Binary fingerprints at fluctuation-enhanced sensing. Academic Article

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.

authors

• King, Maria
• Kish, Laszlo

published proceedings

• Sensors (Basel)

altmetric score

• 3

author list (cited authors)

• Chang, H., Kish, L. B., King, M. D., & Kwan, C.

citation count

• 13

complete list of authors

• Chang, Hung-Chih||Kish, Laszlo B||King, Maria D||Kwan, Chiman

publication date

• January 2010

publisher

• MDPI  Publisher

published in

• Sensors  Journal

keywords

• Algorithms
• Biosensing Techniques
• Colony Count, Microbial
• Equipment Design
• Equipment Failure Analysis
• Fluctuation-enhanced Sensing
• Nano-sensors
• Semiconducting Metal Oxide Sensors
• Transducers
• Ultra-low Power Sensor Systems

PubMed Central ID

• 22315545

Digital Object Identifier (DOI)

• 10.3390/s100100361

URI

• https://hdl.handle.net/1969.1/182680

start page

• 361

end page

• 373

volume

• 10

issue

• 1

URL

• http://dx.doi.org/10.3390/s100100361