SBIR/STTR Research Award

Numerical Tools for Predicting Drug Dissolution Profiles

Award identifier 118a91de4d1b9abaec43f53075352475a5135f7abffc172c15b8cf7215c7b4adAwarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$901,535

Program and phase

STTR · Phase II

Award year

2017

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
RES Group, Inc.
Proposal award date
2017-08-01
Contract end date
2019-07-31
UEI
MEHSK81BKN87
Solicitation number
PA16-303
Topic code
NIGMS

Research abstract

Project SummaryNumerical Tools for Predicting Drug Dissolution Profiles This STTR Phase II proposal describes the development of a modeling framework that combines a mesoscopic model for hydrodynamics with disintegration and dissolution kinetic models in order to accurately describe the dissolution behavior of tabletsThe complexities of the tablet dissolution problem have led to the development of empirical methodologies being the widespread practice in the pharmaceutical industryHoweverbecause of a lack of mechanistic information the process has to be repeated for each new formulationand no insights can be gained from the testThis process adds to the cost and increases the time to market for new drugsOur approach builds on our Phase I approachwhere we used the Lattice Boltzmann modeland developed an innovative modular approach of incorporating the detailed dissolution kinetics such that we could study tablet dissolutionIn this effortwe plan to include more realistic mechanisms such as disintegration into our frameworkWe will include details about the internal structure of the tabletits porositytortuosityand distribution of componentsLiquid uptake will be modeled by including capillary effectsand material propertiessuch as wettabilities and surface energies will be included in our modelThe goal is to develop a model that can be used by pharmaceutical researchers and formulation scientistssuch that they can identify potential problems in tablet formulation

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.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

9 SBIR/STTR records share this UEI (2003–2017). Reported award amounts total $2,506,822. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

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

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.