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Vol. 149, No. 2, February 2013, pp. 174-178

 

Bullet

 

Bacteria Identification by Phage Induced Impedance Fluctuation Analysis (BIPIF)

 

1 Gabor SCHMERA and 2 Laszlo B. KISH

1 Space and Naval Warfare Systems Center Pacific, San Diego, CA 92152-5001, USA

2 Texas A&M University, Department of Electrical and Computer Engineering, College Station,

TX 77843-3128, USA

E-mail: gabe.schmera@navy.mil, laszlo@ece.tamu.edu

 

Received: 31 January 2013   /Accepted: 14 February 2013   /Published: 28 February 2013

Digital Sensors and Sensor Sysstems

 

Abstract: We present a new method for detecting and identifying bacteria by measuring impedance fluctuations (impedance noise) caused by ion release by the bacteria during phage infestation. This new method significantly increases the measured signal strength and reduces the negative effects of drift, material aging, surface imperfections, 1/f potential fluctuations, thermal noise, and amplifier noise. Comparing BIPIF with another well-known method, bacteria detection by SEnsing of Phage Triggered Ion Cascades (SEPTIC), we find that the BIPIF algorithm is easier to implement, more stable and significantly more sensitive (by several orders of magnitude). We project that by using the BIPIF method detection of a single bacterium will be possible.

 

Keywords: Bacteria identification, Phage, Impedance fluctuations, Fluctuation analysis, Fluctuation enhanced sensing, FES

 

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