Sensing mechanisms of rough plasmonic surfaces for protein binding of surface plasmon resonance detection

กลไกการตรวจจับการจับตัวของโปรตีนแบบอาศัยการสั่นพ้องของพื้นผิวพลาสมอนโดยมีพื้นผิวที่ขรุขระ

Name: Siratchakrit Shinnakerdchoke

LCSH: Surface plasmon resonance

LCSH: Detectors

Abstract: SPR (surface plasmon resonance) has been employed in a variety of optical applications, including biosensors. Because of its ultrasensitivity on the plasmonic metal surface, the SPR-based sensor is the gold standard for protein kinetic monitoring. Elowever, even minor modifications to surface morphology, such as roughness or pattern, may result in a substantial effect on performance. The objective of this investigation is to propose a theoretical framework to clarify sensing mechanisms and quantifying sensing performance parameters of angular surface plasmon resonance detection for binding kinetic sensing at different levels of surface roughness. Two models were used in the theoretical study: a protein layer coating on a rough plasmonic surface with and without sidewall coatings. The two models allow US to separate and quantify the enhancement factors caused by localized surface plasmon polaritons at the rough surfaces' sharp edges, as well as the increased surface area for protein binding produced by roughness. To create rough metal surfaces, the Gaussian random surface technique was utilized. Rigorous coupled-wave analysis and Monte Carlo simulation were employed to simulate and quantify reflectance spectra and quantitative performance parameters. Plasmonic angle, sensitivity, intensity contrast, full width at half maximum, and figure of merits are among the parameters. Depending on the roughness levels, roughness can have a crucial influence on the intensity measurement of binding kinetics, either positively or negatively. A tradeoff between sensitivity and increased roughness results in a widened plasmonic reflectance dip as a result of increased scattering loss. Some roughness profiles can produce negative and increased sensitivity without broadening the SPR spectra. We also discuss how the enhanced sensitivity of rough surfaces is primarily due to the localized surface wave, rather than increased binding domain density

King Mongkut's Institute of Technology Ladkrabang. Central Library

Address: BANGKOK

Email: Lifelong@kmitl.ac.th

Name: Suejit Pechprasarn

Role: Thesis Advisor

Name: Treesukon Treebupachatsakul

Role: Thesis Co-Advisor

Created: 2023

Modified: 2024-07-18

Issued: 2024-07-18

วิทยานิพนธ์/Thesis

application/pdf

eng

DegreeName: Master of Engineering

Level: Master's Degree

Descipline: Biomedical Engineering

Grantor: King Mongkut's Institute of Technology Ladkrabang

©copyrights King Mongkut's Institute of Technology Ladkrabang

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