Literature DB >> 29708330

Highly Sensitive Refractive Index Sensors with Plasmonic Nanoantennas-Utilization of Optimal Spectral Detuning of Fano Resonances.

Martin Mesch1, Thomas Weiss1, Martin Schäferling1, Mario Hentschel1, Ravi S Hegde2,3, Harald Giessen1.   

Abstract

We analyze and optimize the performance of coupled plasmonic nanoantennas for refractive index sensing. The investigated structure supports a sub- and super-radiant mode that originates from the weak coupling of a dipolar and quadrupolar mode, resulting in a Fano-type spectral line shape. In our study, we vary the near-field coupling of the two modes and particularly examine the influence of the spectral detuning between them on the sensing performance. Surprisingly, the case of matched resonance frequencies does not provide the best sensor. Instead, we find that the right amount of coupling strength and spectral detuning allows for achieving the ideal combination of narrow line width and sufficient excitation strength of the subradiant mode, and therefore results in optimized sensor performance. Our findings are confirmed by experimental results and first-order perturbation theory. The latter is based on the resonant state expansion and provides direct access to resonance frequency shifts and line width changes as well as the excitation strength of the modes. Based on these parameters, we define a figure of merit that can be easily calculated for different sensing geometries and agrees well with the numerical and experimental results.

Entities:  

Keywords:  Fano resonances; coupled nanoantennas; detuning; perturbation theory; plasmon; resonant state expansion; sensing

Mesh:

Year:  2018        PMID: 29708330     DOI: 10.1021/acssensors.8b00003

Source DB:  PubMed          Journal:  ACS Sens        ISSN: 2379-3694            Impact factor:   7.711


  3 in total

1.  Strong and weak polarization-dependent interactions in connected and disconnected plasmonic nanostructures.

Authors:  Damien Eschimèse; François Vaurette; Céline Ha; Steve Arscott; Thierry Mélin; Gaëtan Lévêque
Journal:  Nanoscale Adv       Date:  2022-01-10

Review 2.  Deep learning: a new tool for photonic nanostructure design.

Authors:  Ravi S Hegde
Journal:  Nanoscale Adv       Date:  2020-02-12

3.  Tunable Multipolar Fano Resonances and Electric Field Enhancements in Au Ring-Disk Plasmonic Nanostructures.

Authors:  Rong Qiu; Hang Lin; Jing Huang; Cuiping Liang; Zao Yi
Journal:  Materials (Basel)       Date:  2018-09-01       Impact factor: 3.623

  3 in total

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