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

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

doi:https://doi.org/10.5194/acp-17-7193-2017

Articles | Volume 17, issue 11

https://doi.org/10.5194/acp-17-7193-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/acp-17-7193-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

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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Final revised paper (published on 16 Jun 2017)
Preprint (discussion started on 15 Dec 2016)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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RC1: 'Review of manuscript by Zawadowicz et al.', Anonymous Referee #1, 13 Jan 2017
RC2: 'Review of Zawadowicz et al.', Anonymous Referee #2, 13 Jan 2017
RC3: 'Referee comment', Anonymous Referee #3, 19 Jan 2017
RC4: 'Referee comment', Anonymous Referee #4, 27 Jan 2017
AC1: 'Final response to comments', Maria Anna Zawadowicz, 18 Apr 2017

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Anna Wenzel on behalf of the Authors (18 Apr 2017) Author's response

ED: Referee Nomination & Report Request started (26 Apr 2017) by Alex Huffman

RR by Anonymous Referee #2 (30 Apr 2017)

RR by Anonymous Referee #3 (03 May 2017)

RR by Anonymous Referee #1 (05 May 2017)

ED: Publish subject to technical corrections (06 May 2017) by Alex Huffman

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.