Parameterized Yields of Semivolatile Products from Isoprene Oxidation under Different NOx Levels: Impacts of Chemical Aging and Wall-Loss of Reactive Gases

Research output: Contribution to journalArticle


We developed a parametrizable box model to empirically derive the yields of semivolatile products from VOC oxidation using chamber measurements, while explicitly accounting for the multigenerational chemical aging processes (such as the gas-phase fragmentation and functionalization and aerosol-phase oligomerization and photolysis) under different NOx levels and the loss of particles and gases to chamber walls. Using the oxidation of isoprene as an example, we showed that the assumptions regarding the NOx-sensitive, multigenerational aging processes of VOC oxidation products have large impacts on the parametrized product yields and SOA formation. We derived sets of semivolatile product yields from isoprene oxidation under different NOx levels. However, we stress that these product yields must be used in conjunction with the corresponding multigenerational aging schemes in chemical transport models. As more mechanistic insights regarding SOA formation from VOC oxidation emerge, our box model can be expanded to include more explicit chemical aging processes and help ultimately bridge the gap between the process-based understanding of SOA formation from VOC oxidation and the bulk-yield parametrizations used in chemical transport models


  • Li Xing
  • Manish Shrivastava
  • Tzung-May Fu
  • Pontus Roldin
  • Yun Qian
  • Nga L. Ng
  • John Shilling
  • Alla Zelenyuk
  • Christopher D Cappa
External organisations
  • Peking University
  • Pacific Northwest National Laboratory
  • Institute of Earth Environment, Chinese Academy of Sciences
  • Georgia Institute of Technology
  • California Institute of Technology
  • University of California, Davis
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Natural Sciences
  • Bioenergy
Original languageEnglish
Pages (from-to)9225-9234
JournalEnvironmental Science & Technology
Issue number16
Publication statusPublished - 2018 Jul 20
Publication categoryResearch