Effectiveness, Suitability, and Performance Testing of the SKC (registered trademark) Deployable Particulate Sampler as Compared to the Currently Fielded Airmetrics MiniVol (trademark)
Uniformed Services University Of The Health Sciences Bethesda United States
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Epidemiological studies have linked particulate matter PM exposure to mortality, morbidity, cardiovascular disease in the elderly, and an increased rate ofrespiratory disease. In order to monitor and assess the potential PM health risk to deployed personnel, the U.S. Army must field a portable sampler which can accurately sample particles with an aerodynamic diameter less than or equal to a nominal 2.5 micrometers PM2.5. The sampler must be rugged, compact, durable, and battery operated. In this study the SKC trademark Deployable Particulate Sampler DPS is compared to the currently fielded Airmetrics MiniVol TM sampler in the hot, dry environment of Yuma Proving Grounds, Arizona and the cold, wet environment of Fort Drum, New York. Ambient air PM2.5 was collected for fourteen and thirteen days respectively in each environment using pairs of one MiniVol trademark and one DPS at three locations simultaneously. The filters were removed, and the systems maintained as needed, every 24 hours. For all measurements taken and averaged, the DPS provided a higher though not statistically significant 24-hour concentration and collected 4.0 times more mass than the MiniVol trademark . The results for mass were significantly different. Results from ourstatistical analyses of concentration and mass were incorporated into a decision matrix for effectiveness criteria concentration and mass. Matrices for suitability criteria reliability, maintainability, interoperabilitycompatibility, trainingdocumentation, and logistics supportsafety and performance criteria flow rate and sizeweight were also utilized to evaluate each of the systems. The DPS was shown to be an improvement over the MiniVol TM when evaluated for measures of effectiveness, measures of suitability, and measures of performance utilizing these matrices.