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The Award database is continually updated throughout the year. As a result, data for FY20 is not expected to be complete until September, 2021.

Download all SBIR.gov award data either with award abstracts (290MB) or without award abstracts (65MB). A data dictionary and additional information is located on the Data Resource Page. Files are refreshed monthly.

  1. IMPROVEMENT TO OZONATING WATER FOR POST-HARVEST WASHING THROUGH NANOBUBBLES

    SBC: En Solucion Inc            Topic: FDA

    AbstractAs consumer demand for fresh produce continues to growso do concerns by the Food and Drug AdministrationFDAabout foodborne illnesses and foodborne disease outbreaksPostharvest wash is a critical control point in fresh produce processing for reducing or eliminating pathogens and other field acquired contaminants that can result in such outbreaksCurrent methods of post harvest washing typica ...

    SBIR Phase I 2018 Department of Health and Human ServicesFood and Drug Administration
  2. Authentication quantitation and detection of adulteration in botanical dietary supplements using an automated chemometric platform

    SBC: MIDI, INC.            Topic: FDA

    Abstract The objective of this SBIR Phase I proposal is to test the feasibility for development of an automated platform that can perform the followingIdentify botanical components of dietary supplements throughout the supply chain by use of chemicalanalysis and integrated pattern recognition softwareDetect the presence of adulteration by use of HPLCand UHPLCanalysis of bioactive compounds andby u ...

    SBIR Phase I 2018 Department of Health and Human ServicesFood and Drug Administration
  3. Generalized Change Detection to Cue Regions of Interest

    SBC: FeatureX, Inc.            Topic: NGA181006

    Generalized change detection is a critical capability to mitigate the need for massive human inspection of the rapidly expanding volume ofglobal overhead satellite imagery. Current optical change detection approaches focus on fully specified systems to detect a predefined set ofchanges, and effective approaches for generalized change detection have not yet been demonstrated. We propose to build a ...

    SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  4. GEOFF: Geo-location from Edges, Objects, Foundational data, and a Filter

    SBC: Scientific Systems Company Inc.            Topic: NGA181007

    Ground vehicles with navigation capability (e.g., GPS) can index into foundation data (e.g., Google Maps) to gain situational awareness abouttheir surroundings. When GPS and RF navigation sources are degraded, maintaining situational awareness requires an alternative navigationsource. One alternative source is the foundation data itself. The data contain objects at known 3D locations, which projec ...

    SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
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