Products and kinetics of the reactions of an alkane monolayer and a terminal alkene monolayer with NO<sub>3</sub> radicals
Bibliographic record
Abstract
The reactions of an alkanethiol and a terminal alkenethiol self‐assembled monolayer with NO 3 radicals (in the presence of NO 2 and O 2 ) were studied. For the alkane monolayer, infrared (IR) spectroscopy and time‐of‐flight secondary ion mass spectrometry (ToF‐SIMS) confirmed the formation of organonitrates (RONO 2 ). The observation of organonitrates is in contrast to the recent X‐ray photoelectron spectroscopy (XPS) data, which showed very little nitrogen‐containing surface species. The identification of organonitrates may help explain why significant volatilization of the organic chain was not observed in recent studies of alkane monolayer oxidation by NO 3 radicals. The reactive uptake coefficient ( γ ) of NO 3 on alkene monolayers determined in our study is higher than the values obtained in a recent study using liquid and solid alkene bulk films. A possible reason for this difference may be the location of the double bond at the interface. Using the γ value determined in our studies, we show that under conditions where NO 3 is high the lifetime of an alkene monolayer in the atmosphere may be short (approximately 20 min). XPS, IR, and ToF‐SIMS were used to identify surface functional groups after the oxidation of the alkene monolayers by NO 3 . The results are consistent with the formation of C‐O, aldehyde/ketone, carboxylic groups, and nitrogen containing species.
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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".