scholarly journals Localized Surface Plasmon Resonance with Five-Branched Gold Nanostars in a Plastic Optical Fiber for Bio-Chemical Sensor Implementation

Sensors ◽  
2013 ◽  
Vol 13 (11) ◽  
pp. 14676-14686 ◽  
Author(s):  
Nunzio Cennamo ◽  
Girolamo D'Agostino ◽  
Alice Donà ◽  
Giacomo Dacarro ◽  
Piersandro Pallavicini ◽  
...  
Keyword(s):  
Surface Plasmon Resonance ◽  
Optical Fiber ◽  
Surface Plasmon ◽  
Plasmon Resonance ◽  
Localized Surface Plasmon Resonance ◽  
Chemical Sensor ◽  
Localized Surface Plasmon ◽  
Plastic Optical Fiber ◽  
Gold Nanostars

scholarly journals Design and validation of fiber optic localized surface plasmon resonance sensor for thyroglobulin immunoassay with high sensitivity and rapid detection

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Hyeong-Min Kim ◽  
Dae Hong Jeong ◽  
Ho-Young Lee ◽  
Jae-Hyoung Park ◽  
Seung-Ki Lee
Keyword(s):  
Surface Plasmon Resonance ◽  
Optical Fiber ◽  
Surface Plasmon ◽  
Plasmon Resonance ◽  
Localized Surface Plasmon Resonance ◽  
Optical Fiber Sensor ◽  
Fiber Sensor ◽  
Localized Surface Plasmon ◽  
Simple Method ◽  
Resonance Sensor

AbstractA simple optical fiber sensor based on localized surface plasmon resonance was constructed for direct and rapid measurement of thyroglobulin (Tg). Specific tests for Tg in patients that have undergone thyroidectomy are limited because of insufficient sensitivity, complicated procedures, and in some cases, a long time to yield a result. A sensitive, fast, and simple method is necessary to relieve the psychological and physical burden of the patient. Various concentrations of Tg were measured in a microfluidic channel using an optical fiber sensor with gold nanoparticles. The sensor chip has a detection limit of 93.11 fg/mL with no specificity for other antigens. The potential applicability of the Tg sensing system was evaluated using arbitrary samples containing specific concentrations of Tg. Finally, the sensor can be employed to detect Tg in the patient’s serum, with a good correlation when compared with the commercial kit.

scholarly journals Optical Fiber Sensor Based on Localized Surface Plasmon Resonance Using Silver Nanoparticles Photodeposited on the Optical Fiber End

Sensors ◽  
2014 ◽  
Vol 14 (10) ◽  
pp. 18701-18710 ◽  
Author(s):  
J. Ortega-Mendoza ◽  
Alfonso Padilla-Vivanco ◽  
Carina Toxqui-Quitl ◽  
Placido Zaca-Morán ◽  
David Villegas-Hernández ◽  
...  
Keyword(s):  
Silver Nanoparticles ◽  
Surface Plasmon Resonance ◽  
Optical Fiber ◽  
Surface Plasmon ◽  
Plasmon Resonance ◽  
Localized Surface Plasmon Resonance ◽  
Optical Fiber Sensor ◽  
Fiber Sensor ◽  
Localized Surface Plasmon

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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