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.
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
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Cited
16 citations as recorded by crossref.
- Machine Learning for Predicting Chemical Potentials of Multifunctional Organic Compounds in Atmospherically Relevant Solutions N. Hyttinen et al.
- Predicting liquid–liquid phase separation in ternary organic–organic–water mixtures N. Hyttinen
- Assessment of methods for predicting physical and chemical properties of organic compounds T. Salthammer
- Laboratory and field characterization of an atmospheric pressure transverse chemical ionization ion-molecule reaction region P. Rund et al.
- Uncertainties and Gaps in Comprehensive Kinetic Modeling of Secondary Organic Aerosol Formation from α-Pinene Ozonolysis C. Shen et al.
- The search for sparse data in molecular datasets: Application of active learning to identify extremely low volatile organic compounds V. Besel et al.
- Reactivity of Benzoylperoxy Radicals with Monoterpenes: One-Step Reaction to Form Low-Volatility Organic Compounds D. Pasik et al.
- An intercomparison study of four different techniques for measuring the chemical composition of nanoparticles L. Caudillo et al.
- Improved vapor pressure predictions using group contribution-assisted graph convolutional neural networks (GC2NN) M. Krüger et al.
- Atomic structures, conformers and thermodynamic properties of 32k atmospheric molecules V. Besel et al.
- Gas-to-Particle Partitioning of Products from Ozonolysis of Δ3-Carene and the Effect of Temperature and Relative Humidity L. Li et al.
- Saturation vapor pressure characterization of selected low-volatility organic compounds using a residence time chamber Z. Li et al.
- Assessment of physicochemical properties of sorbent materials in passive and active sampling systems towards gaseous nitrogen-containing compounds E. Pusfitasari et al.
- Isothermal evaporation of α-pinene secondary organic aerosol particles formed under low NOx and high NOx conditions Z. Li et al.
- Road Traffic Emissions Lead to Much Enhanced New Particle Formation through Increased Growth Rates J. Brean et al.
- Unexpected Gas-Phase Formation of Glycolic Acid Sulfate in the Atmosphere H. Sun et al.
16 citations as recorded by crossref.
- Machine Learning for Predicting Chemical Potentials of Multifunctional Organic Compounds in Atmospherically Relevant Solutions N. Hyttinen et al.
- Predicting liquid–liquid phase separation in ternary organic–organic–water mixtures N. Hyttinen
- Assessment of methods for predicting physical and chemical properties of organic compounds T. Salthammer
- Laboratory and field characterization of an atmospheric pressure transverse chemical ionization ion-molecule reaction region P. Rund et al.
- Uncertainties and Gaps in Comprehensive Kinetic Modeling of Secondary Organic Aerosol Formation from α-Pinene Ozonolysis C. Shen et al.
- The search for sparse data in molecular datasets: Application of active learning to identify extremely low volatile organic compounds V. Besel et al.
- Reactivity of Benzoylperoxy Radicals with Monoterpenes: One-Step Reaction to Form Low-Volatility Organic Compounds D. Pasik et al.
- An intercomparison study of four different techniques for measuring the chemical composition of nanoparticles L. Caudillo et al.
- Improved vapor pressure predictions using group contribution-assisted graph convolutional neural networks (GC2NN) M. Krüger et al.
- Atomic structures, conformers and thermodynamic properties of 32k atmospheric molecules V. Besel et al.
- Gas-to-Particle Partitioning of Products from Ozonolysis of Δ3-Carene and the Effect of Temperature and Relative Humidity L. Li et al.
- Saturation vapor pressure characterization of selected low-volatility organic compounds using a residence time chamber Z. Li et al.
- Assessment of physicochemical properties of sorbent materials in passive and active sampling systems towards gaseous nitrogen-containing compounds E. Pusfitasari et al.
- Isothermal evaporation of α-pinene secondary organic aerosol particles formed under low NOx and high NOx conditions Z. Li et al.
- Road Traffic Emissions Lead to Much Enhanced New Particle Formation through Increased Growth Rates J. Brean et al.
- Unexpected Gas-Phase Formation of Glycolic Acid Sulfate in the Atmosphere H. Sun et al.
Saved (final revised paper)
Latest update: 28 Apr 2026
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...
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