Detection of Fine Aerosols Using a Novel Aerosol Sampler

Information

  • Research Project
  • 7672220
  • ApplicationId
    7672220
  • Core Project Number
    R43HL096248
  • Full Project Number
    1R43HL096248-01
  • Serial Number
    96248
  • FOA Number
    PA-08-050
  • Sub Project Id
  • Project Start Date
    6/1/2009 - 15 years ago
  • Project End Date
    11/30/2009 - 15 years ago
  • Program Officer Name
    SMITH, ROBERT A
  • Budget Start Date
    6/1/2009 - 15 years ago
  • Budget End Date
    11/30/2009 - 15 years ago
  • Fiscal Year
    2009
  • Support Year
    1
  • Suffix
  • Award Notice Date
    6/15/2009 - 15 years ago
Organizations

Detection of Fine Aerosols Using a Novel Aerosol Sampler

DESCRIPTION (provided by applicant): The goal of the proposed research is to develop a personal exposure monitor for indoor and outdoor particulate matter in the ultrafine to 10 micron size range. The proposed device will collect large volumes of ambient air in the vicinity of the wearer's breathing zone and provide concentrated, size-classified samples for real-time analysis or for later analysis in a laboratory. This device will combine: (i) a novel aerosol concentrator to increase the particle concentration by up to three orders of magnitude, (ii) an aerodynamic size classifier to sort particles with sizes from 1 to 10 microns, and (iii) an electrostatic precipitator to capture and size classify particles smaller than 1 micron. The proposed monitor will provide the ability to couple the particle size classifier to a number of analytical assays (chemical or biological) that can be carried out in parallel. Combined with automated data recording and/or transmitting equipment and a GPS or other position-monitoring device, this monitor will be able to provide time- and space-resolved measurements of exposure to a wide range particulate matter. In the Phase I project-using advanced 3-dimensional, unsteady CFD methods-we will design a prototype of the aerodynamic particle size classifier, perform proof-of-concept experiments showing the feasibility of aerodynamic particle classification, and demonstrate nano-particle capture using an electrostatic precipitator. In Phase II we will combine the aerosol sampler/size classifier with a detection platform (possibly a microfluidic device) that can be used to carry out a variety of analyses on each size class in parallel. PUBLIC HEALTH RELEVANCE: There is a growing awareness that exposure to complex environmental agents such as fine particulate matter can trigger or exacerbate diseases such as asthma and cardiovascular disease, however, there is still much uncertainty about the importance of specific chemical or physical factors and the causal relationship between disease and exposure. Standard aerosols collection and analysis methods cannot provide real time spatial and temporal resolution and often are often very labor intensive and non-specific. The proposed approach will overcome many of these difficulties by providing a very compact, light-weight, low-cost monitoring package that can be worn by an individual and, coupled to automated data recording and/or transmitting equipment and a GPS or other position-monitoring device, this personal exposure monitor will be able to provide time- and space-resolved measurements of a wide range of ambient aerosols.

IC Name
NATIONAL HEART, LUNG, AND BLOOD INSTITUTE
  • Activity
    R43
  • Administering IC
    HL
  • Application Type
    1
  • Direct Cost Amount
  • Indirect Cost Amount
  • Total Cost
    100036
  • Sub Project Total Cost
  • ARRA Funded
    False
  • CFDA Code
    837
  • Ed Inst. Type
  • Funding ICs
    NHLBI:100036\
  • Funding Mechanism
    SBIR-STTR
  • Study Section
    ZRG1
  • Study Section Name
    Special Emphasis Panel
  • Organization Name
    ENERTECHNIX, INC.
  • Organization Department
  • Organization DUNS
    928928803
  • Organization City
    MAPLE VALLEY
  • Organization State
    WA
  • Organization Country
    UNITED STATES
  • Organization Zip Code
    98038
  • Organization District
    UNITED STATES