Binary fingerprints at fluctuation-enhanced sensing. Academic Article uri icon


  • We have developed a simple way to generate binary patterns based on spectral slopes in different frequency ranges at fluctuation-enhanced sensing. Such patterns can be considered as binary "fingerprints" of odors. The method has experimentally been demonstrated with a commercial semiconducting metal oxide (Taguchi) sensor exposed to bacterial odors (Escherichia coli and Anthrax-surrogate Bacillus subtilis) and processing their stochastic signals. With a single Taguchi sensor, the situations of empty chamber, tryptic soy agar (TSA) medium, or TSA with bacteria could be distinguished with 100% reproducibility. The bacterium numbers were in the range of 2.5 10(4)-10(6). To illustrate the relevance for ultra-low power consumption, we show that this new type of signal processing and pattern recognition task can be implemented by a simple analog circuitry and a few logic gates with total power consumption in the microWatts range.

published proceedings

  • Sensors (Basel)

altmetric score

  • 3

author list (cited authors)

  • Chang, H., Kish, L. B., King, M. D., & Kwan, C.

citation count

  • 13

complete list of authors

  • Chang, Hung-Chih||Kish, Laszlo B||King, Maria D||Kwan, Chiman

publication date

  • January 2010