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Title: Polarization invariant plasmonic nanostructures for sensing applications
Authors: Tobing, Landobasa Yosef Mario
Goh, Geat-Yee
Mueller, Aaron D.
Ke, Lin
Luo, Yu
Zhang, Dao-Hua
Keywords: Polarization
Rotational Symmetry
DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2017
Source: Tobing, L. Y. M., Goh, G.-Y., Mueller, A. D., Ke, L., Luo, Y., & Zhang, D.-H. (2017). Polarization invariant plasmonic nanostructures for sensing applications. Scientific Reports, 7, 7539-. doi:10.1038/s41598-017-08020-y
Series/Report no.: Scientific Reports
Abstract: Optics-based sensing platform working under unpolarized light illumination is of practical importance in the sensing applications. For this reason, sensing platforms based on localized surface plasmons are preferred to their integrated optics counterparts for their simple mode excitation and inexpensive implementation. However, their optical response under unpolarized light excitation is typically weak due to their strong polarization dependence. Herein, the role of rotational symmetry for realizing robust sensing platform exhibiting strong optical contrast and high sensitivity is explored. Specifically, gammadion and star-shaped gold nanostructures with different internal and external rotational symmetries are fabricated and studied in detail, from which their mode characteristics are demonstrated as superposition of their constituent longitudinal plasmons that are in conductive coupling with each other. We demonstrate that introducing and increasing internal rotational symmetry would lead to the enhancement in optical contrast up to ~3x under unpolarized light illumination. Finally, we compare the sensing performances of rotationally symmetric gold nanostructures with a more rigorous figure-of-merit based on sensitivity, Q-factor, and spectral contrast.
ISSN: 2045-2322
DOI: 10.1038/s41598-017-08020-y
Schools: School of Electrical and Electronic Engineering 
Research Centres: Nanophotonics Lab 
Centre for OptoElectronics and Biophotonics 
Rights: © The Author(s) 2017. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. Te images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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