Development of a mathematical model for predicting concentrations of small asbestos fibers

Details

• Personal Author:
  Beaulieu HJ ; Buchan RM ; Keefe TJ ; Richardson DC
• Description:
  The feasibility of development of a mathematical model for predicting concentrations of small fibers based on phase contrast concentrations was investigated. Such a model would not be intended as a substitute for electron microscopy, as the model could not achieve the accuracy and precision of the electron microscope. The utility of the model would be in estimating small fiber concentrations in future epidemiological studies where the only concentration information was phase contrast counts of fibers over 5 micrometers in length. Development of the predictive model required conditions be performed on the fiber distributions of both phase contrast (PC) and scanning electron microscopic (SEM) counts. A significant correlation was noted between the log-e of the SEM concentration which allowed a regression equation to be developed. The model was used to predict SEM concentrations from phase contrast concentrations. The mean percentage error was plus or minus 41.5 percent. For a given phase contrast concentration, the SEM concentration can be predicted. It appeared from the results of this study that the use of this predictive model to estimate SEM concentration from phase contrast concentration was not a viable approach at this time. [Description provided by NIOSH]
• Subjects:
  Air Pollutants, Occupational Asbestos Environmental Monitoring Inorganic Chemicals Microbiology Occupational Health Particulate Matter Safety Staff Development
• Keywords:
  Air-quality-measurement Air-quality-monitoring Airborne-particles Asbestos-fibers Mathematical-models Microscopic-analysis NIOSH-Grant NIOSH-Publication Training
• ISSN:
  0013-9351
• Document Type:
  Text
• Funding:
  Grant
• Genre:
  Journal Article
• Place as Subject:
  Colorado ; OSHA Region 8
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Pages in Document:
  296-299
• Volume:
  33
• Issue:
  2
• NIOSHTIC Number:
  nn:00192021
• Citation:
  Environ Res 1984 Apr; 33(2):296-299
• Contact Point Address:
  Microbiology Colorado State University Department of Microbiology Fort Collins, Colo 80523
• Federal Fiscal Year:
  1984
• Performing Organization:
  Colorado State University, Fort Collins, Colorado
• Peer Reviewed:
  True
• Start Date:
  19750701
• Source Full Name:
  Environmental Research
• End Date:
  19940630
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:18224b5e2b8bfafc0bfa7f573ecf0f9ff876ce48ea63bb948fbb77a4e49755b5203110323622d07d83623d427daf226708ab1e6b94a36c389eb7dfbecd450f48
• Download URL:
  https://stacks.cdc.gov/view/cdc/204478/cdc_204478_DS1.pdf
• File Type:
  [PDF - 278.42 KB ]