Biochemical component identification by plasmonic improved whispering gallery mode optical resonance based sensor

Vladimir A. Saetchnikov; Elina A. Tcherniavskaia; Anton V. Saetchnikov; Gustav Schweiger; Andreas Ostendorf

doi:10.1117/12.2051486

2 May 2014 Biochemical component identification by plasmonic improved whispering gallery mode optical resonance based sensor

Vladimir A. Saetchnikov, Elina A. Tcherniavskaia, Anton V. Saetchnikov, Gustav Schweiger, Andreas Ostendorf

Author Affiliations +

Proceedings Volume 9126, Nanophotonics V; 91260V (2014) https://doi.org/10.1117/12.2051486
Event: SPIE Photonics Europe, 2014, Brussels, Belgium

Abstract

Experimental data on detection and identification of variety of biochemical agents, such as proteins, microelements, antibiotic of different generation etc. in both single and multi component solutions under varied in wide range concentration analyzed on the light scattering parameters of whispering gallery mode optical resonance based sensor are represented. Multiplexing on parameters and components has been realized using developed fluidic sensor cell with fixed in adhesive layer dielectric microspheres and data processing. Biochemical component identification has been performed by developed network analysis techniques. Developed approach is demonstrated to be applicable both for single agent and for multi component biochemical analysis. Novel technique based on optical resonance on microring structures, plasmon resonance and identification tools has been developed. To improve a sensitivity of microring structures microspheres fixed by adhesive had been treated previously by gold nanoparticle solution. Another technique used thin film gold layers deposited on the substrate below adhesive. Both biomolecule and nanoparticle injections caused considerable changes of optical resonance spectra. Plasmonic gold layers under optimized thickness also improve parameters of optical resonance spectra. Biochemical component identification has been also performed by developed network analysis techniques both for single and for multi component solution. So advantages of plasmon enhancing optical microcavity resonance with multiparameter identification tools is used for development of a new platform for ultra sensitive label-free biomedical sensor.

Citation Download Citation

Vladimir A. Saetchnikov, Elina A. Tcherniavskaia, Anton V. Saetchnikov, Gustav Schweiger, and Andreas Ostendorf "Biochemical component identification by plasmonic improved whispering gallery mode optical resonance based sensor", Proc. SPIE 9126, Nanophotonics V, 91260V (2 May 2014); https://doi.org/10.1117/12.2051486

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