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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. Honey Bee Fast Response System for Broad Band Detection of Airborne Toxicants.

    SBC: BEE ALERT TECHNOLOGY, INC.            Topic: A03160

    This Small Business Innovative Research Phase I project is to develop a broad band detection system for air toxicity. Our overall objective is to show that honey bee orientation and locomotor behaviors can be used as reliable and measurable indicators of certain airborne toxicants. Locomotor sufficiency and directional orientation are behaviors that should unambiguously indicate toxicant exposu ...

    SBIR Phase I 2004 Department of DefenseArmy
  2. Innovative Manufacturing Techniques for Polysaccharide-Protein Conjugate Vaccines


    This project develops a conjugate vaccine against Shigella flexneri 2a utilizing cGMP-compatible manufacturing processes. The antigenic component of the vaccine is deacylated-polysaccharide from the bacterial LPS that has an average of one O-antigen repeat unit per polysaccharide molecule. The polysaccharide is deacylated by a biological process, and has a core structure with intact phophosphory ...

    SBIR Phase I 2004 Department of DefenseArmy
  3. Biofilm Restoration for Contaminated Army Sites

    SBC: CENTER FOR INNNOVATION, INC.            Topic: N/A

    Many Unites States Army, and other Department of Defense (DoD) sites, are contaminated with a variety of contaminants including highly energetic compounds, such as 2,4,6-trinitrotoluene (TNT), hexahydro-1,3,5-trinitro-1,3,5-triazine (RDX), chlorinated aliphatics (such as trichloroethylene,TCE) and chlorinated aromatics. These compounds often persist in soil or groundwater for extended periods of t ...

    STTR Phase I 2004 Department of DefenseArmy
  4. Heat Stable Alkaline Phosphatase from Thermophiles

    SBC: J.k. Research            Topic: N/A


    SBIR Phase I 1993 Department of DefenseArmy
  5. Develop Enironmental Monitoring Capability for Intergrating Recent Technological Advancements into a Hybrid Artificial Neural Network System


    We propose to develop an Environmental Monitoring System by integrating various technologies to create a hybrid artificial neural network system. By functionally decomposing the requirements of environmental monitoring we can apply emerging technologies to fulfill these modularized requirements. Ten (10) years of experience indicate that the technologies directly applicable to specific requirement ...

    SBIR Phase I 1993 Department of DefenseArmy

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