The chemical processing
of organic aerosol particles is important
for atmospheric chemistry, climate, and public health. The heterogeneous
oxidation of oleic acid particles by ozone is one of the most frequently
investigated model systems. The available kinetic data span a wide
range of particle size and ozone concentration and are obtained with
different experimental techniques including electrodynamic balance
(EDB), optical tweezers, environmental chamber, and aerosol flow tube
reactors using mass spectrometry and Raman spectroscopy as detection
methods. Existing kinetic and mechanistic analyses, however, reveal
systematic differences and inconsistencies that are a matter of ongoing
debate. We developed and applied an inverse modeling approach using
a kinetic multilayer model (KM-SUB) and Monte Carlo-based global optimization
algorithms to 11 literature data sets and an additional new set of
EDB data. We were able to reconcile most experimental data with consistent
sets of multiphase chemical kinetic parameters. For a unique determination
of these parameters, however, further experiments with simultaneous
measurement of multiple observables at specific, insightful reaction
conditions are required. We tested three different reaction mechanisms
and conclude that secondary chemistry involving Criegee intermediates
appears crucial to resolve the discrepancies found in earlier studies.
Primary ozone chemistry occurs close to the particle surface and secondary
reactions seem to dominate in the particle bulk, involving OH formation
and radical chain reactions.