Articles | Volume 12, issue 7
https://doi.org/10.5194/amt-12-3761-2019
https://doi.org/10.5194/amt-12-3761-2019
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

Viewed

Total article views: 3,520 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,241 1,227 52 3,520 433 51 89
  • HTML: 2,241
  • PDF: 1,227
  • XML: 52
  • Total: 3,520
  • Supplement: 433
  • BibTeX: 51
  • EndNote: 89
Views and downloads (calculated since 20 Mar 2019)
Cumulative views and downloads (calculated since 20 Mar 2019)

Viewed (geographical distribution)

Total article views: 3,520 (including HTML, PDF, and XML) Thereof 3,200 with geography defined and 320 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 28 Mar 2024
Download
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.