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The Award database is continually updated throughout the year. As a result, data for FY19 is not expected to be complete until April, 2020.

  1. Plasma-Enhancement of Absorbers for Improved Removal of PFOS and PFOA from Water

    SBC: AA Plasma LLC            Topic: 17NCER1A

    New regulations and advisory levels for perfluoroalkyl substances have resulted in increased drinking water treatment costs or abandonment of drinking water sources. Treatment technologies are needed that can achieve low parts-per-trillion levels. Presently, there are insufficient treatment technologies that can destructively remove perfluorooctanoic acid (PFOA) and/or perfluorooctane sulfonic aci ...

    SBIR Phase I 2018 Environmental Protection Agency
  2. Feasibility of rPET Lignin-Content Polylols for Significant Reduction of Halogenated Flame Retardant in Construction Spray Foam

    SBC: Resinate Materials Group, Inc.            Topic: 17NCER6A

    This EPA SBIR Phase I Research and Development proposal will demonstrate feasibility of reduction in halogenated flame retardant use in polyisocyanurate foams prepared from lignincontent rPET polyols. The study will show whether or not the lignin rPET polyol formulations meet ASTM flame retardancy standards and thus reduce or eliminate the need for halogenated fire retardants (HFRs) in spray foams ...

    SBIR Phase I 2018 Environmental Protection Agency
  3. Formulation and testing of an entirely wood-based exterior insulation board for the high-performance building market

    SBC: GO Lab Inc.            Topic: 17NCER6B

    The goal of this project is the formulation a rigid, insulating, low-density wood composite, with physical and thermal properties comparable to fossil fuel derived foams. _x000D_ _x000D_ To achieve energy conservation standards mandated by certification agencies such as Passive House and LEED, high performance buildings require multiple shells of insulation – an inner shell that contains electri ...

    SBIR Phase I 2018 Environmental Protection Agency
  4. Indoor Formaldehyde Detection by a Low-Cost Chemical Sensor Based on Organic Nanofibers

    SBC: Vaporsens, Inc.            Topic: 16NCER1A

    Need: People are exposed to formaldehyde, a carcinogen found in building materials. Highly sensitive, real-time formaldehyde sensors would improve human safety by alerting users to harmful concentrations. _x000D_ _x000D_ Technical Feasibility: Vaporsens produces chemical sensors based on novel organic nanofiber technology. Phase 1 results demonstrated high selectivity, rapid-response time, and dem ...

    SBIR Phase II 2018 Environmental Protection Agency
  5. Development of “Permit Wizard” Software for AssistedPermit Application Completion

    SBC: Total Quality Systems, Inc.            Topic: 833

    TECHNICAL ABSTRACT: The objective of this project is to research the technical feasibility of designing a software tool “Permit Wizard” that will automate the process for aquamarine permit application submittal, review, approval/disapproval and issue (including collection of fees). Aquaculture producers are currently faced with slow, complex, and often confusing permitting processes that must ...

    SBIR Phase I 2018 Department of CommerceNational Oceanic and Atmospheric Administration
  6. Doppler Wind Temperature Sounder

    SBC: Brandywine Photonics, LLC            Topic: 8212

    TECHNICAL ABSTRACT: We propose developing a new observational capability for measuring upper atmosphere (20-Km to 200-Km+ altitude) wind and temperature dynamics, based on Doppler imaging of Limb concentrations of NO, N2O, and CO2 called the Doppler Wind Temperature Sounder. The principle of operation is that by measuring the Doppler shift of trace gases created by the differential velocity betwee ...

    SBIR Phase I 2018 Department of CommerceNational Oceanic and Atmospheric Administration
  7. Algorithms for Look-down Infrared Target Exploitation

    SBC: Signature Research, Inc.            Topic: 1

    Signature Research, Inc. (SGR) and Michigan Technological University (MTU) propose a Phase I STTR effort to develop a learning algorithm which exploits the spatio-spectral characteristics inherent within IR imagery and motion imagery.Our archive of modelled and labeled data sets will allow our team to thoroughly capture the variable elements that will drive machine learning performance.The overall ...

    STTR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency

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