Articles | Volume 17, issue 11
Research article
16 Jun 2017
Research article |  | 16 Jun 2017

Improved identification of primary biological aerosol particles using single-particle mass spectrometry

Maria A. Zawadowicz, Karl D. Froyd, Daniel M. Murphy, and Daniel J. Cziczo

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Cited articles

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Ben-Hur, A., Horn, D., Siegelmann, H. T., and Vapnik, V.: Support Vector Clustering, J. Mach. Learn. Res., 2, 125–137, 2001.
Short summary
This paper reports the results of laboratory and field measurements of primary biological aerosol particles using single-particle mass spectrometry (SPMS). Identification of biological particles using SPMS can be challenging, as their mass spectra can present features similar to phosphorus-containing minerals and combustion by-products. Using a large database of laboratory measurements, a criterion for the identification of biological particles has been developed.
Final-revised paper