Dispersion curve-based sensitivity engineering for enhanced surface plasmon resonance detection

El-Gohary, Sherif H.; Eom, Seyoung; Lee, Soo Yeol; Byun, Kyung Min

doi:10.1016/j.optcom.2016.03.011

Cited by 16 publications

(9 citation statements)

References 33 publications

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“…This is based on the postulation that field-matter interaction plays an important role in determining the sensor sensitivity. From the previous studies [ 21 , 33 ], the field amplitude at the binding region is greatly correlated with the sensitivity, and, hence, as a quantitative metric of field-matter interaction, near-field characteristics can be a useful tool to assess the performance of SPR biosensors that address an enhancement of detection sensitivity. For conventional and proposed SPR structures in water ambience, implying a practical biosensing condition, the finite-difference time-domain (FDTD) results in Figure 7 visualizing the distributions of near-field amplitude for E X component at the wavelength of λ = 630 nm near the sensor surface.…”

Section: Resultsmentioning

confidence: 99%

“…In this study, we propose titanium oxide (TiO 2 ) of a fairly high refractive index [ 20 ] as an effective dielectric material for enhancing the sensor sensitivity as well as a process-compatible protection layer for preventing a silver substrate from oxidation. Based on our recent finding that the sensitivity of SPR biosensor is strongly correlated with its dispersion curve characteristics [ 21 ], we show that a TiO 2 overlayer is advantageous for engineering the dispersion relation of a silver film. In water and air ambiences, the silver-based SPR biosensor combined with a TiO 2 film can be optimized to produce an enhanced sensitivity with respect to a traditional silver film.…”

Section: Introductionmentioning

confidence: 95%

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Dispersion Curve Engineering of TiO2/Silver Hybrid Substrates for Enhanced Surface Plasmon Resonance Detection

El-Gohary

Choi

Kim

et al. 2016

Sensors

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As surface plasmon resonance (SPR)-based biosensors are well translated into biological, chemical, environmental, and clinical fields, it is critical to further realize stable and sustainable systems, avoiding oxidation susceptibility of metal films—in particular, silver substrates. We report an enhanced SPR detection performance by incorporating a TiO2 layer on top of a thin silver film. A uniform TiO2 film fabricated by electron beam evaporation at room temperature is an effective alternative in bypassing oxidation of a silver film. Based on our finding that the sensor sensitivity is strongly correlated with the slope of dispersion curves, SPR sensing results obtained by parylene film deposition shows that TiO2/silver hybrid substrates provide notable sensitivity improvement compared to a conventional bare silver film, which confirms the possibility of engineering the dispersion characteristic according to the incidence wavelength. The reported SPR structures with TiO2 films enhance the sensitivity significantly in water and air environments and its overall qualitative trend in sensitivity improvement is consistent with numerical simulations. Thus, we expect that our approach can extend the applicability of TiO2-mediated SPR biosensors to highly sensitive detection for biomolecular binding events of low concentrations, while serving a practical and reliable biosensing platform.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 95%

Dispersion Curve Engineering of TiO2/Silver Hybrid Substrates for Enhanced Surface Plasmon Resonance Detection

El-Gohary

Choi

Kim

et al. 2016

Sensors

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“…

\frac{2 π}{λ} n_{normalp} \sin θ = Re \{β_{sp}\}

Here θ is incident angle

n_{p}

is refractive index of prism and

β_{sp}

denotes the propagation constant of surface plasmon and its mathematical representation is

()(, false(2 π / λ false) \sqrt{(ε_{normalm} ε_{normals}) / (ε_{normalm} + ε_{normals})})

. For surface‐plasmons excitation energy and momentum conservation is very essential, relation between wave vector and angular frequency in propagating x direction is given by [25, 39]

k_{x} = \frac{ω}{c} \sqrt{\frac{ε_{1} ε_{2}}{ε_{1} + ε_{2}}}

The incident light wavelength dependent dielectric constant of the metal layer is obtained by Drude–Lorentz model [37], given by

ε_{m} ()(, λ) = - ε_{mr} + normali ε_{mi} = 1 - \frac{λ^{2} λ_{c}}{λ_{p}^{2} ()(, λ_{c} + normali λ)}

Here,

λ_{p} ()(, 1.4541 \times 10^{- 7} normalm)

and

λ_{c} ()(, 1.7614 \times 10^{- 6} normalm)

are the plasma wavelength and the collision wavelength of Ag. For finding the value of reflection and transmission for the structure having 2–3‐layer Fresnals formula is applicable but for multiple ...…”

Section: Mathematical Analysismentioning

confidence: 99%

“…For finding the value of reflection and transmission for the structure having 2–3‐layer Fresnals formula is applicable but for multiple layers it would be troublesome to directly use the Fresnals equation for each interface layer. The radiative properties of a multi‐layered structure or the reflectivity of P polarised light can be found transfer matrix method [24, 39]. The tangential field between the boundaries is related by

(][, \begin{matrix} 1em4pt \\ A_{1} \\ B_{1} \end{matrix}) = M_{2} M_{3} M_{4} \dots M_{N - 1} (][, \begin{matrix} 1em4pt \\ A_{N - 1} \\ B_{N - 1} \end{matrix}) = M (][, \begin{matrix} 1em4pt \\ A_{N - 1} \\ B_{N - 1} \end{matrix})

Here,

A_{1}

and

B_{1}

are the tangential components of electric and magnetic field, respectively, at the boundary of the first layer.…”

Section: Mathematical Analysismentioning

confidence: 99%

Effect of Perovskite material on performance of surface plasmon resonance biosensor

Srivastava¹,

Das

Prajapati³

2020

IET Optoelectronics

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“…Periodic structures have been shown to provide better figure of merit for sensing via dispersion engineering and in particular via the increase in group index, leading to the narrowing of the resonance linewidth 13 , 14 . Indeed, enhanced sensitivity detection based on dispersion engineering using metallic gratings applied upon thin metal coated prism has been reported theoretically 15 – 18 , but to this end, no experimental results have been reported demonstrating the enhanced sensitivity with the metal grating on conventional prism configuration. Hereby, we demonstrate both numerically and experimentally the use of plasmonic nanogratings to engineer the dispersion characteristics of SPPs with the goal of obtaining narrow resonance linewidth and thus enhancing sensing capabilities.…”

Section: Introductionmentioning

confidence: 99%

Dispersion engineering with plasmonic nano structures for enhanced surface plasmon resonance sensing

Arora

Talker

Mazurski

et al. 2018

Sci Rep

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We demonstrate numerically and experimentally the enhancement of Surface Plasmon Resonance (SPR) sensing via dispersion engineering of the plasmonic response using plasmonic nanograting. Following their design and optimization, the plasmonic nanograting structures are fabricated using e-beam lithography and lift-off process and integrated into conventional prism based Kretschmann configuration. The presence of absorptive nanograting near the metal film, provides strong field enhancement with localization and allows to control the dispersion relation which was originally dictated by a conventional SPR structure. This contributes to the enhancement in Q factor which is found to be 3–4 times higher as compared to the conventional Kretschmann configuration. The influence of the incident angle on resonance wavelength is also demonstrated both numerically and experimentally, where, only a negligible wavelength shift is observed with increasing the incident angles for plasmonic nanograting configuration. This surprising feature may be helpful for studying and utilizing light-matter interaction between plasmons and narrow linewidth media (e.g. Rb atom or molecule) having nonlocalities in their susceptibility-momentum relation. Finally, we analyze the role of plasmonic nanograting in enhancing the performance of an SPR sensor. Our results indicate that the integrated SPR-nanograting device shows a great promise as a sensor for various types of analytes.

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Dispersion curve-based sensitivity engineering for enhanced surface plasmon resonance detection

Cited by 16 publications

References 33 publications

Dispersion Curve Engineering of TiO2/Silver Hybrid Substrates for Enhanced Surface Plasmon Resonance Detection

Dispersion Curve Engineering of TiO2/Silver Hybrid Substrates for Enhanced Surface Plasmon Resonance Detection

Effect of Perovskite material on performance of surface plasmon resonance biosensor

Dispersion engineering with plasmonic nano structures for enhanced surface plasmon resonance sensing

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