Binary Fingerprints at Fluctuation-Enhanced Sensing

Details Binary Fingerprints at Fluctuation-Enhanced Sensing Binary Fingerprints at Fluctuation-Enhanced Sensing

2009-12-28

arxiv.org/abs/0912.5212v1

Sensors 10(1) (2010) 361-373; www.mdpi.com/1424-8220/10/1/361

Physics

Biological Physics

submitted for publication

Scientific paper

10.3390/s100100361

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.

Affiliated with

Also associated with

No associations

Rating

Binary Fingerprints at Fluctuation-Enhanced Sensing does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Binary Fingerprints at Fluctuation-Enhanced Sensing, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Binary Fingerprints at Fluctuation-Enhanced Sensing will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-92113