Identifying indoor environmental patterns from bioaerosol material using HPLC

被引:0
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作者
Sarah J. R. Staton
Josemar A. Castillo
Thomas J. Taylor
Pierre Herckes
Mark A. Hayes
机构
[1] Arizona State University,Department of Chemistry and Biochemistry
[2] US Naval Research Laboratory,Department of Mathematics and Statistical Sciences
[3] Arizona State University,undefined
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Bioaerosols; Environmental monitoring; Environmental pattern recognition; HPLC; Separation;
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摘要
A substantial portion of the atmospheric particle budget is of biological origin (human and animal dander, plant and insect debris, etc.). These bioaerosols can be considered information-rich packets of biochemical data specific to the organism of origin. In this study, bioaerosol samples from various indoor environments were analyzed to create identifiable patterns attributable to a source level of occupation. Air samples were collected from environments representative of human high-traffic- and low-traffic indoor spaces along with direct human skin sampling. In all settings, total suspended particulate matter was collected and the total aerosol protein concentration ranged from 0.03 to 1.2 μg/m3. High performance liquid chromatography was chosen as a standard analysis technique for the examination of aqueous aerosol extracts to distinguish signatures of occupation compared to environmental background. The results of this study suggest that bioaerosol “fingerprinting” is possible with the two test environments being distinguishable at a 97 % confidence interval.
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页码:351 / 357
页数:6
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