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Sensors 2018, 18(11), 3821; https://doi.org/10.3390/s18113821

Surface Plasmon Resonances in Silver Nanostars

1
Departamento de Física, Universidad del Valle, AA 25360 Cali, Colombia
2
Department of Applied Physics, University of Cantabria, Avda. Los Castros, s/n, 39005 Santander, Spain
3
School of Technology and Applied Sciences, São Paulo State University (UNESP), Campus Presidente Prudente, São Carlos 19060-900, Brazil
4
São Carlos Institute of Physics, University of São Paulo, PO Box 369, São Carlos 13560-970, Brazil
5
National Institute of Telecommunications (Inatel), Santa Rita do Sapucaí, MG 37540-000, Brazil
*
Author to whom correspondence should be addressed.
Received: 8 September 2018 / Revised: 25 October 2018 / Accepted: 31 October 2018 / Published: 8 November 2018
(This article belongs to the Section Chemical Sensors)
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Abstract

The recent development of silver nanostars (Ag-NSs) is promising for improved surface-enhanced sensing and spectroscopy, which may be further exploited if the mechanisms behind the excitation of localized surface plasmon resonances (LSPRs) are identified. Here, we show that LSPRs in Ag-NSs can be obtained with finite-difference time-domain (FDTD) calculations by considering the nanostars as combination of crossed nanorods (Ag-NRs). In particular, we demonstrate that an apparent tail at large wavelengths ( λ 700 nm) observed in the extinction spectra of Ag-NSs is due to a strong dipolar plasmon resonance, with no need to invoke heterogeneity (different number of arms) effects as is normally done in the literature. Our description also indicates a way to tune the strongest LSPR at desired wavelengths, which is useful for sensing applications. View Full-Text
Keywords: metallic nanoparticles; plasmonic biosensing; Ag nanostars metallic nanoparticles; plasmonic biosensing; Ag nanostars
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Reyes Gómez, F.; Rubira, R.J.G.; Camacho, S.A.; Martin, C.S.; da Silva, R.R.; Constantino, C.J.L.; Alessio, P.; Oliveira, O.N., Jr.; Mejía-Salazar, J.R. Surface Plasmon Resonances in Silver Nanostars. Sensors 2018, 18, 3821.

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