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Identification of Bacteria by Patterns Generated from Odor Spectra

Authors
  • Chang, Hung-Chih
  • Kish, Laszlo B.
  • King, Maria D.
  • Kwan, Chiman
Type
Published Article
Publication Date
Feb 09, 2009
Submission Date
Feb 09, 2009
Source
arXiv
License
Yellow
External links

Abstract

We use the power density spectra obtained by fluctuation-enhanced sensing of bacterial odors (Escherichia coli and Anthrax-surrogate Bacillus subtilis) to generate new, highly distinguishable, types of patterns based on the average slope of the spectra in different frequency ranges. Such plots can be considered as "fingerprints" of bacterial odors. Three different ways of pattern generation are tested, including a simple binary version. The obtained patterns are simple enough to identify the situation by the naked eye without a pattern recognizer.

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