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• W1983542893 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 × 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." @default.
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• W1983542893 date "2010-01-05" @default.
• W1983542893 modified "2023-10-16" @default.
• W1983542893 title "Binary Fingerprints at Fluctuation-Enhanced Sensing" @default.
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• W1983542893 doi "https://doi.org/10.3390/s100100361" @default.
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