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Sensors 2010, 10(1), 361-373; doi:10.3390/s100100361

Binary Fingerprints at Fluctuation-Enhanced Sensing

, 1,* , 2
 and 3
Received: 8 December 2009 / Revised: 23 December 2009 / Accepted: 28 December 2009 / Published: 5 January 2010
(This article belongs to the Special Issue Metal-Oxide Based Nanosensors)
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Abstract: 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 × 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.
Keywords: fluctuation-enhanced sensing; semiconducting metal oxide sensors; nano-sensors; ultra-low power sensor systems fluctuation-enhanced sensing; semiconducting metal oxide sensors; nano-sensors; ultra-low power sensor systems
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Chang, H.-C.; Kish, L.B.; King, M.D.; Kwan, C. Binary Fingerprints at Fluctuation-Enhanced Sensing. Sensors 2010, 10, 361-373.

AMA Style

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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