Design of a hybrid photonic-plasmonic crystal refractive index sensor for highly sensitive and high-resolution sensing applications

Hajshahvaladi, Leila; Danaie, Mohammad

doi:10.1016/j.physleta.2021.127754

Cited by 27 publications

(13 citation statements)

References 70 publications

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“…When does not change, Eq. ( 1 ) can be simplified as follows 20 , 53 : where is the permittivity of the free space, is the relative permittivity ( ) and is the relative permeability. From Eq.…”

Section: Sensing Analysis Of Ri Sensorsmentioning

confidence: 99%

“…In such a hybrid sensor structure, the nature of surface wave at the metal interface enhances the sensitivity and the lossless nature of the photonic crystal lattice enhances the FoM 50 – 52 . Therefore, combining both features can provide an outstanding sensing performance 5 , 53 . In recent years, the combination of a plasmonic component such as metal films or metallic nanostructures with a PhC structure has been explored and experimented 54 – 56 .…”

Section: Introductionmentioning

confidence: 99%

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Hybridization of surface plasmons and photonic crystal resonators for high-sensitivity and high-resolution sensing applications

Hajshahvaladi

Kaatuzian

Moghaddasi

et al. 2022

Sci Rep

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In this paper, an optical refractive index (RI) sensor based on a hybrid plasmonic-photonic crystal (P-PhC) is designed. In the sensor’s structure, some metallic rods are embedded in a rod-type photonic crystal (PhC) structure. Numerical simulations are performed based on the finite-difference time-domain (FDTD) method. The obtained results illustrate that the localized surface plasmons (LSP) induced by metallic rods can be excited in a PhC lattice to generate a hybrid P-PhC mode. According to the results, the hybrid mode provides unique opportunities. Using metallic rods in the coupling regions between waveguides and the resonant cavity significantly increases the interaction of the optical field and analyte inside the cavity. The simulation results reveal that high sensitivity of 1672 nm/RIU and an excellent figure of merit (FoM) of 2388 RIU−1 are obtained for the proposed hybrid P-PhC sensor. These values are highest compared to the purely plasmonic and or purely PhC sensors reported in the literature. The proposed sensor could simultaneously enhance sensitivity and FoM values. Therefore, the proposed hybrid P-PhC RI sensor is a more fascinating candidate for high-sensitivity and high-resolution sensing applications at optic communication wavelengths.

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Section: Sensing Analysis Of Ri Sensorsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Hybridization of surface plasmons and photonic crystal resonators for high-sensitivity and high-resolution sensing applications

Hajshahvaladi

Kaatuzian

Moghaddasi

et al. 2022

Sci Rep

Self Cite

View full text Add to dashboard Cite

show abstract

“…Photonic sensing platforms have also undertaken intensive developments, where low-dimensional nanostructures such as nanowires have been playing a prominent role [ 306 ]. As in other areas we have reviewed here, the role of mathematical modelling, complementing experiments, has been paramount here for several decades now [ 307 ], with new ideas at the hybrid photonic-plasmonic interface have been actively explored [ 308 ].…”

Section: Further Characteristics and Areas Of Applicationsmentioning

confidence: 99%

Coupled Multiphysics Modelling of Sensors for Chemical, Biomedical, and Environmental Applications with Focus on Smart Materials and Low-Dimensional Nanostructures

Singh

Melnik

2022

Chemosensors

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Low-dimensional nanostructures have many advantages when used in sensors compared to the traditional bulk materials, in particular in their sensitivity and specificity. In such nanostructures, the motion of carriers can be confined from one, two, or all three spatial dimensions, leading to their unique properties. New advancements in nanosensors, based on low-dimensional nanostructures, permit their functioning at scales comparable with biological processes and natural systems, allowing their efficient functionalization with chemical and biological molecules. In this article, we provide details of such sensors, focusing on their several important classes, as well as the issues of their designs based on mathematical and computational models covering a range of scales. Such multiscale models require state-of-the-art techniques for their solutions, and we provide an overview of the associated numerical methodologies and approaches in this context. We emphasize the importance of accounting for coupling between different physical fields such as thermal, electromechanical, and magnetic, as well as of additional nonlinear and nonlocal effects which can be salient features of new applications and sensor designs. Our special attention is given to nanowires and nanotubes which are well suited for nanosensor designs and applications, being able to carry a double functionality, as transducers and the media to transmit the signal. One of the key properties of these nanostructures is an enhancement in sensitivity resulting from their high surface-to-volume ratio, which leads to their geometry-dependant properties. This dependency requires careful consideration at the modelling stage, and we provide further details on this issue. Another important class of sensors analyzed here is pertinent to sensor and actuator technologies based on smart materials. The modelling of such materials in their dynamics-enabled applications represents a significant challenge as we have to deal with strongly nonlinear coupled problems, accounting for dynamic interactions between different physical fields and microstructure evolution. Among other classes, important in novel sensor applications, we have given our special attention to heterostructures and nucleic acid based nanostructures. In terms of the application areas, we have focused on chemical and biomedical fields, as well as on green energy and environmentally-friendly technologies where the efficient designs and opportune deployments of sensors are both urgent and compelling.

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“…Optical sensors 41 – 43 are attracted important interest as their wide range of applications. One of the most significant applications of optical sensors is in the biomedical field.…”

Section: Introductionmentioning

confidence: 99%

Optical biosensors using plasmonic and photonic crystal band-gap structures for the detection of basal cell cancer

Khani

Hayati

2022

Sci Rep

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One of the most interesting topics in bio-optics is measuring the refractive index of tissues. Accordingly, two novel optical biosensor configurations for cancer cell detections have been proposed in this paper. These structures are composed of one-dimensional photonic crystal (PC) lattices coupled to two metal–insulator–metal (MIM) plasmonic waveguides. Also, the tapering method is used to improve the matching between the MIM plasmonic waveguides and PC structure in the second proposed topology. The PC lattices at the central part of the structures generate photonic bandgaps (PBGs) with sharp edges in the transmission spectra of the biosensors. These sharp edges are suitable candidates for sensing applications. On the other hand, the long distance between two PBG edges causes that when the low PBG edge is used for sensing mechanism, it does not have an overlapping with the high PBG edge by changing the refractive index of the analyte. Therefore, the proposed biosensors can be used for a wide wavelength range. The maximum obtained sensitivities and FOM values of the designed biosensors are equal to 718.6, 714.3 nm/RIU, and 156.217, 60.1 RIU−1, respectively. The metal and insulator materials which are used in the designed structures are silver, air, and GaAs, respectively. The finite-difference time-domain (FDTD) method is used for the numerical investigation of the proposed structures. Furthermore, the initial structure of the proposed biosensors is analyzed using the transmission line method to verify the FDTD simulations. The attractive and simple topologies of the proposed biosensors and their high sensitivities make them suitable candidates for biosensing applications.

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Design of a hybrid photonic-plasmonic crystal refractive index sensor for highly sensitive and high-resolution sensing applications

Cited by 27 publications

References 70 publications

Hybridization of surface plasmons and photonic crystal resonators for high-sensitivity and high-resolution sensing applications

Hybridization of surface plasmons and photonic crystal resonators for high-sensitivity and high-resolution sensing applications

Coupled Multiphysics Modelling of Sensors for Chemical, Biomedical, and Environmental Applications with Focus on Smart Materials and Low-Dimensional Nanostructures

Optical biosensors using plasmonic and photonic crystal band-gap structures for the detection of basal cell cancer

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