Evaluation of epifluorescence methods for quantifying bioaerosols in fine and coarse particulate air pollution

L. W.Antony Chen*, Mi Zhang, Ting Liu, K. Fortier, Judith C. Chow, Fernanda Alonzo, Rachel Kolberg, J. Cao, Ge Lin, Tanviben Y. Patel, Patricia Cruz, Mark P. Buttner, John G. Watson

*Corresponding author for this work

Research output: Contribution to journalJournal Articlepeer-review

19 Citations (Scopus)

Abstract

Despite being recognized as an important part of particulate matter (PM) air pollution and health risk, bioaerosols have not been quantified as extensively as other PM components for establishing PM standards and management strategies. The challenge lies partly in the lack of practical measurement methods. This study evaluated a filter-based, direct-staining fluorescence microscopy (DS-FM) method that may be adapted to routine air quality monitoring for bioaerosol concentration and size distribution. Through testing with bioaerosol standards made of bacterial cells and fungal spores, the method is shown to have precision, accuracy, detection limit, and dynamic range suitable for most ambient environments. DS-FM was demonstrated with PM samples from an arid urban location in Las Vegas, Nevada during the spring allergy season. Detectable bioaerosols ranged from 0.37 to 16 μm in geometric diameter and averaged 0.27 ± 0.23 cm−3 in number concentration with about 2/3 and 1/3 in the fine (≤2.5 μm) and coarse (>2.5 μm) mode, respectively. The bioaerosol mass, estimated from the size distribution and an assumed density, was mainly in the coarse mode and accounted for 17 ± 11% of PM10, 20 ± 13% of PM10-2.5, and 4 ± 3% of PM2.5 mass. Rain and high wind speeds appeared to elevate bioaerosol levels. Other advantages of DS-FM include low sample consumption and short turnaround times; a large amount of data can be generated by incorporating the measurement into current long-term air quality networks. Suggestions for using the data to inform bioaerosol origins, contributions, and public health impacts are discussed.

Original languageEnglish
Pages (from-to)620-628
Number of pages9
JournalAtmospheric Environment
Volume213
DOIs
Publication statusPublished - 15 Sept 2019
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2019 Elsevier Ltd

Keywords

  • Aerosol size distribution
  • Automated particle counting
  • DNA stain
  • PM
  • PM
  • Primary biological aerosol particles

Fingerprint

Dive into the research topics of 'Evaluation of epifluorescence methods for quantifying bioaerosols in fine and coarse particulate air pollution'. Together they form a unique fingerprint.

Cite this