Anoxic alkaline oxidation of bisulfide by Fe/Ce oxides: Reaction pathway
Bibliographic record
Abstract
Abstract The kinetics of the anoxic reaction between bisulfide and iron/cerium oxide–hydroxide was studied for alkaline pH [8.0–11.0] at 0.1 MPa and 298 K in a batch slurry reactor as a part and parcel of the surface chemistry in action in the oxidation of the total reduced sulfur pollutants in the pulp and paper atmospheric emissions. Bisulfide was converted into thiosulfate and polysulfides; while the leached divalent iron and thiosulfate dovetailed equimolarly for pH ≥ 9.5 which was attributed to the breaking of sulfur–oxygen surface intermediates initiated by iron‐disulfide Fe II (SS) complexes. X‐ray photoelectron spectroscopy of S 2p and Fe 2p of the material revealed iron sulfide, polysulfides/elemental sulfur and thiosulfate signatures along with Fe(III) oxide–hydroxide, Fe(II) sulfide and some Fe(II) connected to sulfoxy species. A detailed reaction pathway of the anoxic oxidation of bisulfide by Fe/Ce oxide–hydroxide based on Fe II (SS) complex was proposed for explaining the formation of zerovalent sulfur, thiosulfate, and leached ferrous iron, and whereof a kinetic model was derived to depict the Fe(II) leaching and bisulfide consumption rates. The model rate constants were analyzed in terms of sensitivity to pH, and initial concentrations of bisulfide and surface Fe(III). © 2007 American Institute of Chemical Engineers AIChE J, 2007
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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) | 0.001 | 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".