Laboratory Measurements of Thermodynamics of Adsorption of Small Aromatic Gases to<i>n</i>-Hexane Soot Surfaces
Bibliographic record
Abstract
The adsorption isotherms of a series of aromatic hydrocarbons on n-hexane soot were measured as a function of temperature and partial pressure in a coated-wall flow tube coupled to an electron-impact mass spectrometer. The specific surface area was determined for each of the samples by measuring the BET isotherm of Kr at 77 K. The gas-to-surface uptakes were fully reversible with the extent of adsorption increasing with decreasing temperature and increasing partial pressures. At low partial pressures, the isotherms were well modeled by the Langmuir isotherm for all experimental conditions, and the adsorption was found to saturate at one monolayer of coverage at approximately 2 x 10(14) molecule cm(-2). For the less volatile species, evidence for multilayer adsorption was observed and the BET isotherm was used instead. The experimental enthalpies of adsorption were consistently higher than the enthalpies of vaporization for all compounds. A linear free-energy relationship was developed between the Langmuir equilibrium constant for adsorption and the compound's (sub-cooled) liquid vapor pressure, providing validation for the use of such relationships in assessing gas-particle partitioning of aromatic hydrocarbons to soot aerosols in the environment. The experimental results were compared to the Junge-Pankow gas-to-aerosol partitioning model.
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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 | 0.001 |
| 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".