The Yield of Oxygenated VOCs from Ozone Deposition on Aged Indoor Surfaces
Bibliographic record
Abstract
Ozone (O 3 ) loss on surfaces forms oxygenated VOCs (OVOCs) that can cause adverse health effects. Previous studies have focused on surface ozonolysis of pure unsaturated compounds on impermeable surfaces, whereas other work has addressed this chemistry in genuine indoor environments. Our goal is to bridge this gap by examining O 3 loss and OVOC production on glass and paint in both laboratory experiments, using surfaces purposefully contaminated with pure compounds (squalene, triolein), complex oils (skin, olive), and surfaces that were aged in an occupied apartment. Paint was chosen as a permeable and reactive material, which is the most common indoor surface. It was found that paint aged indoors had lower OVOC yields than glass when exposed to O 3, probably because O 3 reacts with paint materials rather than with deposited organics. Many OVOCs were measured, including common skin oil ozonolysis products such as acetone, 6-MHO, and 4-OPA; however, the OVOCs with the highest yields from the apartment samples were nonanal and hexanal, with the OVOC levels highly correlated with the amount of cooking that occurred. Experiments using pure compounds and complex oils produce OVOC species similar to those observed on surfaces aged in the apartment.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".