Articles | Volume 15, issue 1
https://doi.org/10.5194/amt-15-11-2022
© Author(s) 2022. 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-15-11-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
03 Jan 2022
Research article |
| 03 Jan 2022
| 03 Jan 2022
A study on the fragmentation of sulfuric acid and dimethylamine clusters inside an atmospheric pressure interface time-of-flight mass spectrometer
Dina Alfaouri
Department of Physics, Institute for Atmospheric and Earth System Research, University of Helsinki, Helsinki, 00014, Finland
Monica Passananti
Department of Physics, Institute for Atmospheric and Earth System Research, University of Helsinki, Helsinki, 00014, Finland
Dipartimento di Chimica, Università degli Studi di Torino, Via
Pietro Giuria 5, Turin, 10125, Italy
Tommaso Zanca
Department of Physics, Institute for Atmospheric and Earth System Research, University of Helsinki, Helsinki, 00014, Finland
Lauri Ahonen
Department of Physics, Institute for Atmospheric and Earth System Research, University of Helsinki, Helsinki, 00014, Finland
Juha Kangasluoma
Department of Physics, Institute for Atmospheric and Earth System Research, University of Helsinki, Helsinki, 00014, Finland
Jakub Kubečka
Department of Physics, Institute for Atmospheric and Earth System Research, University of Helsinki, Helsinki, 00014, Finland
Nanna Myllys
Department of Chemistry, University of Jyväskylä,
Jyväskylä, 40014, Finland
Hanna Vehkamäki
CORRESPONDING AUTHOR
Department of Physics, Institute for Atmospheric and Earth System Research, University of Helsinki, Helsinki, 00014, Finland
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Cited
11 citations as recorded by crossref.
- Base synergy in freshly nucleated particles G. Hasan et al. 10.5194/ar-3-101-2025
- Elucidating the mechanisms of atmospheric new particle formation in the highly polluted Po Valley, Italy J. Cai et al. 10.5194/acp-24-2423-2024
- Online detection of airborne nanoparticle composition with mass spectrometry: Recent advances, challenges, and opportunities X. Li et al. 10.1016/j.trac.2023.117195
- Massive Assessment of the Geometries of Atmospheric Molecular Clusters A. Jensen & J. Elm 10.1021/acs.jctc.4c01046
- Computational Tools for Handling Molecular Clusters: Configurational Sampling, Storage, Analysis, and Machine Learning J. Kubečka et al. 10.1021/acsomega.3c07412
- Current and future machine learning approaches for modeling atmospheric cluster formation J. Kubečka et al. 10.1038/s43588-023-00435-0
- Laboratory mass spectrometry of intact atmospherically-relevant particles A. Hariharan & C. Johnson 10.1016/j.jaerosci.2024.106502
- Molecular dynamics simulations of atmospherically relevant molecular clusters: a case study of nitrate ion complexes C. Daub et al. 10.1039/D5CP00908A
- Quantum chemical modeling of atmospheric molecular clusters involving inorganic acids and methanesulfonic acid M. Engsvang et al. 10.1063/5.0152517
- A high-transmission axial ion mobility classifier for mass–mobility measurements of atmospheric ions M. Leiminger et al. 10.5194/amt-15-3705-2022
- Massive Assessment of the Binding Energies of Atmospheric Molecular Clusters A. Jensen et al. 10.1021/acs.jctc.2c00825
11 citations as recorded by crossref.
- Base synergy in freshly nucleated particles G. Hasan et al. 10.5194/ar-3-101-2025
- Elucidating the mechanisms of atmospheric new particle formation in the highly polluted Po Valley, Italy J. Cai et al. 10.5194/acp-24-2423-2024
- Online detection of airborne nanoparticle composition with mass spectrometry: Recent advances, challenges, and opportunities X. Li et al. 10.1016/j.trac.2023.117195
- Massive Assessment of the Geometries of Atmospheric Molecular Clusters A. Jensen & J. Elm 10.1021/acs.jctc.4c01046
- Computational Tools for Handling Molecular Clusters: Configurational Sampling, Storage, Analysis, and Machine Learning J. Kubečka et al. 10.1021/acsomega.3c07412
- Current and future machine learning approaches for modeling atmospheric cluster formation J. Kubečka et al. 10.1038/s43588-023-00435-0
- Laboratory mass spectrometry of intact atmospherically-relevant particles A. Hariharan & C. Johnson 10.1016/j.jaerosci.2024.106502
- Molecular dynamics simulations of atmospherically relevant molecular clusters: a case study of nitrate ion complexes C. Daub et al. 10.1039/D5CP00908A
- Quantum chemical modeling of atmospheric molecular clusters involving inorganic acids and methanesulfonic acid M. Engsvang et al. 10.1063/5.0152517
- A high-transmission axial ion mobility classifier for mass–mobility measurements of atmospheric ions M. Leiminger et al. 10.5194/amt-15-3705-2022
- Massive Assessment of the Binding Energies of Atmospheric Molecular Clusters A. Jensen et al. 10.1021/acs.jctc.2c00825
Latest update: 01 Jul 2025
Short summary
To study what is happening in the atmosphere, it is important to be able to measure the molecules and clusters present in it. In our work, we studied an artifact that happens inside a mass spectrometer, in particular the fragmentation of clusters. We were able to quantify the fragmentation and retrieve the correct concentration and composition of the clusters using our dual (experimental and theoretical) approach.
To study what is happening in the atmosphere, it is important to be able to measure the...
