Catalytic Desulfurization of Gasoline via Dehydrosulfidation
Bibliographic record
Abstract
This study presents a potentially attractive route for the desulfurization of gasoline via catalytic dehydrosulfidation, removal of hydrogen sulfide from sulfur-containing molecules . The proposed study involves thermodynamic calculations and experimentation in a fluidized riser simulator at the Chemical Reaction Engineering Centre (CREC) at the University of Western Ontario. A ZSM-5 catalyst was used because of its demonstrated performance for the dehydration of methanol, a parent reaction with an expected similar reaction network. The catalyst was characterized using several techniques, including (a) BET (surface area), (b) ammonia temperature-programmed desorption (concentration of acid sites), and (c) SEM-EDX (sodium content) at various stages of catalyst preparation. The catalytic dehydrodesulfidation reaction was studied using a model compound (ethyl mercaptan, EM) in n -octane ( n -C 8 ) to represent sulfur-contaminated gasoline. The experimental data obtained were successfully fitted using a kinetic model representing the rate of disappearance of the sulfur-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".