Welcome to the new version of CaltechAUTHORS. Login is currently restricted to library staff. If you notice any issues, please email coda@library.caltech.edu
Published November 16, 2023 | Published
Journal Article Open

Atmospheric Photo-Oxidation of 2-Ethoxyethanol: Autoxidation Chemistry of Glycol Ethers

Abstract

We investigate the gas-phase photo-oxidation of 2-ethoxyethanol (2-EE) initiated by the OH radical with a focus on its autoxidation pathways. Gas-phase autoxidation─intramolecular H-shifts followed by O₂ addition─has recently been recognized as a major atmospheric chemical pathway that leads to the formation of highly oxygenated organic molecules (HOMs), which are important precursors for secondary organic aerosols (SOAs). Here, we examine the gas-phase oxidation pathways of 2-EE, a model compound for glycol ethers, an important class of volatile organic compounds (VOCs) used in volatile chemical products (VCPs). Both experimental and computational techniques are applied to analyze the photochemistry of the compound. We identify oxidation products from both bimolecular and autoxidation reactions from chamber experiments at varied HO₂ levels and provide estimations of rate coefficients and product branching ratios for key reaction pathways. The H-shift processes of 2-EE peroxy radicals (RO₂) are found to be sufficiently fast to compete with bimolecular reactions under modest NO/HO₂ conditions. More than 30% of the produced RO₂ are expected to undergo at least one H-shift for conditions typical of modern summer urban atmosphere, where RO₂ bimolecular lifetime is becoming >10 s, which implies the potential for glycol ether oxidation to produce considerable amounts of HOMs at reduced NO levels and elevated temperature. Understanding the gas-phase autoxidation of glycol ethers can help fill the knowledge gap in the formation of SOA derived from oxygenated VOCs emitted from VCP sources.

 

Copyright and License

© 2023 American Chemical Society.

Acknowledgement

This material is based upon work supported by grants from the Alfred P. Sloan Foundation (G-2019-12281) and from the U.S. National Science Foundation (CHE-2305204). This work is also supported by the Novo Nordisk Foundation Grant NNF19OC0057374. We thank Sara E. Murphy for advice on experimental design and assistance with experiments and instruments. We thank James Park for providing support on the analysis of GC data. We also thank the support from the High Performance Computing Center at the University of Copenhagen.

Conflict of Interest

The authors declare no competing financial interest.

Files

jp3c04456_si_001.pdf
Files (1.7 MB)
Name Size Download all
md5:a4c037d1c12d1ccc2c9e7ca7a9571ef8
1.7 MB Preview Download

Additional details

Created:
December 13, 2023
Modified:
December 13, 2023