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arXiv · 0912.5212

Binary Fingerprints at Fluctuation-Enhanced Sensing

Hung-Chih Chang·Laszlo B. Kish·Maria D. King·Chiman Kwan
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Abstract

We 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 25 thousands to 1 million. 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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Hung-Chih Chang, Laszlo B. Kish, Maria D. King, Chiman Kwan. 2009-12-28. Binary Fingerprints at Fluctuation-Enhanced Sensing. https://doi.org/10.3390/s100100361

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