A Comparison of Gravimetric and Photometric Aerosol Samplers

Abstract

This study compared gravimetric and photometric aerosol sampling instruments for determining airborne concentrations of particulate matter. The instruments used were (1) the SKC(R) Deployable Particulate Sampler (DPS) that collects a sample on a filter, which is gravimetrically analyzed for concentration of mass, and (2) the TSI(R) DustTrak(TM) 8520 and Sidepak(TM)AM510 that use photometry to estimate airborne particulate concentration. The capability to use these samplers interchangeably would permit employment of the best-suited instrument based on logistical and mission parameters for military force health protection. The instruments were deployed at Yuma Proving Grounds, Arizona for testing and were used in side-by-side sampling over a period of 13 days. Three statistical analyses, Pearson correlation coefficient, correlation within means, and the Bland-Altman analysis were used to compare the derived data. Statistical interpretation of the data between the DPS and the DustTrak at the PM10 cut-point found a strong correlation of data using the metric devised for this study measuring the strength of a relationship between two variables. Analytical comparisons for the DPS and DustTrak at the PM2.5 cut-point demonstrated a weak relationship. The analysis between the DPS and the SidePak was not possible as the power source did not enable the Sidepak to sample for a twentyfour hour period and thus the samples collected were not comparable. A requirement exists for further laboratory and field studies.

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Document Details

Document Type
Technical Report
Publication Date
Mar 24, 2009
Accession Number
ADA539594

Entities

People

  • Donald W. Mcinnes

Organizations

  • Uniformed Services University of the Health Sciences

Tags

DTIC Thesaurus Topics

  • Air Pollution
  • Barometric Pressure
  • Detectors
  • Environmental Protection
  • Health Services
  • Hygiene
  • Lung Diseases
  • Measurement
  • Medical Personnel
  • Particle Size
  • Particles
  • Particulate Matter
  • Respiratory Tract Diseases
  • Statistical Analysis
  • Therapy
  • United States

Fields of Study

  • Environmental science

Readers

  • Aerosol Science/Aerosol Physics
  • Aerospace Engineering
  • Regression Analysis.