Giant and tunable Goos-Hänchen shifts with a surface plasmon resonance structure

2021 ◽  
Author(s):  
Liu Zihao ◽  
Liu Liujia ◽  
Zou Yujie ◽  
Zheng Zhiwei
Keyword(s):  
Surface Plasmon Resonance ◽  
Surface Plasmon ◽  
Plasmon Resonance ◽  
Resonance Structure

scholarly journals Variety of Antiprion Compounds Discovered through an In Silico Screen Based on Cellular-Form Prion Protein Structure: Correlation between Antiprion Activity and Binding Affinity

2008 ◽  
Vol 53 (2) ◽  
pp. 765-771 ◽  
Author(s):  
Junji Hosokawa-Muto ◽  
Yuji O. Kamatari ◽  
Hironori K. Nakamura ◽  
Kazuo Kuwata
Keyword(s):  
Surface Plasmon Resonance ◽  
Drug Discovery ◽  
Prion Protein ◽  
Surface Plasmon ◽  
Plasmon Resonance ◽  
In Silico ◽  
Resonance Structure ◽  
Nuclear Magnetic Resonance Structure ◽  
Chemical Chaperone ◽  
Chemical Structures

ABSTRACT Transmissible spongiform encephalopathies are associated with the conformational conversion of the prion protein from the cellular form (PrPC) to the scrapie form. This process could be disrupted by stabilizing the PrPC conformation, using a specific ligand identified as a chemical chaperone. To discover such compounds, we employed an in silico screen that was based on the nuclear magnetic resonance structure of PrPC. In combination, we performed ex vivo screening using the Fukuoka-1 strain-infected neuronal mouse cell line at a compound concentration of 10 μM and surface plasmon resonance. Initially, we selected 590 compounds according to the calculated docked energy and finally discovered 24 efficient antiprion compounds, whose chemical structures are quite diverse. Surface plasmon resonance studies showed that the binding affinities of compounds for PrPC roughly correlated with the compounds' antiprion activities, indicating that the identification of chemical chaperones that bind to the PrPC structure and stabilize it is one efficient strategy for antiprion drug discovery. However, some compounds possessed antiprion activities with low affinities for PrPC, indicating a mechanism involving additional modulation factors. We classified the compounds roughly into five categories: (i) binding and effective, (ii) low binding and effective, (iii) binding and not effective, (iv) low binding and not effective, and (v) acceleration. In conclusion, we found a spectrum of compounds, many of which are able to modulate the pathogenic conversion reaction. The appropriate categorization of these diverse compounds would facilitate antiprion drug discovery and help to elucidate the pathogenic conversion mechanism.

scholarly journals Study on Dielectric Function Models for Surface Plasmon Resonance Structure

2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Peyman Jahanshahi ◽  
Mostafa Ghomeishi ◽  
Faisal Rafiq Mahamd Adikan
Keyword(s):  
Experimental Data ◽  
Finite Element Method ◽  
Finite Element ◽  
Surface Plasmon Resonance ◽  
Dielectric Properties ◽  
Surface Plasmon ◽  
Plasmon Resonance ◽  
Resonance Structure ◽  
Function Model ◽  
Function Models

The most common permittivity function models are compared and identifying the best model for further studies is desired. For this study, simulations using several different models and an analytical analysis on a practical surface Plasmon structure were done with an accuracy of∼94.4% with respect to experimental data. Finite element method, combined with dielectric properties extracted from the Brendel-Bormann function model, was utilized, the latter being chosen from a comparative study on four available models.

Salinity Optical Sensor Based on Surface Plasmon Resonance Structure with As 2 S 3 Waveguide

2021 ◽  
Vol 396 (1) ◽  
pp. 2000328
Author(s):  
Sorin Miclos ◽  
Aurelian Popescu ◽  
Dan Savastru ◽  
Laurentiu Baschir
Keyword(s):  
Surface Plasmon Resonance ◽  
Surface Plasmon ◽  
Plasmon Resonance ◽  
Optical Sensor ◽  
Resonance Structure

Self-corrected sensing based on a metal–dielectric–metal surface plasmon resonance structure for disturbance-free detection

Vacuum ◽  
2015 ◽  
Vol 118 ◽  
pp. 167-170 ◽  
Author(s):  
Nai-Chuan Chen ◽  
Chung-Chi Liao ◽  
Wan-Ting Fan ◽  
Bohr-Ran Huang ◽  
Wen-Cheng Ke
Keyword(s):  
Surface Plasmon Resonance ◽  
Metal Surface ◽  
Surface Plasmon ◽  
Plasmon Resonance ◽  
Resonance Structure

FDTD Analysis of Surface Plasmon Resonance Structure

2021 ◽  
Author(s):  
N K Suryanarayana ◽  
M P Pranav Simha ◽  
G Lohith ◽  
C Ravikiran ◽  
G P Supraj Purohit ◽  
...  
Keyword(s):  
Surface Plasmon Resonance ◽  
Surface Plasmon ◽  
Plasmon Resonance ◽  
Resonance Structure
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