Multistage Dielectrophoretic Sample Preparation System

Award Information
Agency:
Department of Homeland Security
Branch
n/a
Amount:
$99,992.00
Award Year:
2011
Program:
SBIR
Phase:
Phase I
Contract:
D11PC20135
Agency Tracking Number:
11110044
Solicitation Year:
2011
Solicitation Topic Code:
H-SB011.1-002
Solicitation Number:
n/a
Small Business Information
Physical Optics Corporation
20600 Gramercy Place, Bldg. 100, Torrance, CA, 90501-1821
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
153865951
Principal Investigator:
Gregory Zeltser
psproposals@poc.com
Business Contact:
Gordon Drew
(310) 320-3088
gedrew@poc.com
Research Institution:
n/a
Abstract
High-fidelity biomolecular analysis techniques, such as PCR, DNA sequencing, or ELISA, rely heavily on adequate sample preprocessing. To achieve maximum performance from these sensitive analytical techniques, the DHS needs novel methods for flowthrough systems that prepare and concentrate biological materials from environmental samples. Physical Optics Corporation (POC) proposes to develop a Multistage Dielectrophoretic Sample Preparation (MDSP) system, based on a size-exclusion filtering method combined with a multistage electrodeless dielectrophoretic separation technique. Separation of biological material is followed by biomaterial purification, elution, concentration, and collection. The MDSP system will be composed of a reusable microfluidic chip, microfluidic platform, and readout unit. The innovations in the MDSP system enable it to perform biological material separation into four classes: bacterial cells and spores, viral particles, DNAs/RNAs, and proteins/polypeptides. In Phase I, POC will demonstrate the feasibility of the MDSP system by developing a benchtop prototype capable of separating, purifying, concentrating, and collecting the four individual classes of biological material from a mixture containing mineral debris in less than 15 minutes. In Phase II, POC plans to develop a fully functional MDSP system prototype capable of processing biological material from environmental samples, such as soil, that can be integrated into an automated detection system.

* information listed above is at the time of submission.

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