1. Binary Fingerprints at Fluctuation-Enhanced Sensing
- Author
-
Chang, Hung-Chih, Kish, Laszlo B., King, Maria D., and Kwan, Chiman
- Subjects
Physics - Biological Physics ,Physics - Data Analysis, Statistics and Probability ,Physics - Instrumentation and Detectors - 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., Comment: submitted for publication
- Published
- 2009
- Full Text
- View/download PDF