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


Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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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.