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Proceedings Paper

Surface plasmon resonance imaging applied to immunosensing
Author(s): Rosa A. Fireman Dutra; Jose Otavio Maciel Neto; Eduardo Fontana
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Paper Abstract

The Surface Plasmon Resonance (SPR) technique is considered by many researchers as a very attractive approach for immunosensor development. By proper chemical modification of the gold surface, this technique avoids the use of a tracer material, such as a radioisotope, fluorophore, or enzyme, to identify the specific analyte, thus allowing kinetic analysis of biointeracting systems. However, the technique has found limited applications for the direct assay of complex biological samples due to the variable degree of non-specific binding that may occur along with the primary antigen-antibody reaction. This work describes a possible approach for the development of a new class of SPR based assays where non-specific binding effects could be minimized. The principle relies on selective UV inactivation of a gold surface coated with either antibody or antigen molecules. It is shown that under proper conditions it is possible to synthesize a surface with a pre-defined 2D variation of immunoactivity. Following exposure to a positive sample, image contrast under SPR illumination of the immunoactivated surface would be indicative of a positive reaction. The degree of SPR image contrast can be quantified and is a measure of the analyte concentration in solution. The approach minimizes non-specific binding effects, and the principle can be extended for the development of immunoassays for large scale testing of complex biological samples.

Paper Details

Date Published: 4 June 2001
PDF: 8 pages
Proc. SPIE 4254, Biomedical Diagnostic, Guidance, and Surgical-Assist Systems III, (4 June 2001); doi: 10.1117/12.427945
Show Author Affiliations
Rosa A. Fireman Dutra, Univ. Federal de Pernambuco (Brazil)
Jose Otavio Maciel Neto, Univ. Federal de Pernambuco (Brazil)
Eduardo Fontana, Univ. Federal de Pernambuco (Brazil)


Published in SPIE Proceedings Vol. 4254:
Biomedical Diagnostic, Guidance, and Surgical-Assist Systems III
Tuan Vo-Dinh; Warren S. Grundfest; David A. Benaron, Editor(s)

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