plasmonic coupling
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Author(s):  
Minju Kim ◽  
Youngji Kim ◽  
Kiheung Kim ◽  
Wen-Tse Huang ◽  
Ru-Shi Liu ◽  
...  

29-Fold luminescence enhancement of upconversion nanoparticle-sensitized perovskite quantum dots was achieved by implementing a metal–insulator–metal configuration and plasmonic coupling.


2021 ◽  
Author(s):  
Jijie Huang ◽  
Xin Li Phuah ◽  
Luke Mitchell McClintock ◽  
Prashant Padmanabhan ◽  
K.S.N. Vikrant ◽  
...  

Nanomaterials ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 2137
Author(s):  
Jianying Jing ◽  
Kun Liu ◽  
Junfeng Jiang ◽  
Tianhua Xu ◽  
Shuang Wang ◽  
...  

A long-range surface plasmonic resonance (LR-SPR) biosensor modified with double-antibody sandwich immunoassay and plasmonic coupling is demonstrated for human-immunoglobulin G detection with a low limit of detection (LOD). The double-antibody sandwich immunoassay dramatically changes the average refractive index of the medium layer on the sensor surface. The near-field electron coupling between the localized surface plasmon and the long-range surface plasmon leads to a significant perturbation of the evanescent field. The large penetration depth and the long propagation distance of the long-range surface plasmonic waves facilitate the LR-SPR sensor in the detection of biological macromolecules. The unique light absorption characteristic of the nanocomposite material in the sensor provides the in situ self-compensation for the disturbance. Therefore, besides the inherent advantages of optical fiber sensors, the developed biosensor can realize the detection of biomolecules with high sensitivity, low LOD and high accuracy and reliability. Experimental results demonstrate that the LOD of the biosensor is as low as 0.11 μg/mL in the detection of the phosphate-buffered saline sample, and the spike-and-repetition rate is 105.56% in the detection of the real serum sample, which partly shows the practicability of the biosensor. This indicates that the LR-SPR biosensor provides better response compared with existing similar sensors and can be regarded as a valuable method for biochemical analysis and disease detection.


Author(s):  
Ying Chang ◽  
Guang Chang ◽  
Zhiming Liu ◽  
Wei Hua ◽  
Xiaowei Han

2021 ◽  
Author(s):  
Bin You ◽  
Rui Zhang ◽  
Shengchuan Wang ◽  
Kui Han ◽  
Xiaopeng Shen ◽  
...  

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