Reticular plasmon resonance detection properties of metal nanoparticles

Mohamed El Barghouti,Abdellatif Akjouj,Abdellah Mir

doi:10.1016/j.physe.2019.02.010

Abstract

The theoretical study of the detection properties of network plasmon resonances, supported here by gold, nanoparticles (form T) and graphene expressed in terms of sensitivity and figure of Merit (FoM). The expressions of sensitivity and FoM for changes in geometric parameters of surface nanostructures are derived to establish the relationship between sensor detection performance parameters and enabling biosensor design of nanoparticles with optimum detection performance. The sensitivity of the proposed biosensor is improved using two methods. First, the layers of graphene are covered with nanoparticles, which have been discussed and, it has proved that the sensitivity can be improved. Second, the influence's angle of incidence of the wave excited the network on the sensitivity. Finally, the improvement of the sensitivity and the FoM using the structure is revealed in these two methods. The maximum sensitivity ∼505.47 nm/RIU is obtained with coating of graphene layers and angle of incidence oblique to the surface.

Highlights

It has been known for many years that diffraction can be used for the excitation of surface plasmon polaritons, where as diffraction in regular networks of metal nanoparticles offers the potential to manipulate the properties of localized surface plasmons [1,2,3,4,5]
The incident field is always parallel to the interface in the the polarized-magnetic (TM) polarization, and is proportional to the transmission coefficient that increases near β, for this reason; the absorption of the plasmon resonance mode in plan increases the TM polarization with the angle of incidence θ of the plane wave [52,53]
Through a comprehensive study based on the Finite Element Method (FEM) method, we presented the response of the structured surface to the fixation of a graphene layer

Summary

Introduction

It has been known for many years that diffraction can be used for the excitation of surface plasmon polaritons, where as diffraction in regular networks of metal nanoparticles offers the potential to manipulate the properties of localized surface plasmons [1,2,3,4,5]. Localized surface plasmon (LSP) can lead to giant improvements in local electromagnetic fields around nanoparticles [8,9] in nanoparticle networks, interactions between individual dipole plasmons can still increase the field improvement and sensor detection performance parameters according to the network settings. Understanding their properties is significantly more complex when metal nanoparticles are deposited on a glass substrate [10,11,12] or when they interact [13,14,15]. In order to improve sensitivity and merit factor (FoM), there are several schemes to improve the absorption of biosensor, for example, the growth of an affinity layer [20], using gold nanoparticles of well-structured form, and two-dimensional (2D) nano-layers of graphene on AuNPs [18,21]

Methods

Results

Conclusion