A Novel Fractionation and Concentration System for Preparation Improved Biological Detection

Award Information
Agency:
Department of Homeland Security
Branch
n/a
Amount:
$150,000.00
Award Year:
2011
Program:
SBIR
Phase:
Phase I
Contract:
D11PC20134
Agency Tracking Number:
1111112
Solicitation Year:
2011
Solicitation Topic Code:
H-SB011.1-002
Solicitation Number:
n/a
Small Business Information
InnovaPrep LLC
132 E. Main St., Drexel, MO, 64742-0068
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
830979048
Principal Investigator:
Andrew Page
(816) 619-3375
apage@innovaprep.com
Business Contact:
Andrew Page
(816) 619-3375
apage@innovaprep.com
Research Institution:
n/a
Abstract
Detection of bioaerosols is a cornerstone in the protection of our nation from bioterrorist events. Rapid bioaerosol detection systems have advanced dramatically in recent years, but the lack of integratable automated sample preparation for these systems remains a major deficiency. Three significant issues associated with current sample preparation components in these systems are (a) a lack of an interface between large environmental samples and sample preparation and detection components requiring very small volumes, (b) deficiencies in removing inhibitory environmental material and (c) an inability to separate, and thus, differentiate whole pathogens from exogenous materials derived from those pathogens. InnovaPrep will develop a novel membrane-based fractionation and concentration system capable of removing inhibitors and separating whole pathogens and exogenous materials into two highlyconcentrated volumes. The proposed system will be exceedingly rapid; with the capability to prepare and concentrate 10 milliliter environmental aerosol samples into 100 microliter volumes in less than 15 minutes, and deliver the samples ready for identification. The system will be composed of updatable snap-together modules that can be assembled as-needed for different systems. All disposable components in the modules will have operational lifetimes of up to hundreds of samples, thereby allowing for straightforward integration into autonomous biodetection systems.

* information listed above is at the time of submission.

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