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Fluctuation-Enhanced Sensing for Biological Agent Detection and Identification
Dept of Electrical and Computer Engineering, Texas A&M University, College Station, TX, USA.
Dept of Electrical and Computer Engineering, Texas A&M University, College Station, TX, USA.
Dept of Mechanical Engineering, Texas A&M University, College Station, TX, USA.
Signal Processing, Inc, Rockville, MD, USA.
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2011 (English)In: IEEE transactions on nanotechnology, ISSN 1536-125X, E-ISSN 1941-0085, Vol. 10, no 6, 1238-1242 p.Article in journal (Refereed) Published
Abstract [en]

We survey and show our earlier results about three different ways of fluctuation-enhanced sensing of bio agent, 1) the phage-based method for bacterium detection published earlier; 2) sensing and evaluating the odors of microbes; and 3) spectral and amplitude distribution analysis of noise in light scattering to identify spores based on their diffusion coefficient.

Place, publisher, year, edition, pages
2011. Vol. 10, no 6, 1238-1242 p.
Keyword [en]
Bacterium identification, biological sensing, fluctuation-enhanced sensing (FES), spore identification, stochastic signals
National Category
Engineering and Technology
Research subject
Engineering Science with specialization in Solid State Physics
Identifiers
URN: urn:nbn:se:uu:diva-164435DOI: 10.1109/TNANO.2011.2105277ISI: 000296742300007OAI: oai:DiVA.org:uu-164435DiVA: diva2:468515
Available from: 2011-12-21 Created: 2011-12-20 Last updated: 2017-12-08Bibliographically approved

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Granqvist, Claes-Göran

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