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Simulation Tool to Rapidly Design, Optimize, and Prototype Microfluidic Devices

Award Information
Agency: Department of Health and Human Services
Branch: National Institutes of Health
Contract: 1R43HG004290-01
Agency Tracking Number: HG004290
Amount: $166,486.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N/A
Solicitation Number: PHS2006-2
Timeline
Solicitation Year: 2006
Award Year: 2006
Award Start Date (Proposal Award Date): N/A
Award End Date (Contract End Date): N/A
Small Business Information
CFD RESEARCH CORPORATION 215 WYNN DR, 5TH FL
HUNTSVILLE, AL 35805
United States
DUNS: N/A
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: No
Principal Investigator
 S KRISHNAMOORTHY
 (256) 726-4891
 SK@CFDRC.COM
Business Contact
Phone: (256) 726-4841
Research Institution
N/A
Abstract

DESCRIPTION (provided by applicant): With the increasing use of microfluidics-based technologies in life sciences, the community is challenged with delivering customized and optimized prototypes at low cost and turn-around times. Current simulation- based design tools are computationally expensive (based on 3D multiphysics models) and are more suited for detailed analysis. In addition, conventional MEMS foundries are unable to meet the cost and time needs of research and development efforts for low volume manufacturing of custom microfluidic designs. We propose to develop and demonstrate a "Simulation Driven Microfabrication Methodology" to enable rapid design optimization and prototyping of microfluidic devices. From a library of standard and customized microfluidic components, the network (device) will be quickly assembled in a user-friendly GUI driven environment, and analyzed using a system solver based on a reduced order formulation. Algorithms for design and layout optimization with process and manufacturing constraints will be developed and integrated. In Phase I, the software will translate the optimized layout into bitmap-based images for rapid prototyping using a maskless photolithography technique. Proof-of-concept will be demonstrated by optimizing an enzymatic assay chip. In Phase II, we will enhance the modeling capabilities to address the diverse needs for microfluidic devices in genomic, proteomic, cell-based and diagnostic applications. Interfaces to other microfabrication processes will be developed.

* Information listed above is at the time of submission. *

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