Identifying indoor environmental patterns from bioaerosol material using HPLC

Sarah J R Staton; Josemar A. Castillo; Thomas Taylor; Pierre Herckes; Mark Hayes

doi:10.1007/s00216-012-6495-4

Identifying indoor environmental patterns from bioaerosol material using HPLC

Sarah J R Staton, Josemar A. Castillo, Thomas Taylor, Pierre Herckes, Mark Hayes

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

Abstract

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. [Figure not available: see fulltext.]

Original language	English (US)
Pages (from-to)	351-357
Number of pages	7
Journal	Analytical and bioanalytical chemistry
Volume	405
Issue number	1
DOIs	https://doi.org/10.1007/s00216-012-6495-4
State	Published - Jan 2013

Keywords

Bioaerosols
Environmental monitoring
Environmental pattern recognition
HPLC
Separation

ASJC Scopus subject areas

Analytical Chemistry
Biochemistry

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10.1007/s00216-012-6495-4

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title = "Identifying indoor environmental patterns from bioaerosol material using HPLC",

abstract = "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. [Figure not available: see fulltext.]",

keywords = "Bioaerosols, Environmental monitoring, Environmental pattern recognition, HPLC, Separation",

author = "Staton, {Sarah J R} and Castillo, {Josemar A.} and Thomas Taylor and Pierre Herckes and Mark Hayes",

note = "Funding Information: Acknowledgments Special thanks for the assistance of Dr. Jim Anderson for providing the air samplers. This research was financially supported in part through the Department of State Fulbright Fellowship and the Department of Education Foreign Language and Area Studies Fellowship (FLAS) as well as NIH grants 1R03AI094193-01, 1R03AI099740-01, and R21EB010191-01A1.",

year = "2013",

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doi = "10.1007/s00216-012-6495-4",

language = "English (US)",

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AU - Herckes, Pierre

AU - Hayes, Mark

N1 - Funding Information: Acknowledgments Special thanks for the assistance of Dr. Jim Anderson for providing the air samplers. This research was financially supported in part through the Department of State Fulbright Fellowship and the Department of Education Foreign Language and Area Studies Fellowship (FLAS) as well as NIH grants 1R03AI094193-01, 1R03AI099740-01, and R21EB010191-01A1.

PY - 2013/1

Y1 - 2013/1

N2 - 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. [Figure not available: see fulltext.]

AB - 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. [Figure not available: see fulltext.]

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KW - Environmental pattern recognition

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KW - Separation

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Identifying indoor environmental patterns from bioaerosol material using HPLC

Abstract

Keywords

ASJC Scopus subject areas

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