Functionalization layer influence on the sensitivity of surface plasmon resonance (SPR) biosensor

Abstract Plasmonic biosensors represent a rapidly expanding interdisciplinary field with numerous transducers which are based principally on the optical measurement of the plasmon shift, that is induced by the change of surrounding water optical index, due to the presence of biomaterials, in a binding event. A functionalization layer is practically used for selective detection of the molecules of interest. In this paper we show how this material can modify the sensitivity of the biosensor and we propose an optimization of the biosensor.

[1]  Dominique Barchiesi,et al.  Adaptive non-uniform, hyper-elitist evolutionary method for the optimization of plasmonic biosensors , 2009, 2009 International Conference on Computers & Industrial Engineering.

[2]  Jean Marie Vigoureux.  Polynomial formulation of reflection and transmission by stratified planar structures , 1991 .

[3]  A. Kolomenskiǐ,et al.  Sensitivity and detection limit of concentration and adsorption measurements by laser-induced surface-plasmon resonance. , 1997, Applied optics.

[4]  B. Liedberg,et al.  Biosensing with surface plasmon resonance--how it all started. , 1995, Biosensors & bioelectronics.

[5]  T. Grosges,et al.  A Poincaré's approach for plasmonics: the plasmon localization , 2008, Journal of microscopy.

[6]  J. Homola.  On the sensitivity of surface plasmon resonance sensors with spectral interrogation , 1997 .

[7]  Measurement of the decay lengths of the near-field signal in tapping mode , 2009 .

[8]  J. Rolland,et al.  Generalization of the Rouard method to an absorbing thin-film stack and application to surface plasmon resonance. , 2006, Applied optics.

[9]  M. Friebel,et al.  Model function to calculate the refractive index of native hemoglobin in the wavelength range of 250-1100 nm dependent on concentration. , 2006, Applied optics.

[10]  E. Kretschmann,et al.  The ATR method with focused light — Application to guided waves on a grating , 1978 .

[11]  広 久保田,et al.  Principle of Optics , 1960 .

[12]  Wolfgang Knoll,et al.  Influence of the Metal Film Thickness on the Sensitivity of Surface Plasmon Resonance Biosensors , 2005, Applied spectroscopy.

[13]  Günter Gauglitz,et al.  Surface plasmon resonance sensors: review , 1999 .

[14]  Antonio Marcus Nogueira Lima,et al.  Optical properties and instrumental performance of thin gold films near the surface plasmon resonance , 2006 .

[15]  X. D. Hoa,et al.  Towards integrated and sensitive surface plasmon resonance biosensors: a review of recent progress. , 2007, Biosensors & bioelectronics.

[16]  Dominique Barchiesi,et al.  A 3-D multilayer model of scattering by nanostructures. Application to the optimisation of thin coated nano-sources , 1996 .

[17]  D. Barchiesi.  Numerical Optimization of Plasmonic Biosensors , 2011 .

[18]  T. Grosges,et al.  Plasmonics: influence of the intermediate (or stick) layer on the efficiency of sensors , 2008 .

[19]  Eric M. Yeatman,et al.  Resolution and sensitivity in surface plasmon microscopy and sensing , 1996 .

[20]  W. Yunus,et al.  Refractive index of solutions at high concentrations. , 1988, Applied optics.

[21]  R. W. Christy,et al.  Optical Constants of the Noble Metals , 1972 .

[22]  Dominique Barchiesi,et al.  Adaptive Non-Uniform Particle Swarm Application to Plasmonic Design , 2011, Int. J. Appl. Metaheuristic Comput..

[23]  Dominique Barchiesi,et al.  Nanoshells for photothermal therapy: a Monte-Carlo based numerical study of their design tolerance , 2011, Biomedical optics express.

[24]  Kiyoshi Toko,et al.  Surface plasmon resonance immunosensor for highly sensitive detection of 2,4,6-trinitrotoluene. , 2005, Biosensors & bioelectronics.

[25]  John A. Nelder,et al.  A Simplex Method for Function Minimization , 1965, Comput. J..