impact of spectral signal-to-noise ratio on a surface plasmon resonance sensor. The effects of different spectral powers and noises are compared and verified through simulation and experiments. The results indicate that the optimal resonance wavelength is changed and the refractive index resolution can even be nearly twice as good when the spectral signal-to-noise ratio is increased. The optimal resonance wavelength can be found by changing the spectral power distribution or noise.

scholarly journals Improvement of fiber optic based localized surface plasmon resonance sensor by optical fiber surface etching and Au capping

2019 ◽  
Vol 7 (1) ◽  
Author(s):  
Se-Woong Bae ◽  
Hyeong-Min Kim ◽  
Jae-Hyoung Park ◽  
Seung-Ki Lee
Keyword(s):  
Surface Plasmon Resonance ◽  
Optical Fiber ◽  
Surface Plasmon ◽  
Plasmon Resonance ◽  
Localized Surface Plasmon Resonance ◽  
Fiber Optic ◽  
Signal To Noise Ratio ◽  
Fiber Surface ◽  
Localized Surface Plasmon ◽  
Resonance Sensor

Abstract Fiber optic based localized surface plasmon resonance (FO-LSPR) sensor is one of the biosensors that detects specific biomolecules and can detect the onset of disease. In this paper, we propose two methods to improve the signal to noise ratio (SNR) of the sensor, which is one of the main characteristics of the FO-LSPR sensor. The first method is to increase the intensity of the sensor by increasing the size of gold nanoparticle (Au NP) formed on the optical fiber surface by Au capping method. The second method is to form a structure that reduces the reflection by increasing the roughness of the surface by etching the surface of the optical fiber using the Au NP formed on the surface of the optical fiber as a mask. Increasing the roughness of the optical fiber surface can reduce the background signal of the sensor. The two methods mentioned above can increase the SNR of the sensor. When the SNR of the sensor is increased, the efficiency of the sensor is improved.

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