Abstract
In this paper, surface plasmon resonance curves of an optical fiber-based sensor were investigated. From an experimental and theoretical perspective, the response curves were analyzed and discussed. Precisely, such curves were calculated by modeling the analyte/metallic layer interface using a multilayer system, including the effects of roughness. Then, the experimental response curves observed in solutions with different refractive indices were compared to the simulated curves. Good agreement was obtained with respect to the resonance peak location and the shape of the curves. Consequently, these results enabled us to predict the ideal functioning conditions of the sensor, i.e., the working parameters corresponding to the best sensitivities of detection.
Similar content being viewed by others
References
Reather H (1988) Surface plasmons on smooth and rough surfaces and on gratings, vol 111. Springer, Berlin Heidelberg New York
Homola J, Yee SS, Myszka D (2002) Surface plasmon resonance biosensors. In: Ligler FS, Rowe Taitt CA (eds) Optical biosensors: present and future. Elsevier, Amsterdam, pp 207–251
Homola J (2003) Present and future of surface plasmon resonance biosensors. Anal Bioanal Chem 377:528–539
Kretschmann E, Raether H (1968) Radiative decay of non-radiative surface plasmons excited by light. Z Naturforsch A 23:2135–2136
Phillips KS, Cheng Q (2007) Recent advances in surface plasmon resonance based techniques for bioanalysis. Anal Bioanal Chem 387:1831–1840
Jorgenson R, Yee SS (1993) A fiber-optic chemical sensor based on surface plasmon resonance. Sens Actuators B 12:213–220
Slavik R, Homola J, Ctyroky J (1998) Miniaturization of fiber optic surface plasmon resonance sensor. Sens Actuators B 51:311–315
Leonard P, Hearty S, Brennan J, Dunne L, Quinn J, Chakraborty T, O’Kennedy R (2003) Advances in biosensors for detection of pathogens in food and water. Enzyme Microb Technol 32:3–13
Homola J, Yee SS, Gauglitzand G (1999) Surface plasmon resonance sensors: review. Anal Sens Actuators B 54:3–15
Ince R, Narayanaswamy R (2006) Analysis of the performance of interferometry, surface plasmon resonance and luminescence as biosensors and chemosensors. Anal Chim Acta 569:1–20
Sharma AK, Jha R, Gupta BD (2007) Fiber-optic sensors based on surface Plasmon resonance: a comprehensive review. IEEE Sens J 7:1118–1129
Leung A, Shankar PM, Mutharasanand R (2007) A review of Fiber-optic biosensors. Sens Actuators B 125:688–703
Balaa K, Kanso M, Cuenot S, Minea T, Louarn G (2007) Experimental realization and numerical simulation of wavelength-modulated fiber optic sensor based on surface plasmon resonance–SPR. Sens Actuators B Chem 126:198–203
Chaigneau M, Balaa K, Minea T, Louarn G (2007) Plasmon resonance micro-sensor for droplets analysis. Opt Lett 32:2435–2437
Kanso M, Cuenot S, Louarn G (2007) Roughness effect on the SPR measurements for an optical fiber configuration: experimental and numerical approaches. J Opt A Pure Appl Opt 9:586–592
Lin WB, Jaffrezic-Renault N, Gagnaire A, Gagnaire H (2000) The effects of polarisation of the incident light- modeling and analysis of a SPR multimode optical fiber sensor. Sens Actuators 84:198–204
Xu Y, Jones NB, Fothergille JC, Hanning CD (2000) Analytical estimates of the characteristics of surface plasmon resonance fiber-optic sensors. Mod Opt 47:1099–1110
Watanabe M, Kajikawa K (2003) an optical fiber biosensor based on anomalous reflection of gold. Sens Actuators B 89:126–130
Sharma AK, Gupta BD (2005) On the sensitivity and signal to noise ratio of a step-index fiber optic surface plasmon resonance sensor with bimetallic layers. Opt Commun 245:159–169
Sharma AK, Gupta BD (2007) Comparison of performance parameters of conventional and nano-plasmonic fiber optic sensors. Plasmonics 2:51–54
Chiu M-H, Shih C-H, Chi M-H (2007) Optimum sensitivity of single-mode D-type optical fiber sensor in the intensity measurement. Sens Actuators B 123:1120–1124
Wolfe WL (1978) Properties of optical materials. Section 7. In: Driscoll WG (ed) Handbook of optics sponsored by the Optical Society of America. McGraw-Hill, New York
Tropf WJ, Thomas ME, Haris TJ (1995) Properties of crystals and glasses. Chapter 33. In: Bass M (ed) Handbook of optics. vol. 2. 2nd edn. McGraw-Hill, New York
Etchegoin PG, Ru ECL, Meyer M (2006) An analytic model for the optical properties of gold. J Chem Phys 125:164705
Leng J, Opsal J, Chu H, Senko M, Aspnes DE (1998) Analytic representations of the dielectric functions of materials for device and structural modeling. Thin Solid Film 313:132–136
Kovacs GJ, Scott GD (1977) Optical excitation of surface plasma waves in layered media. Phys Rev B 16:1297
Aspnes DE (1982) Optical properties of thin films. Thin Solid Film 89:249–262
Yeh P (1988) Optical waves in layered media. Wiley, New York, pp 102–117
Xu Y, Cottenden A, Jones NB (2006) A theoretical evaluation of fiber- optic evanescent wave absorption in spectroscopy and sensors. Opt Lasers Eng 44:93–101
Villatoro J, Monzón-Hernández D, Majía E (2003) Fabrication and modelling of uniform-waist single mode tapered optical fiber sensors. Appl Opt 42:2278–2283
Yin X, Hesselink L (2006) Goos-Hänchen shift surface plasmon resonance sensor. Appl Phys Lett 89:261108
Baibarac M, Mihut L, Louarn G, Mevellec JY, Wery J, Lefrant S, Baltog I (1999) Interfacial chemical effect evidenced on SERS spectra of polyaniline thin films deposited on rough metallic supports. J Raman Spectrosc 30:1105–1113
Author information
Authors and Affiliations
Corresponding author
Appendix
Appendix
Transfer matrix formalism for a multilayer system
In this appendix, we briefly explain the concept employed to realize the numerical modeling. The reflectance R of the light on our multilayer system was computed using the transfer matrix formalism. This formalism, which is based on the calculation of light propagation through a multilayer medium consisting of (N − 1) isotropic and homogeneous layers, has already been extensively described [28]. A computer simulation was performed on three- and four-layer systems (optical fiber–metal–analyte), as depicted in Fig. 3.
This electromagnetic analysis of light reflection on a multilayer system was solved by the Maxwell’s equations subjected to boundary conditions. The Maxwell’s equation states that the relationships between fundamental electromagnetic quantities, as the electric field vector E and the magnetic field vector H. A schematic illustration of the system is presented in Fig. 11. The amplitude of E and H vectors are related to the formula within the framework of transfer matrix formalism, Eq. 11:
where [M] is the characteristic matrix of the layered system defined by the following:
δ k , the phase factor of the kth layer is a function of the refractive index \(n_k = \left( {\varepsilon _k \mu _k } \right)^{{1 \mathord{\left/ {\vphantom {1 2}} \right. \kern-\nulldelimiterspace} 2}} \), the thickness \(d_k = \left( {z_k - z_{k - 1} } \right)\) of this kth layer distributed along the z-axis, the incident angle θ 0, and wavelength λ. This phase factor is defined as:
\(\eta _{_k }^{} \), the optical admittance is defined as a function of the polarization states as:
-
\(\eta _k^s = \left( {\frac{{\varepsilon _k }}{{\mu _k }}} \right)^{{1 \mathord{\left/ {\vphantom {1 2}} \right. \kern-\nulldelimiterspace} 2}} \,\cos \theta _k = \left( {\varepsilon _k - n_0^2 {\kern 1pt} \sin ^2 \theta _0 } \right)^{{1 \mathord{\left/ {\vphantom {1 2}} \right. \kern-\nulldelimiterspace} 2}} \) for s-wave (TE).
-
\(\eta _k^p = \left( {\frac{{\varepsilon _k }}{{\mu _k }}} \right)^{{1 \mathord{\left/ {\vphantom {1 2}} \right. \kern-\nulldelimiterspace} 2}} \times \frac{1}{{\cos \theta _k }} = \frac{{\varepsilon _k }}{{\eta _k^s }}\) for p-wave (TM).
Finally, the reflectance R of the whole multilayer structure is provided in terms of Fresnel reflection coefficients (r s and r p ) and then in terms of M elements as (Eqs. 12 and 13):
Power distribution launched in the optical fiber
The power distribution P in (θ in ) included into a solid angle dθ in arriving at the fiber-end face of an optical fiber is generally expressed as \(P_{in} \left( {\theta _{in} } \right)d\theta _{in} \propto \left( {{{\tan \theta _{in} } \mathord{\left/ {\vphantom {{\tan \theta _{in} } {\cos ^2 }}} \right. \kern-\nulldelimiterspace} {\cos ^2 }}\theta _{in} } \right)d\theta _{in} \), where θ in is the launched angle of the rays (Fig. 6). θ in can be expressed as a function of θ 0 from the Snell’s law: \(\theta _{in} = \arcsin \left[ {n_0 \cos \theta _0 } \right]\).
Finally, the power distribution P(θ 0 ) can be written as [17]:
Rights and permissions
About this article
Cite this article
Kanso, M., Cuenot, S. & Louarn, G. Sensitivity of Optical Fiber Sensor Based on Surface Plasmon Resonance: Modeling and Experiments. Plasmonics 3, 49–57 (2008). https://doi.org/10.1007/s11468-008-9055-1
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11468-008-9055-1