scholarly journals A Fiber-Optic Surface Plasmon Resonance Sensor for Bio-Detection in Visible to Near-Infrared Images

Biosensors ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 9
Author(s):  
Shimeng Chen ◽  
Haojun Wu ◽  
Yongxin Song ◽  
Wei Peng ◽  
Yun Liu
Keyword(s):  
Neural Network ◽  
Surface Plasmon Resonance ◽  
Surface Plasmon ◽  
Plasmon Resonance ◽  
Bp Neural Network ◽  
Near Infrared ◽  
Fiber Optic ◽  
Detection Algorithm ◽  
Practical Applications ◽  
Resonance Sensor

In this paper, we demonstrate a fiber-optic surface plasmon resonance (FO-SPR) biosensor based on image processing and back propagation (BP) neural network. The transmitted light of the FO-SPR sensor was captured by using visible (VIS) and near-infrared (NIR) CMOS sensors. The optical information related to the SPR effect was extracted from images based on grayscale conversion and an edge detection algorithm. To achieve accurate monitoring of refractive index (RI) changes, the grayscale means of the VIS and NIR images and the RGB summation of the edge-detected images were used as training and test inputs for the BP neural network. We verified the effectiveness and superiority of this sensing system by experiments on sodium chloride solution identification and protein binding detection. This work is promising for practical applications in standardized biochemical sensing.

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.

Graphene-MoS2 Hybrid Structure Enhanced Fiber Optic Surface Plasmon Resonance Sensor

Plasmonics ◽  
2016 ◽  
Vol 12 (4) ◽  
pp. 1205-1212 ◽  
Author(s):  
Wei Wei ◽  
Jinpeng Nong ◽  
Linlong Tang ◽  
Ning Wang ◽  
Chin-Jung Chuang ◽  
...  
Keyword(s):  
Surface Plasmon Resonance ◽  
Surface Plasmon ◽  
Plasmon Resonance ◽  
Fiber Optic ◽  
Hybrid Structure ◽  
Surface Plasmon Resonance Sensor ◽  
Resonance Sensor
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