Nanostructured Biosensors: Influence of Adhesion Layer, Roughness and Size on the LSPR: A Parametric Study

Kessentini, Sameh; Barchiesi, Dominique

doi:10.5772/52906

Cited by 5 publications

(11 citation statements)

References 39 publications

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“…15,65,66 The optical properties of gold and titanium retrieved from refs 67 and 68, and the LSPR position (max C ext (λ)) is determined with ±5 nm, which gives acceptable precision compared to the measurement uncertainties. 52,69 The computed LSPR positions match with the experimental ones reported in Table 1 for an effective optical index n eff = 1.38 (eq 1, n CaF 2 ≈ 1.43 over the spectral range [500, 950] nm). This value of n eff will be used in the calculations from now on.…”

Section: Numerical Modelsupporting

confidence: 74%

Gold Dimer Nanoantenna with Slanted Gap for Tunable LSPR and Improved SERS

et al. 2014

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International audienceWe focus on improving the surface-enhanced Raman scattering (SERS) of dimer nanoantenna by tailoring the shape of the coupled nanoantennas extremities from rounded to straight or slanted ones. A numerical model based on the discrete dipole approximation method—taking into account periodicity, adhesion layer, and roughness—is first validated by comparison with localized surface plasmon resonance (LSPR) and SERS experiments on round-edged dimer nanoantennas and then used to investigate the effect of the straight or slanted gap in the dimer antenna. Simulations show that both LSPR and SERS can be tuned by changing the gap slanting angle. The SERS enhancement factor can also be improved by 2 orders of magnitude compared to the one reached using a rounded gap. Therefore, the slanting angle can be used as a new control parameter in the design of SERS substrates to guarantee stronger field confinement and higher sensitivity, especially as its feasibility is demonstrated

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Section: Numerical Modelsupporting

confidence: 74%

Gold Dimer Nanoantenna with Slanted Gap for Tunable LSPR and Improved SERS

et al. 2014

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“…The SPR setup configuration (Figure 1) was modeled by the electromagnetic interaction of light with a plane multilayer [21,22]. The same approach has been used to study the influence of the functionalization layer [21] and adhesion layer for nanostructured Au-EPR [23,24]. The light source is considered as a monochromatic plane wave of wavelength λ 0 = 632.8 nm (photon energy E = hω = 1.959 eV).…”

Section: The Spr Modelmentioning

confidence: 99%

Performance of Surface Plasmon Resonance Sensors Using Copper/Copper Oxide Films: Influence of Thicknesses and Optical Properties

et al. 2022

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Surface plasmon resonance sensors (SPR) using copper for sensitive parts are a competitive alternative to gold and silver. Copper oxide is a semiconductor and has a non-toxic nature. The unavoidable presence of copper oxide may be of interest as it is non-toxic, but it modifies the condition of resonance and the performance of the sensor. Therefore, the characterization of the optical properties of copper and copper oxide thin films is of interest. We propose a method to recover both the thicknesses and optical properties of copper and copper oxide from absorbance curves over the (0.9;3.5) eV range, and we use these results to numerically investigate the surface plasmon resonance of copper/copper oxide thin films. Samples of initial copper thicknesses 10, 30 and 50 nm, after nine successive oxidations, are systematically studied to simulate the signal of a Surface Plasmon Resonance setup. The results obtained from the resolution of the inverse problem of absorbance are used to discuss the performance of a copper-oxide sensor and, therefore, to evaluate the optimal thicknesses.

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“…Indeed, if significant correlations are found, some behavior laws can be deduced [3]. The behavior laws help to explain the underlying physics and to predict or discuss experimental results [6,15].…”

Section: Application #1: Uncertainties For the Comparison Of Modelsmentioning

confidence: 99%

“…3.A (Eqs. (15) and (16) (the dipole approximation)). The dipole approximation depends on x 4 and the second term of the series in Eq.…”

Section: E3 Behavior Laws From Modelsmentioning

confidence: 99%

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Propagation of uncertainties and applications in numerical modeling: tutorial

Barchiesi¹,

Grosges²

2017

J. Opt. Soc. Am. A

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Some inputs of computational models are commonly retrieved from external sources (handbooks, articles, dedicated measurements), and therefore are subject to uncertainties. The known experimental dispersion of the inputs can be propagated through the numerical models to produce samples of outputs. The stemming propagation of uncertainties is already significant in metrology but also has applications in optimization and inverse problem resolution of the modeled physical system. Moreover, the information on uncertainties can be used to characterize and compare models, and to deduce behavior laws. This tutorial gives tools and applications of the propagation of experimental uncertainties through models. To illustrate the method and its applications, we propose to investigate the scattering of light by gold nanoparticles, which also enables the comparison of the full Mie theory and the dipole approximation. The position of the localized surface plasmon resonance and the corresponding value of the scattering efficiency are more specifically studied.

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Nanostructured Biosensors: Influence of Adhesion Layer, Roughness and Size on the LSPR: A Parametric Study

Cited by 5 publications

References 39 publications

Gold Dimer Nanoantenna with Slanted Gap for Tunable LSPR and Improved SERS

Gold Dimer Nanoantenna with Slanted Gap for Tunable LSPR and Improved SERS

Performance of Surface Plasmon Resonance Sensors Using Copper/Copper Oxide Films: Influence of Thicknesses and Optical Properties

Propagation of uncertainties and applications in numerical modeling: tutorial

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