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Electrostatic, Non-Fluorescent, Fluctuation Enhanced, Bacterium Spore Analyzer

Award Information

Agency:
Department of Defense 		Branch:
Office for Chemical and Biological Defense 		Award ID:
91453 		Program Year/Program:
2009 / SBIR
Agency Tracking Number:
C091-109-0053 		Solicitation Year:
N/A 		Solicitation Topic Code:
N/A 		Solicitation Number:
N/A
Small Business Information
SIGNAL PROCESSING, INC.
13619 Valley Oak Circle ROCKVILLE, MD -
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2009
Title: Electrostatic, Non-Fluorescent, Fluctuation Enhanced, Bacterium Spore Analyzer
Agency / Branch: DOD / CBD
Contract: W911SR-09-C-0032
Award Amount: $69,999.00
 

Abstract:

This SBIR project, by utilizing the principle of Fluctuation-Enhanced Sensing (FES), aims to explore the potential of enhancing the sensitivity and selectivity of electrostatic bacterium spore analyzers, specifically Ion Mobility Spectrometers (IMS) and Mass Spectrometers (MS). We propose a high performance framework that incorporates FES to enhance the detection and classification of bio-aerosols. There are several key components in our system. First, for IMS and MS, different theoretical noise analysis techniques will be applied to analyze noise behavior in different sensors. These theoretical analyses will provide critical information on the sensing limits of different sensors. Second, a library of signal processing/pattern recognition tools will be incorporated to further enhance the detection and classification capability of our framework. We will use a low noise amplifier to enlarge the small stochastic fluctuations in the sensor. Features such as mean-square fluctuations, skewness, kurtosis, power spectrum, zero-crossing patterns, bispectrum images of the fluctuations will be extracted. Various advanced and proven classification algorithms will be used for different features. Finally, we will feed the decisions from different classifiers into a fusion algorithm. A single decision will be drawn, which is robust and optimal, as all information has been taken into account.

Principal Investigator:

Chiman Kwan
Chief Technology Officer
2405052641
chiman.kwan@signalpro.net

Business Contact:

Chihwa Yung
President
3013152322
chihwa.yung@signalpro.net
Small Business Information at Submission:

SIGNAL PROCESSING, INC.
13619 Valley Oak Circle ROCKVILLE, MD 20850

EIN/Tax ID: 134320631
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No