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Original Articles

Evaluation of the pDR-1200 Real-Time Aerosol Monitor

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Pages 353-359 | Published online: 25 Apr 2008
 

Abstract

The objective of this research was to characterize the ability of the pDR-1200 real-time aerosol monitor to measure aerosols of varying size, composition, and origin. Particle aspiration and transmission efficiency was characterized at airflow rates of 2 L/min, 5 L/min, and 10 L/min in a wind tunnel in both static and orientation-averaged configurations. At 10 L/min, the particle cut point for 50% penetration of particles through the device (d 50 ) was approximately 6 μ m, while at 2 L/min and 5 L/min the d 50 was significantly larger, about 9 μ m (p = 0.01). There was no significant difference in particle penetration efficiency between facing-the-wind and orientation-averaged configurations (p avg = 0.66). The pDR-1200 response factor, which is defined as the ratio the time-averaged, monitor-reported concentration to a gravimetric filter concentration measured directly downstream of the sensing zone, was evaluated for four aerosol types: Arizona road dust, background ambient aerosol, environmental tobacco smoke, and diesel particulate matter. These aerosols, each of varying refractive index and particle size distribution, produced significant changes in the measured response factor (p < 0.01). The pDR-1200 both overestimated and underestimated (up to a factor of 7) the gravimetrically determined aerosol concentration. These discrepancies further reinforce the need to calibrate the instrument in situ for each aerosol of interest. Inter-instrument variability was generally low for co-located monitors.

ACKNOWLEDGMENTS

The authors are grateful to Maren Bennett, Colorado State University Department of Mechanical Engineering, for operating the dilution stack sampler and providing technical expertise during this work. This research was supported by the Colorado State University College of Veterinary Medicine and Biomedical Sciences College Research Council.

Notes

A Mass median aerodynamic diameter (MMAD), μ m.

B Geometric standard deviation (GSD)

C Relative standard deviation (RSD) between three co-located pDRs based on 1-min averages.

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