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.
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.
the Creative Commons Attribution 4.0 License.
Research article
| 
11 Jul 2019
Research article |
| 11 Jul 2019
A novel approach for simple statistical analysis of high-resolution mass spectra
Institute for Atmospheric and Earth System Research/Physics,
Faculty of Science, University of Helsinki, Helsinki, 00014, Finland
Otso Peräkylä
Institute for Atmospheric and Earth System Research/Physics,
Faculty of Science, University of Helsinki, Helsinki, 00014, Finland
Institute for Atmospheric and Earth System Research/Physics,
Faculty of Science, University of Helsinki, Helsinki, 00014, Finland
Liine Heikkinen
Institute for Atmospheric and Earth System Research/Physics,
Faculty of Science, University of Helsinki, Helsinki, 00014, Finland
Mikko Äijälä
Institute for Atmospheric and Earth System Research/Physics,
Faculty of Science, University of Helsinki, Helsinki, 00014, Finland
Kaspar R. Daellenbach
Institute for Atmospheric and Earth System Research/Physics,
Faculty of Science, University of Helsinki, Helsinki, 00014, Finland
Qiaozhi Zha
Institute for Atmospheric and Earth System Research/Physics,
Faculty of Science, University of Helsinki, Helsinki, 00014, Finland
Matthieu Riva
Institute for Atmospheric and Earth System Research/Physics,
Faculty of Science, University of Helsinki, Helsinki, 00014, Finland
Univ. Lyon, Université Claude Bernard Lyon 1, CNRS, IRCELYON,
69626, Villeurbanne, France
Olga Garmash
Institute for Atmospheric and Earth System Research/Physics,
Faculty of Science, University of Helsinki, Helsinki, 00014, Finland
Heikki Junninen
Institute for Atmospheric and Earth System Research/Physics,
Faculty of Science, University of Helsinki, Helsinki, 00014, Finland
Institute of Physics, University of Tartu, Tartu, 50090, Estonia
Pentti Paatero
Institute for Atmospheric and Earth System Research/Physics,
Faculty of Science, University of Helsinki, Helsinki, 00014, Finland
Douglas Worsnop
Institute for Atmospheric and Earth System Research/Physics,
Faculty of Science, University of Helsinki, Helsinki, 00014, Finland
Aerodyne Research, Inc., Billerica, MA 01821, USA
Mikael Ehn
Institute for Atmospheric and Earth System Research/Physics,
Faculty of Science, University of Helsinki, Helsinki, 00014, Finland
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Cited
10 citations as recorded by crossref.
- Airborne extractive electrospray mass spectrometry measurements of the chemical composition of organic aerosol D. Pagonis et al. 10.5194/amt-14-1545-2021
- Online Aerosol Chemical Characterization by Extractive Electrospray Ionization–Ultrahigh-Resolution Mass Spectrometry (EESI-Orbitrap) C. Lee et al. 10.1021/acs.est.9b07090
- Atmospheric organic vapors in two European pine forests measured by a Vocus PTR-TOF: insights into monoterpene and sesquiterpene oxidation processes H. Li et al. 10.5194/acp-21-4123-2021
- Capability of CI-Orbitrap for Gas-Phase Analysis in Atmospheric Chemistry: A Comparison with the CI-APi-TOF Technique M. Riva et al. 10.1021/acs.analchem.0c00111
- Identifying Unregulated Emissions from Conventional Diesel Self-Ignition and PPCI Marine Engines at Full Load Conditions X. Wang et al. 10.3390/jmse8020101
- Differing Mechanisms of New Particle Formation at Two Arctic Sites L. Beck et al. 10.1029/2020GL091334
- Formation of condensable organic vapors from anthropogenic and biogenic volatile organic compounds (VOCs) is strongly perturbed by NO<sub><i>x</i></sub> in eastern China Y. Liu et al. 10.5194/acp-21-14789-2021
- Orbitool: a software tool for analyzing online Orbitrap mass spectrometry data R. Cai et al. 10.5194/amt-14-2377-2021
- Insights into atmospheric oxidation processes by performing factor analyses on subranges of mass spectra Y. Zhang et al. 10.5194/acp-20-5945-2020
- Measurement report: Effects of NO<sub><i>x</i></sub> and seed aerosol on highly oxygenated organic molecules (HOMs) from cyclohexene ozonolysis M. Räty et al. 10.5194/acp-21-7357-2021
10 citations as recorded by crossref.
- Airborne extractive electrospray mass spectrometry measurements of the chemical composition of organic aerosol D. Pagonis et al. 10.5194/amt-14-1545-2021
- Online Aerosol Chemical Characterization by Extractive Electrospray Ionization–Ultrahigh-Resolution Mass Spectrometry (EESI-Orbitrap) C. Lee et al. 10.1021/acs.est.9b07090
- Atmospheric organic vapors in two European pine forests measured by a Vocus PTR-TOF: insights into monoterpene and sesquiterpene oxidation processes H. Li et al. 10.5194/acp-21-4123-2021
- Capability of CI-Orbitrap for Gas-Phase Analysis in Atmospheric Chemistry: A Comparison with the CI-APi-TOF Technique M. Riva et al. 10.1021/acs.analchem.0c00111
- Identifying Unregulated Emissions from Conventional Diesel Self-Ignition and PPCI Marine Engines at Full Load Conditions X. Wang et al. 10.3390/jmse8020101
- Differing Mechanisms of New Particle Formation at Two Arctic Sites L. Beck et al. 10.1029/2020GL091334
- Formation of condensable organic vapors from anthropogenic and biogenic volatile organic compounds (VOCs) is strongly perturbed by NO<sub><i>x</i></sub> in eastern China Y. Liu et al. 10.5194/acp-21-14789-2021
- Orbitool: a software tool for analyzing online Orbitrap mass spectrometry data R. Cai et al. 10.5194/amt-14-2377-2021
- Insights into atmospheric oxidation processes by performing factor analyses on subranges of mass spectra Y. Zhang et al. 10.5194/acp-20-5945-2020
- Measurement report: Effects of NO<sub><i>x</i></sub> and seed aerosol on highly oxygenated organic molecules (HOMs) from cyclohexene ozonolysis M. Räty et al. 10.5194/acp-21-7357-2021
Latest update: 09 Jun 2023
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.
Recent advancements in atmospheric mass spectrometry provide large amounts of new information...
