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Proceedings Paper

Advanced wide-field surface plasmon microscopy of single adsorbing nanoparticles
Author(s): Shavkat Nizamov; Vitali Scherbahn; Vladimir M. Mirsky
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Paper Abstract

In-situ detection and characterization of nanoparticles in biological media as well as in food or other complex samples is still a big challenge for existing analytical methods. Here we describe a label-free and cost-effective analytical method for detection of nanoparticles in the concentration range 106 -1010 NPs/ml. The proposed method is based on the surface plasmon resonance microscopy (SPRM) with a large field of view (~1.3mm2 ). It is able to detect and count adsorbing nanoparticles individually, totally up to the hundreds of thousands of NPs on the sensor surface. At constant diffusion conditions the detection rate is proportional to the number concentration of NPs, this provides an approach to determine the NPs concentration. The adsorption of nanoparticle can be manipulated by the surface functionalization, pH and electrolyte concentration of suspensions. Images of detected nanoparticles can be quantified in order to characterize them individually. The image intensity grows quasi-linearly with nanoparticle size for the given material. However, the size and material of nanoparticle cannot be resolved directly from the image. For determination of chemical composition, SPRM can be assisted by electrochemical analysis. In this case, the gold sensor surface is used both as a resonant media for plasmon microscopy and as a working electrode. Under potential sweep, the adsorbed NPs can be subjected to electrochemical dissolution, which is detected optically. The potential of this conversion characterizes the material of NPs.

Paper Details

Date Published: 16 May 2017
PDF: 10 pages
Proc. SPIE 10231, Optical Sensors 2017, 102312F (16 May 2017); doi: 10.1117/12.2267144
Show Author Affiliations
Shavkat Nizamov, Brandenburgische Technische Univ. Cottbus (Germany)
Vitali Scherbahn, Brandenburgische Technische Univ. Cottbus (Germany)
Vladimir M. Mirsky, Brandenburgische Technische Univ. Cottbus (Germany)

Published in SPIE Proceedings Vol. 10231:
Optical Sensors 2017
Francesco Baldini; Jiri Homola; Robert A. Lieberman, Editor(s)

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