Kinetics of Reaction between Hydrogen Sulfide and Sulfur Dioxide in Sulfuric Acid Solutions
Bibliographic record
Abstract
Our earlier study showed that when H 2 S and concentrated sulfuric acid react, H 2 S is first oxidized by molecular H 2 SO 4 and then consecutively by SO 2, a product of the first oxidation step. The rate of the first reaction was measured using initial rate analysis at temperatures and acid concentrations under which conditions the second reaction may be neglected. In this study, the kinetics of the second reaction, i.e., the reaction between hydrogen sulfide and sulfur dioxide in sulfuric acid solutions, was studied at 20−50 °C and 30−60 wt % of acid concentration, under which conditions the rate of the first reaction is negligible. The second reaction follows first-order kinetics with respect to the partial pressure of H 2 S in the gas phase and also to the concentration of SO 2 in the solution. Changes in acid concentration do not affect the rate constant. The activation energy and the preexponential factor of the reaction at all acid concentrations studied are 59.02 kJ mol -1 and 11 900 L s -1 m -2 Pa -1, respectively. Further experiments show that the measured kinetic results also apply to the second reaction in sulfuric acid at concentrations exceeding 60 wt %.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".