Real-time detection of influenza A virus using semiconductor nanophotonics

Dominic Lepage; Alvaro Jiménez; Jacques Beauvais; Jan J Dubowski

doi:10.1038/lsa.2013.18

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Real-time detection of influenza A virus using semiconductor nanophotonics

Original Articles

- Real-time detection of influenza A virus using semiconductor nanophotonics
- Real-time detection of influenza A virus using semiconductor nanophotonics
- LSA 2013年2卷第1-2期
- Affiliations：
  
  Laboratory for Quantum Semiconductors and Photon-based BioNanotechnology, Interdisciplinary Institute for Technological Innovation (3IT), Department of Electrical and Computer Engineering, Universite´ de Sherbrooke, Sherbrooke, QC J1K 2R1, Canada
- Author bio：
  
  Professor JJ Dubowski, Laboratory for Quantum Semiconductors and Photon-based BioNanotechnology, Interdisciplinary Institute for Technological Innovation (3IT), Department of Electrical and Computer Engineering, Universite´ de Sherbrooke, Sherbrooke, QC J1K 2R1, Canada Email: jan.j.dubowski@usherbrooke.ca
- Funds：
- DOI：10.1038/lsa.2013.18
  中图分类号：
- 纸质出版日期：2013-06，
  
  网络出版日期：2013-04-12，
  
  收稿日期：2012-06-04，
  
  修回日期：2012-12-23，
  
  录用日期：2012-12-24
- Accepted：
Scan QR Code
Real-time detection of influenza A virus using semiconductor nanophotonics[J]. LSA, 2013,2(1-2).

Lepage, D. et al. Real-time detection of influenza A virus using semiconductor nanophotonics. Light: Science & Applications, 2, e62 (2013).
Real-time detection of influenza A virus using semiconductor nanophotonics[J]. LSA, 2013,2(1-2). DOI： 10.1038/lsa.2013.18.

Lepage, D. et al. Real-time detection of influenza A virus using semiconductor nanophotonics. Light: Science & Applications, 2, e62 (2013). DOI： 10.1038/lsa.2013.18.

摘要

Abstract

Modern miniaturization and the digitalization of characterization instruments greatly facilitate the diffusion of technological advances in new fields and generate innovative applications. The concept of a portable

inexpensive and semi-automated biosensing platform

or lab-on-a-chip

is a vision shared by many researchers and venture industries. Under this scope

we present a semiconductor monolithic integration approach to conduct surface plasmon resonance studies. This technology is already commonly used for biochemical characterization in pharmaceutical industries

but we have reduced the technological platform to a few nanometers in scale on a semiconductor chip. We evaluate the signal quality of this nanophotonic device using hyperspectral-imaging technology

and we compare its performance with that of a standard prism-based commercial system. Two standard biochemical agents are employed for this characterization study: bovine serum albumin and inactivated influenza A virus. Time resolutions of data acquisition varying between 360 and 2.2 s are presented

yielding 2.7×10

−5

–1.5×10

−6

RIU resolutions

respectively.

关键词

Keywords

GaAs/AlGaAs quantum well devicehyperspectral imaging technologyinfluenza A virusintegrated surface plasmon resonance biosensor

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