JOURNAL ARTICLE
Study the Optical Properties of Noble Metal (Au, Ag, and Cu) Thin Film Biosensors Based on Surface Plasmon Resonance Performance by a Simulation Program.
Published In: International Journal of Nanoscience, 2024, v. 23, n. 3. P. 1 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Ahmad, Omar A.; Alrashid, Saeed Naif Turki; Khalaf, Mohammed K. 3 of 3
Abstract
In this work, we studied the effect noble metal thicknesses, namely gold (Au), silver (Ag), and copper (Cu) on the surface plasmon resonance (SPR) characteristics for sensitive optical sensor and biosensor applications. SPR spectra for Au, Ag and Cu were widely studied in the Fresnel equation to calculate the total reflection, the wavelength (λ) range from 500 nm to 700 nm with the angle of incidence () ranging from 0∘ to 90∘ and thickness of the film (d) reaching from 30 nm to 70 nm. Analysis simulation (in MATLAB) has been made for SPR of three metals placed on the N_LASF9 glass prism and the sensing medium is the air. The properties of the angle of resonance SPR have been calculated from plotted reflectance via incident angle SPR . The results give efficient detection in a change of reflection (R) and full half width maximum FWHM. The minimum reflection was obtained (0.003 a.u.) at wavelength 700 nm and thickness d = 50 nm for gold Au at Δ n = 0.0. The best FWHM was recorded at the wavelength (500 nm) at thickness (70 nm) for silver at Δ n = 0.0, which was equal (0.1 nm). [ABSTRACT FROM AUTHOR]
Additional Information
- Source:International Journal of Nanoscience. 2024/06, Vol. 23, Issue 3, p1
- Document Type:Article
- Subject Area:Economics
- Publication Date:2024
- ISSN:0219-581X
- DOI:10.1142/S0219581X23500795
- Accession Number:176925951
- Copyright Statement:Copyright of International Journal of Nanoscience is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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