improved identification of primary biological aerosol particles using single-particle mass spectrometry
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2017
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Abstract
Measurements of primary biological aerosol particles
(PBAP), especially at altitudes relevant to cloud formation, are scarce.
Single-particle mass spectrometry (SPMS) has been used to probe aerosol
chemical composition from ground and aircraft for over 20 years. Here we
develop a method for identifying bioaerosols (PBAP and particles containing
fragments of PBAP as part of an internal mixture) using SPMS. We show that
identification of bioaerosol using SPMS is complicated because
phosphorus-bearing mineral dust and phosphorus-rich combustion by-products
such as fly ash produce mass spectra with peaks similar to those typically
used as markers for bioaerosol. We have developed a methodology to
differentiate and identify bioaerosol using machine learning statistical
techniques applied to mass spectra of known particle types. This improved
method provides far fewer false positives compared to approaches reported in
the literature. The new method was then applied to two sets of ambient data
collected at Storm Peak Laboratory and a forested site in Central Valley,
California to show that 0.04–2 % of particles in the 200–3000 nm
aerodynamic diameter range were identified as bioaerosol. In addition,
36–56 % of particles identified as biological also contained spectral
features consistent with mineral dust, suggesting internal dust–biological
mixtures.
| Reference Key |
zawadowicz2017atmosphericimproved
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|---|---|
| Authors | ;M. A. Zawadowicz;K. D. Froyd;K. D. Froyd;D. M. Murphy;D. J. Cziczo;D. J. Cziczo |
| Journal | Journal of agricultural and food chemistry |
| Year | 2017 |
| DOI |
10.5194/acp-17-7193-2017
|
| URL | |
| Keywords |
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