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Cited by 726

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Autoxidation of Organic Compounds in the Atmosphere

Crounse, John D., Nielsen, Lasse B., Jørgensen, Solvejg, Kjaergaard, Henrik G., Wennberg, Paul O.·2013·The Journal of Physical Chemistry Letters

Abstract

We present a hypothesis that autoxidation (inter- and intramolecular hydrogen abstraction by peroxy radicals) plays an important role in the oxidation of organic compounds in the atmosphere, particularly organic matter associated with aerosol. In the laboratory, we determine the rate of this process at room temperature for a model system, 3-pentanone. We employ ab initio calculations to investigate H-shifts within a broader group of substituted organic compounds. We show that the rate of abstraction of hydrogen by peroxy radicals is largely determined by the thermochemistry of the nascent alkyl radicals and thus is highly influenced by neighboring substituents. As a result, autoxidation rates increase rapidly as oxygen-containing functional groups (carbonyl, hydroxy, and hydroperoxy) are added to organic compounds. This mechanism is consistent with formation of the multifunctional hydroperoxides and carbonyls often found in atmospheric aerosol particles.

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Metadata

Authors
Crounse, J. D., Nielsen, L. B., Jørgensen, S., Kjaergaard, H. G., & Wennberg, P. O.
Venue
The Journal of Physical Chemistry Letters
Published
2013-10-04
Volume
4
Issue
20
Pages
3513-3520
ISSN
1948-7185 (ISSN-L)
OpenAlex
W2077425974
Cited by
726
References
1
FWCI
21.63
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Autoxidation of Organic Compounds in the Atmosphere. https://app.cochat.ai/papers/10.1021/jz4019207
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Crounse, J. D., Nielsen, L. B., Jørgensen, S., Kjaergaard, H. G., & Wennberg, P. O. (2013). Autoxidation of Organic Compounds in the Atmosphere. The Journal of Physical Chemistry Letters. https://doi.org/10.1021/jz4019207

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.