SBIR/STTR Research Award

Use of Silver Nanostructures on Microtransponders in Ultra-sensitive Assay

Award identifier c4a8c6a966c16cd84921b393b987e3885cd4893931cf7202956c8ccf8dca10d2Awarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$298,430

Program and phase

SBIR · Phase I

Award year

2008

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
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
Pharmaseq, Inc
Proposal award date
Not reported
Contract end date
Not reported
UEI
VFRLNECLH8F4
Solicitation number
PHS2007-2
Topic code
Not reported

Research abstract

DESCRIPTION (provided by applicant): The main goal of the project is to increase sensitivity of the microtransponder-based multiplexed bioassays by (1) introducing a coating with silver nanostructures onto the microtransponders (MTPs) to enhance fluorescen ce, and (2) improving the fluorescence detection limit of the analyzer. The key element of the assay is the MTP, a monolithic 500 x 500 m integrated circuit chip that can transmit its identification code at a radio frequency (RF). Each chip consists of pho tocells, read-only memory (ROM), transmit logic circuitry, and an integrated antenna which, when the chip is illuminated, transmits an ID through a varying magnetic field. In an assay, the chips are derivatized with a molecular probe capable of binding to an analyte of interest that can be fluorescently labeled. The chips are read in a fluidics-based analyzer. The analyzer decodes the MTP ID and measures the fluorescence intensity on the MTP surface to yield information about molecular interactions in the a ssay. Metal-enhanced fluorescence is a phenomenon based on light-induced plasmon formation in the metal, often silver, and transmission of this energy through fluorescence. During the course of the project, we will coat MTPs with different types of sliver nanostructures, quantitate and characterize the fluorescence enhancement on the silicon surface of the MTP. In addition, the analyzer will be improved to measure very low fluorescence levels. This will be achieved by (1) using a highly sensitive low-noise photomultiplier or photon counting device and the connected electronics circuitry, (2) introducing improvements to software aimed at precise quantification of very shallow fluorescence peaks, (3) optimizing the optical path and the critical analysis of all components of the optical system, and (4) increasing the power of the excitation beam. The performance of the optimized system will be thoroughly characterized. We anticipate an overall three-order sensitivity improvement over the existing non-enhanced MT P system, which would allow for detection of biomolecules present in low femtomolar concentrations in assays where the molecules forming a sandwich have sufficiently high affinity. Several types of assays will also be developed to demonstrate the high sens itivity of the system, including assays for interleukins IL-2 and IL-6, mi RNAs and cancer markers cytochrome c and Bax.

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

27 SBIR/STTR records share this UEI (1998–2020). Reported award amounts total $13,992,574. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Health and Human Services, National Science Foundation

Agency intelligence

Department of Health and Human Services

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.