A novel approach for simple statistical analysis of high-resolution mass spectra

Zhang, Yanjun; Peräkylä, Otso; Yan, Chao; Heikkinen, Liine; Äijälä, Mikko; Daellenbach, Kaspar R.; Zha, Qiaozhi; Riva, Matthieu; Garmash, Olga; Junninen, Heikki; Paatero, Pentti; Worsnop, Douglas; Ehn, Mikael

doi:https://doi.org/10.5194/amt-12-3761-2019

Articles | Volume 12, issue 7

https://doi.org/10.5194/amt-12-3761-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/amt-12-3761-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 12, issue 7

Research article

|

11 Jul 2019

Research article |

| 11 Jul 2019

A novel approach for simple statistical analysis of high-resolution mass spectra

Yanjun Zhang, Otso Peräkylä, Chao Yan, Liine Heikkinen, Mikko Äijälä, Kaspar R. Daellenbach, Qiaozhi Zha, Matthieu Riva, Olga Garmash, Heikki Junninen, Pentti Paatero, Douglas Worsnop, and Mikael Ehn

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Final revised paper (published on 11 Jul 2019)
Supplement to the final revised paper
Preprint (discussion started on 20 Mar 2019)
Supplement to the preprint

Interactive discussion

Status: closed

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

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RC1: 'Review', Anonymous Referee #2, 17 Apr 2019
- AC2: 'Responses to Reviewer 2', Yanjun Zhang, 11 Jun 2019
RC2: 'Review comments', Anonymous Referee #1, 18 May 2019
- AC1: 'Responses to Reviewer 1', Yanjun Zhang, 11 Jun 2019

Peer-review completion

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

AR by Yanjun Zhang on behalf of the Authors (11 Jun 2019) Author's response Manuscript

ED: Publish as is (14 Jun 2019) by Jonathan Abbatt

AR by Yanjun Zhang on behalf of the Authors (17 Jun 2019) Manuscript

Short summary

Recent advancements in atmospheric mass spectrometry provide large amounts of new information but at the same time present considerable challenges for the data analysis, for example, in high-resolution peak identification and separation. To address these problems, this study presents a simple and novel method, which succeeds in analyzing both synthetic and ambient datasets. We believe it will become a powerful approach in the data analysis of mass spectra.