Optics Communications 402 (2017) 618–623
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Optics Communications
journal homepage: www.elsevier.com/locate/optcom
Analytical modelization of a fiber optic-based surface plasmon resonance
sensor
Issam Haddouche, Lynda Cherbi *, Mohamed Lamine Ferhat
Laboratory of Instrumentation, Institute of Electronics and Computer Engineering, USTHB University, Bab Ezzouar, Algeria
article info
Keywords:
Surface plasmon resonance
Fiber optic sensors
Water analysis
Transfer matrix method
abstract
In this paper, the design of an optical sensor for water analysis based on the Surface Plasmon Resonance (SPR)
technique is discussed, the sensor is a metal-coated optical fiber. An analytical model is developed to study the
performance of the sensor by carrying out a comparative study between the different materials that the sensor
parts are made of, in order to investigate how they affect the sensitivity and resonance visibility of the SPR
sensor. The credibility of results is verified using the TMM method. Calculation results of the two methods agree
reasonably well with each other, and show that a smaller refractive index contrast between the optical fiber
material and the outer medium can remarkably enhance sensitivity, they also reveal that working with metals
having lower plasma frequency can as well improve sensor performance. Results also suggest that the visibility
of the plasmonic resonance is reduced for wavelength values where light absorption by water is important.
© 2017 Elsevier B.V. All rights reserved.
1. Introduction
Surface plasmon resonance (SPR) is a label-free refractive index
(RI) sensing technique [1], which has been extensively studied in the
last years due to its various qualities. Among all existing RI sensing
technologies, SPR is the most widely used, it is characterized by the
lowest resolution ever achieved in the order of 10
−7
refractive index unit
(RIU) [1]. Like all label-free techniques, SPR sensing gives the ability to
make analyses without having to bind target-analytes to special chemi-
cal markers such as fluorophores, this remarkably simplifies sensor setup
and shortens sample preparation time [2].
When a surface plasmon (SP) wave propagating in a metal/dielectric
interface is excited with an incident light wave, the later loses most
of its energy to the SP wave if the two are phase matched at a given
wavelength and angle of incidence, this is known as the resonance
condition [3]. The wavelength and angle of resonance directly depend
on the refractive index of the surrounding medium [4], as illustrated
in Fig. 1. It is worth noting that metals are not the only materials
supporting SP waves [5,6], graphene based plasmonics is also a new
emerging research area that finds use in different applications such as
tunable transmission applications [7] or even in fiber optic-based SPR
sensing [8].
In the early years of SPR sensing, prisms were used to couple
the incident light to the SP wave [9,10], subsequently optical fibers
*
Corresponding author.
E-mail addresses: ihaddouche@usthb.dz (I. Haddouche), cherbi_lynda@hotmail.com (L. Cherbi), ferhat.mlamine@gmail.com (M.L. Ferhat).
started to replace prisms in many works [11,12], providing a simpli-
fied experimental setup [13]. Besides the advantages that all optical
sensors provide, optical fibers have even more interesting features to be
employed in the field of bio and chemical sensing such as small size,
remote sensing, mechanical flexibility, large bandwidth, high voltage
insulation and strong light confinement [1,14,15].
In waveguide-based SPR sensing applications, the use of gold or
silver coated silica waveguides is very common. When such structures
are used for aqueous media analysis, the resonance usually takes place
in the visible regime near 600 nm [13,16], at such a low wavelength
range the wave-analyte interaction is limited because of the tighter
mode confinement [17,18]. In this work we investigate the possibil-
ity of enhancing the performance of a waveguide-based SPR sensor
for water analysis, by carrying out simulations for different sets of
waveguide/metal layer materials. We also study the influence of light
absorption by water on the behavior of the sensor in the visible and near
infrared regimes.
An analytical model is derived for the estimation of the SPR sensor
performance, the proposed model allows a direct characterization of
sensitivity with respect to different parameters in the structure, the
transfer matrix method (TMM) is used for comparison. By using two
different simulation methods to solve the same problem, one can make
a comparison between the two so the concluded results should have
more credibility [19]. The use of the TMM for the modelization of
http://dx.doi.org/10.1016/j.optcom.2017.06.086
Received 16 April 2017; Received in revised form 6 June 2017; Accepted 25 June 2017
0030-4018/© 2017 Elsevier B.V. All rights reserved.