Suppression of OH Generation from the Photo-Fenton Reaction in the Presence of α-Pinene Secondary Organic Aerosol Material
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Bibliographic record
Abstract
Although Fenton and Photo-Fenton chemistry is thought to be an important source of OH in cloud and fog water, a high dissolved organic content, especially of secondary organic aerosol (SOA) material, may affect the production of OH via this mechanism. The relative production of OH was measured for Fenton and Photo-Fenton reactions with H 2 O 2 and Fenton-like and Photo-Fenton-like reactions with α-pinene ozonolysis SOA material, under cloud water relevant conditions (5 μM iron, 45 μM H 2 O 2, and 1500 μM SOA). It is demonstrated that the generation of OH radicals from Photo-Fenton chemistry can be significantly suppressed by addition of α-pinene SOA material, where the OH yield for solutions containing H 2 O 2 and SOA material together was decreased by a factor of 6 compared to that when only H 2 O 2 was present, likely because of complexation by carboxylic acids (such as pinonic acid). When SOA is examined without additional H 2 O 2 present, OH is generated by Photo-Fenton chemistry but at a rate lower than that for Photo-Fenton chemistry with H 2 O 2 alone. Without taking into account the suppression by SOA material, one may overestimate the generation of OH by Photo-Fenton chemistry. Furthermore, the suppression of Photo-Fenton chemistry in aqueous organic aerosol may be enhanced by a higher SOA material concentration.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it