SBIR/STTR Research Award
Microfluidic DNA Quality Control Solutions for Biobanks
Award amount
$152,084Program and phase
SBIR · Phase IAward year
2011Award details
- Awarding agency
- Department of Health and Human Services
- Branch
- National Institutes of Health
- Recipient company
- ADVANCED LIQUID LOGIC
- Proposal award date
- Not reported
- Contract end date
- Not reported
- UEI
- Not reported
- Solicitation number
- PA10-050
- Topic code
- NHGRI
Research abstract
DESCRIPTION (provided by applicant): Recent technological advances in genotyping and DNA sequencing platforms have enabled ever larger and more ambitious projects aimed at understanding the genetic basis of human disease. Specialized biobanks have emergedto meet the needs of these studies by providing for the centralized collection, storage and management of 100,000's of samples. Maintaining the quality of such large collections requires significant expenditure of time and effort with currently available techniques. The goal of this project is to develop an automated and low-cost DNA quality control solution for use in biobanks. The proposed device will combine droplet-based Digital Microfluidic sample handling and real-time PCR with gel electrophoresis in a single unified disposable cartridge. In addition to performing quantitation and quality assessment by sizing, the device will detect contamination (i.e. bacterial DNA) in the sample by real-time PCR. The aims of the Phase I project are to establish thefeasibility of implementing and then integrating each of these processes in a single device. Subsequent work in Phase II would be focused on automating all aspects of the process on a full prototype and scaling-up the number of samples to enable high-throughput multiplexed operation. PUBLIC HEALTH RELEVANCE: The goal of this project is to develop a quality control device to improve the quality and reduce the cost of large genetic studies using samples provided through biobanks.
Technology keywords
Not reported
Awards with the same topic code
Verified by an exact topic code match. This is not a text-similarity match.
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