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Binary Fingerprints at Fluctuation-Enhanced Sensing
AbstractWe 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 × 104-106. 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.
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Chang, H.-C.; Kish, L.B.; King, M.D.; Kwan, C. Binary Fingerprints at Fluctuation-Enhanced Sensing. Sensors 2010, 10, 361-373.View more citation formats
Chang H-C, Kish LB, King MD, Kwan C. Binary Fingerprints at Fluctuation-Enhanced Sensing. Sensors. 2010; 10(1):361-373.Chicago/Turabian Style
Chang, Hung-Chih; Kish, Laszlo B.; King, Maria D.; Kwan, Chiman. 2010. "Binary Fingerprints at Fluctuation-Enhanced Sensing." Sensors 10, no. 1: 361-373.
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