Potentially important nighttime heterogeneous chemistry: NO3 with aldehydes and N2O5 with alcohols
Bibliographic record
Abstract
We report the first measurements of the reactive uptake of NO(3) with condensed-phase aldehydes. Specifically, we studied NO(3) uptake on solid tridecanal and the uptake on liquid binary mixtures containing tridecanal and saturated organic molecules (diethyl sebacate, dioctyl sebacate, and squalane) which we call matrix molecules. Uptake on the solid was shown to be efficient, where γ = (1.6 ± 0.8) × 10(-2). For liquid binary mixtures the reactivity of aldehyde depended on the matrix molecule. Assuming a bulk reaction, H(matrix)√(D(matrix)k(2°,aldehyde)) varied by a factor of 2.6, and assuming a surface reaction H(matrix)(S)K(matrix)(S)k(2°,aldehyde)(S) varied by a factor of 2.9, where H(matrix)√(D(matrix)k(2°,aldehyde)) and H(matrix)(S)K(matrix)(S)k(2°,aldehyde)(S) are constants extracted from the data using the resistor model. By assuming either a bulk or surface reaction, the atmospheric lifetimes for aldehydes were estimated to range from 1.9-7.5 h. We also carried out detailed studies of N(2)O(5) uptake kinetics on alcohols. We show that uptake coefficients of N(2)O(5) for five different organics at 293 K varied by more than 2 orders of magnitude, ranging from 3 × 10(-4) to 1.8 × 10(-2). We show that the uptake coefficients correlate with √(D(alcohol)(OH concentration)) but more work is needed with other alcohols to completely understand the dependence. Using this kinetic data we show that the atmospheric lifetime of alcohols with respect to N(2)O(5) heterogeneous chemistry can vary from 0.6-130 h, depending on the physical and chemical properties of the organic liquid.
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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".