the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Linking Molecular Composition of Organic Aerosols to Reactive Oxygen Species Formation Using an MCR-VK Framework
Abstract. Reactive oxygen species (ROS) formation by atmospheric fine particulate matter (PM) is widely implicated in adverse health effects, yet the molecular determinants of particle-level ROS formation remain poorly constrained, largely due to the chemical complexity of organic aerosol (OA). Here, we link ROS formation to molecular-level OA composition by applying a maximum carbonyl ratio-Van Krevelen framework to ambient fine PM collected from four Chinese megacities, a German semi-urban site, a boreal forest, and laboratory-generated secondary organic aerosol (SOA) from multiple precursors. Using ultrahigh-resolution mass spectrometry combined with hydrogen peroxide (H2O2) and radical measurements, we show the intrinsic ROS (H2O2+radicals) formation potential of fine PM is governed by OA composition rather than particle mass. Volume-normalized ROS yields increase with fine PM mass concentration and dominate overall exposure in polluted urban environments. In contrast, mass-normalized ROS yields vary independently of particle loading and are strongly driven by the balance between relative fractions of oxidized organic compounds (RFOOC) and unsaturated organic compounds (RFUOC), i.e., RFOOC/RFUOC. Across urban sites, mass-normalized ROS and H2O2 yields exhibit strong correlations with RFOOC/RFUOC, establishing this metric as a robust predictor of ROS formation. Remote, biogenic-influenced aerosols exhibit higher RFOOC/RFUOC and higher ROS yields per unit mass, whereas urban aerosols exhibit the opposite behavior. Laboratory SOA further supports these composition-reactivity relationships, with OOC-rich biogenic SOA exhibiting the highest ROS yields. This study reveals molecular-level characteristics in governing aerosol ROS formation and introduces a framework for assessing health-relevant aerosol oxidative activity of chemically complex OA.
Competing interests: At least one of the (co-)authors is a member of the editorial board of Atmospheric Chemistry and Physics.
Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. While Copernicus Publications makes every effort to include appropriate place names, the final responsibility lies with the authors. Views expressed in the text are those of the authors and do not necessarily reflect the views of the publisher.- Preprint
(968 KB) - Metadata XML
-
Supplement
(824 KB) - BibTeX
- EndNote
Status: open (until 09 Sep 2026)
- RC1: 'Comment on egusphere-2026-3897', Anonymous Referee #1, 11 Aug 2026 reply
-
RC2: 'Comment on egusphere-2026-3897', Anonymous Referee #2, 19 Aug 2026
reply
This manuscript investigates the relationship between the molecular composition of organic aerosol (OA) and reactive oxygen species (ROS) formation using an MCR-VK framework. The authors combine ultrahigh-resolution mass spectrometry with ROS measurements across a wide range of ambient environments, including several Chinese megacities, a semi-urban site in Germany, a boreal forest site, and laboratory-generated SOA. The combination of field observations and laboratory experiments is a major strength. I find the manuscript generally well organized and scientifically interesting. The manuscript is potentially suitable for publication in Atmospheric Chemistry and Physics after revision. I have several comments that I believe could further strengthen the manuscript and clarify the interpretation of the results.
- One point that I think deserves some clarification is the use of RFOOC/RFUOC as an indicator of aerosol oxidative activity. As I understand it, these values are calculated from the relative LC-MS peak areas. Because different compounds can have very different ionization efficiencies in ESI, the peak-area fraction does not necessarily correspond to the actual abundance or mass fraction of OOC and UOC. I think this limitation should be stated more clearly.
- The OOC category appears to include a chemically diverse group of compounds. Some highly oxygenated compounds may be efficient ROS precursors, whereas others may not be particularly reactive. Therefore, it is worth emphasizing that OOC is a molecular-composition descriptor rather than a homogeneous group of ROS-active compounds. This would make the mechanistic interpretation of the results more balanced.
- Lines 270-272: I don’t think HOMs/Aromatics can really be considered independent validations. Both HOMs/aromatics and the MCR-VK classification are derived from the same UHRMS molecular-formula data. I suggest replacing “independent structural indicators” with something like “complementary molecular indicators” or otherwise clarifying this point.
- Lines 396-402: regarding the exponential relationship in Figure 4a, I am not sure that the fitted relationship alone is sufficient to support the saturation behavior. The nonlinear relationship is interesting, but the saturation could simply describe the empirical distribution of the data. I suggest either providing additional evidence for the proposed mechanism or making this interpretation more tentative.
- Lines 505-510: While the authors acknowledge the potential role of transition metals in ROS formation, it should also be emphasized that the current analysis does not quantitatively separate the contribution of OA from that of inorganic components.
Minor comment:
- There appears to be a wording error in line 145: “while it was while 0.5–1 ppm for isoprene and naphthalene.”
- Lines 415-419: Mismatch between the text and Figure S7; I actually think this discussion can be deleted.
- Line 195: Provide references to support the statement that short-lived radicals are “assumed to rapidly react with BMPO”.
- Line 492: The statement that the MCR-VK framework is “broadly applicable to chemically diverse atmospheric aerosols” seems somewhat stronger than supported by the current dataset, particularly given the deviation of Hyytiälä from the urban relationship. I suggest softening this statement.
- Line 494: There is an extra period in “oxidative activity..”
- Line 499: Replace “further validates these conclusions” with something slightly more cautious, such as “provides further support for these conclusions.”
Citation: https://doi.org/10.5194/egusphere-2026-3897-RC2
Viewed
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 157 | 49 | 19 | 225 | 34 | 17 | 23 |
- HTML: 157
- PDF: 49
- XML: 19
- Total: 225
- Supplement: 34
- BibTeX: 17
- EndNote: 23
Viewed (geographical distribution)
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
Comments on egusphere-2026-389:
Minor corrections: