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Binary Fingerprints at Fluctuation-Enhanced Sensing
- Source :
- Sensors 10(1) (2010) 361-373; www.mdpi.com/1424-8220/10/1/361
- Publication Year :
- 2009
-
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.<br />Comment: submitted for publication
Details
- Database :
- arXiv
- Journal :
- Sensors 10(1) (2010) 361-373; www.mdpi.com/1424-8220/10/1/361
- Publication Type :
- Report
- Accession number :
- edsarx.0912.5212
- Document Type :
- Working Paper
- Full Text :
- https://doi.org/10.3390/s100100361