SBIR/STTR Research Award

SBIR Phase I: Magnetic Quantum Dots for Cell Separation and Characterization

Award identifier 1de3c49555fc822b7625d75383457efa95eeb35b86fa855e4b76d015590926fdAwarding agency National Science Foundation

Award amount

$225,000

Program and phase

SBIR · Phase I

Award year

2018

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
National Science Foundation
Branch
Not reported
Recipient company
Core Quantum Technologies
Proposal award date
2018-01-01
Contract end date
2018-06-30
UEI
NE4ZWNK8KNP3
Solicitation number
Not reported
Topic code
BM

Research abstract

This SBIR phase I project will develop new reagents to enable cell separation and analysis. Cell separation is a $3.9 billion/yr market with applications in medicine, pharmaceutical, and biological research industries. However, many current schemes perform cell separation and analysis in separate steps. A single reagent that could perform both functions would save time and money, enhancing these industries. The nanoparticle reagent developed by this research possesses magnetic properties to enable cell separation, and fluorescent properties that allow properties of separated cells to be quantified. This research will optimize this product and demonstrate proof-of-concept against the current standard approaches. The proposed product is the result of basic research previously funded by the NSF into methods to combine magnetic and fluorescent reagents, and optimization of this reagent will yield basic knowledge in manufacture and scale-up of these nanomaterials. Successful completion of these goals will lead to a new product that will enable cell separation and analysis with a single reagent, enabling cell separation with high purity and increasing signal used for quantification. These benefits could translate into reduced laboratory healthcare costs with increased diagnostic efficiency, improved pharmaceutical purity, and high tech nanomanufacturing jobs in this burgeoning industry. This research will develop magnetic-fluorescent nanoparticle reagents to enable seamless cell separation and subsequent flow cytometry analysis. Cell separation is often performed with magnetic reagents that enable high throughput; however, analysis of the separated product is performed in a separate step, typically via flow cytometry. The use of large magnetic beads for separation prevents analysis, as the beads employed are much larger than the protein quantified. Even if small nanoparticles are used, a separate reagent is required for analysis, and signal is limited as the same receptors are targeted for both separation and analysis steps. Thus, a reagent that could perform both separation and analysis steps would improve performance. This research will optimize nanoparticle reagents that enable separation and analysis and compare their performance to the current approach using two separate reagents. Thus, this research will demonstrate crucial proof-of-concept of these reagents that are manufactured using a scalable process, enabling rapid transition to beta testing and follow-on commercialization.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Research funding history

3 SBIR/STTR records share this UEI (2013–2019). Reported award amounts total $1,125,000. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: National Science Foundation

Agency intelligence

National Science Foundation

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.