Fluctuation-Enhanced Sensing for Biological Agent Detection and Identification
Laszlo B. Kish, Hung C. Chang, Maria D. King, Chiman Kwan, James O., Jensen, Gabor Schmera, Janusz Smulko, Zoltan Gingl, and Claes G. Granqvist

TL;DR
This paper reviews fluctuation-enhanced sensing techniques for detecting and identifying biological agents, including bacterium detection, microbial odor sensing, and spore identification through noise analysis.
Contribution
It consolidates previous results on three fluctuation-enhanced sensing methods for biological agents, highlighting their applications and effectiveness.
Findings
Phage-based bacterium detection demonstrated successful identification.
Odor sensing effectively distinguished different microbes.
Spectral noise analysis identified spores by diffusion coefficients.
Abstract
We survey and show our earlier results about three different ways of fluctuation-enhanced sensing of bio agent, the phage-based method for bacterium detection published earlier; sensing and evaluating the odors of microbes; and spectral and amplitude distribution analysis of noise in light scattering to identify spores based on their diffusion coefficient.
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