Articles | Volume 22, issue 2
https://doi.org/10.5194/acp-22-1195-2022
© 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/acp-22-1195-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
24 Jan 2022
Research article |
| 24 Jan 2022
| 24 Jan 2022
Comparison of saturation vapor pressures of α-pinene + O3 oxidation products derived from COSMO-RS computations and thermal desorption experiments
Department of Applied Physics, University of Eastern Finland, P.O. Box 1627, 70211 Kuopio, Finland
now at: Department of Chemistry, Nanoscience Center, University of Jyväskylä, 40014 Jyväskylä, Finland
Iida Pullinen
Department of Applied Physics, University of Eastern Finland, P.O. Box 1627, 70211 Kuopio, Finland
Aki Nissinen
Department of Applied Physics, University of Eastern Finland, P.O. Box 1627, 70211 Kuopio, Finland
Siegfried Schobesberger
Department of Applied Physics, University of Eastern Finland, P.O. Box 1627, 70211 Kuopio, Finland
Annele Virtanen
Department of Applied Physics, University of Eastern Finland, P.O. Box 1627, 70211 Kuopio, Finland
Taina Yli-Juuti
Department of Applied Physics, University of Eastern Finland, P.O. Box 1627, 70211 Kuopio, Finland
Viewed
Total article views: 3,486 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 20 Sep 2021)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 2,619 | 804 | 63 | 3,486 | 305 | 60 | 57 |
- HTML: 2,619
- PDF: 804
- XML: 63
- Total: 3,486
- Supplement: 305
- BibTeX: 60
- EndNote: 57
Total article views: 2,542 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 24 Jan 2022)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 1,964 | 534 | 44 | 2,542 | 185 | 53 | 49 |
- HTML: 1,964
- PDF: 534
- XML: 44
- Total: 2,542
- Supplement: 185
- BibTeX: 53
- EndNote: 49
Total article views: 944 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 20 Sep 2021)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 655 | 270 | 19 | 944 | 120 | 7 | 8 |
- HTML: 655
- PDF: 270
- XML: 19
- Total: 944
- Supplement: 120
- BibTeX: 7
- EndNote: 8
Viewed (geographical distribution)
Total article views: 3,486 (including HTML, PDF, and XML)
Thereof 3,486 with geography defined
and 0 with unknown origin.
Total article views: 2,542 (including HTML, PDF, and XML)
Thereof 2,542 with geography defined
and 0 with unknown origin.
Total article views: 944 (including HTML, PDF, and XML)
Thereof 944 with geography defined
and 0 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
12 citations as recorded by crossref.
- Atomic structures, conformers and thermodynamic properties of 32k atmospheric molecules V. Besel et al. 10.1038/s41597-023-02366-x
- Gas-to-Particle Partitioning of Products from Ozonolysis of Δ3-Carene and the Effect of Temperature and Relative Humidity L. Li et al. 10.1021/acs.jpca.3c07316
- Machine Learning for Predicting Chemical Potentials of Multifunctional Organic Compounds in Atmospherically Relevant Solutions N. Hyttinen et al. 10.1021/acs.jpclett.2c02612
- Predicting liquid–liquid phase separation in ternary organic–organic–water mixtures N. Hyttinen 10.1039/D3CP00691C
- Saturation vapor pressure characterization of selected low-volatility organic compounds using a residence time chamber Z. Li et al. 10.5194/acp-23-6863-2023
- Assessment of methods for predicting physical and chemical properties of organic compounds T. Salthammer 10.1016/j.indenv.2024.100031
- The search for sparse data in molecular datasets: Application of active learning to identify extremely low volatile organic compounds V. Besel et al. 10.1016/j.jaerosci.2024.106375
- Assessment of physicochemical properties of sorbent materials in passive and active sampling systems towards gaseous nitrogen-containing compounds E. Pusfitasari et al. 10.1016/j.chroma.2023.464119
- Isothermal evaporation of α-pinene secondary organic aerosol particles formed under low NOx and high NOx conditions Z. Li et al. 10.5194/acp-23-203-2023
- An intercomparison study of four different techniques for measuring the chemical composition of nanoparticles L. Caudillo et al. 10.5194/acp-23-6613-2023
- Road Traffic Emissions Lead to Much Enhanced New Particle Formation through Increased Growth Rates J. Brean et al. 10.1021/acs.est.3c10526
- Comparison of saturation vapor pressures of <i>α</i>-pinene + O<sub>3</sub> oxidation products derived from COSMO-RS computations and thermal desorption experiments N. Hyttinen et al. 10.5194/acp-22-1195-2022
11 citations as recorded by crossref.
- Atomic structures, conformers and thermodynamic properties of 32k atmospheric molecules V. Besel et al. 10.1038/s41597-023-02366-x
- Gas-to-Particle Partitioning of Products from Ozonolysis of Δ3-Carene and the Effect of Temperature and Relative Humidity L. Li et al. 10.1021/acs.jpca.3c07316
- Machine Learning for Predicting Chemical Potentials of Multifunctional Organic Compounds in Atmospherically Relevant Solutions N. Hyttinen et al. 10.1021/acs.jpclett.2c02612
- Predicting liquid–liquid phase separation in ternary organic–organic–water mixtures N. Hyttinen 10.1039/D3CP00691C
- Saturation vapor pressure characterization of selected low-volatility organic compounds using a residence time chamber Z. Li et al. 10.5194/acp-23-6863-2023
- Assessment of methods for predicting physical and chemical properties of organic compounds T. Salthammer 10.1016/j.indenv.2024.100031
- The search for sparse data in molecular datasets: Application of active learning to identify extremely low volatile organic compounds V. Besel et al. 10.1016/j.jaerosci.2024.106375
- Assessment of physicochemical properties of sorbent materials in passive and active sampling systems towards gaseous nitrogen-containing compounds E. Pusfitasari et al. 10.1016/j.chroma.2023.464119
- Isothermal evaporation of α-pinene secondary organic aerosol particles formed under low NOx and high NOx conditions Z. Li et al. 10.5194/acp-23-203-2023
- An intercomparison study of four different techniques for measuring the chemical composition of nanoparticles L. Caudillo et al. 10.5194/acp-23-6613-2023
- Road Traffic Emissions Lead to Much Enhanced New Particle Formation through Increased Growth Rates J. Brean et al. 10.1021/acs.est.3c10526
Latest update: 04 Jul 2025
Short summary
Accurate saturation vapor pressure estimates of atmospherically relevant organic compounds are critical for modeling secondary organic aerosol (SOA) formation. We investigated vapor pressures of highly oxygenated SOA constituents using state-of-the-art computational and experimental methods. We found a good agreement between low and extremely low vapor pressures estimated using the two methods, and the smallest molecules detected in our experiment were likely products of thermal decomposition.
Accurate saturation vapor pressure estimates of atmospherically relevant organic compounds are...
Altmetrics
Final-revised paper
Preprint