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Proceedings Paper

Hybrid nanoporous silicon optical biosensor architectures for biological sample analysis
Author(s): Lisa M. Bonanno; Hong Zheng; Lisa A. DeLouise
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Paper Abstract

This work focuses on demonstrating proof-of-concept for a novel nanoparticle optical signal amplification scheme employing hybrid porous silicon (PSi) sensors. We are investigating the development of target responsive hydrogels integrated with PSi optical transducers. These hybrid-PSi sensors can be designed to provide a tunable material response to target concentration ranging from swelling to complete chain dissolution. The corresponding refractive index changes are significant and readily detected by the PSi transducer. However, to increase signal to noise, lower the limit of detection, and provide a visual read out capability, we are investigating the incorporation of high refractive index nanoparticles (NP) into the hydrogel for optical signal amplification. These NPs can be nonspecifically encapsulated, or functionalized with bioactive ligands to bind polymer chains or participate in cross linking. In this work, we demonstrate encapsulation of high refractive index QD nanoparticles into a 5wt% polyacrylamide hydrogel crosslinked with N,N'-methylenebisacrylamide (BIS) and N,N Bis-acryloyl cystamine (BAC). A QD loading (~0.29 wt%) produced a 2X larger optical shift compared to the control. Dissolution of disulphide crosslinks, using Tris[2-carboxyethyl] phosphine (TCEP) reducing agent, induced gel swelling and efficient QD release. We believe this hybrid sensor concept constitutes a versatile technology platform capable of detecting a wide range of bio/chemical targets provided target analogs can be linked to the polymer backbone and crosslinks can be achieved with target responsive multivalent receptors, such a antibodies. The optical signal amplification scheme will enable a lower limit of detection sensitivity not yet demonstrated with PSi technology and colorimetric readout visible to the naked eye.

Paper Details

Date Published: 25 February 2010
PDF: 8 pages
Proc. SPIE 7553, Frontiers in Pathogen Detection: From Nanosensors to Systems, 75530L (25 February 2010); doi: 10.1117/12.847973
Show Author Affiliations
Lisa M. Bonanno, Univ. of Rochester (United States)
Hong Zheng, Univ. of Rochester Medical Ctr. (United States)
Lisa A. DeLouise, Univ. of Rochester (United States)
Univ. of Rochester Medical Ctr. (United States)

Published in SPIE Proceedings Vol. 7553:
Frontiers in Pathogen Detection: From Nanosensors to Systems
Philippe M. Fauchet; Benjamin L. Miller, Editor(s)

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