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Proceedings Paper

Arrayed imaging reflectometry for inexpensive and label-free protein arrays
Author(s): Christopher C. Striemer; Charles R. Mace; Jared A. Carter; Sourabh D. Mehta; Benjamin L. Miller
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Paper Abstract

Highly sensitive optical techniques, capable of detecting very small quantities of specific proteins in a label-free format, offer great promise for pathogen detection because they avoid the complexity, expense, and process time associated with the use of secondary reporter elements. Arrayed Imaging Reflectometry (AIR) is one of the simplest label-free methodologies, combining laser reflectance imaging of a thermally oxidized silicon chip with standard microarray printing technology to create a platform with the potential to identify and quantify 100's of target proteins in a matter of minutes. This technique exploits a reflectance zero condition that is formed when s-polarized light strikes the surface of a silicon wafer with a single-layer oxide coating. In the vicinity of this deep reflectance minimum, picometer-scale variations in film thickness (surface relief) can be imaged directly in a reflected laser signal imaged with a CCD camera. By directly arraying probe molecules onto this substrate, minute changes in the optical thickness of each spot, corresponding to binding of the target of interest, can be measured. Array size is limited only by the resolution of the imaging system and the array printer, enabling complex protein signatures, indicative of specific pathogens or disease states to be measured in a biosample. The cost-effectiveness of a low-complexity substrate and reader, combined with the short assay times associated with label-free detection make AIR a promising new technology for pathogen and toxic exposure assessment.

Paper Details

Date Published: 19 February 2009
PDF: 10 pages
Proc. SPIE 7167, Frontiers in Pathogen Detection: From Nanosensors to Systems, 71670G (19 February 2009); doi: 10.1117/12.809943
Show Author Affiliations
Christopher C. Striemer, Adarza Biosystems, Inc. (United States)
Charles R. Mace, Univ. of Rochester (United States)
Jared A. Carter, Adarza Biosystems, Inc. (United States)
Sourabh D. Mehta, Adarza Biosystems, Inc. (United States)
Benjamin L. Miller, Univ. of Rochester (United States)

Published in SPIE Proceedings Vol. 7167:
Frontiers in Pathogen Detection: From Nanosensors to Systems
Philippe M. Fauchet, Editor(s)

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