Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Analysis of Surface Plasmon Resonance Curves with a Novel Sigmoid-Asymmetric Fitting Algorithm

Authors
Jang, DaehoChae, GeunhyoungShin, Sehyun
Issue Date
10월-2015
Publisher
MDPI AG
Keywords
surface plasmon resonance; fitting algorithm; sigmoid-asymmetric; critical angle; resonance angle
Citation
SENSORS, v.15, no.10, pp.25385 - 25398
Indexed
SCIE
SCOPUS
Journal Title
SENSORS
Volume
15
Number
10
Start Page
25385
End Page
25398
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/92253
DOI
10.3390/s151025385
ISSN
1424-8220
Abstract
The present study introduces a novel curve-fitting algorithm for surface plasmon resonance (SPR) curves using a self-constructed, wedge-shaped beam type angular interrogation SPR spectroscopy technique. Previous fitting approaches such as asymmetric and polynomial equations are still unsatisfactory for analyzing full SPR curves and their use is limited to determining the resonance angle. In the present study, we developed a sigmoid-asymmetric equation that provides excellent curve-fitting for the whole SPR curve over a range of incident angles, including regions of the critical angle and resonance angle. Regardless of the bulk fluid type (i.e., water and air), the present sigmoid-asymmetric fitting exhibited nearly perfect matching with a full SPR curve, whereas the asymmetric and polynomial curve fitting methods did not. Because the present curve-fitting sigmoid-asymmetric equation can determine the critical angle as well as the resonance angle, the undesired effect caused by the bulk fluid refractive index was excluded by subtracting the critical angle from the resonance angle in real time. In conclusion, the proposed sigmoid-asymmetric curve-fitting algorithm for SPR curves is widely applicable to various SPR measurements, while excluding the effect of bulk fluids on the sensing layer.
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Engineering > Department of Mechanical Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Shin, Se hyun photo

Shin, Se hyun
공과대학 (기계공학부)
Read more

Altmetrics

Total Views & Downloads

BROWSE