Simultaneous removal of SO<sub>2</sub> and NO by CO reduction over prevulcanized Fe<sub>2</sub>O<sub>3</sub>/AC catalysts
Bibliographic record
Abstract
Abstract Low‐cost Fe 2 O 3 modified activated carbon catalysts have been prepared by a facile incipient‐wetness impregnation method and used for the low‐temperature simultaneous catalytic reduction of SO 2 and NO by CO. The effect of CO, NO, and SO 2 was studied experimentally by transient response method. Removal efficiencies of 95 % for NO and 100 % for SO 2 were obtained, respectively, for the optimum catalyst, in which the amount of Fe 2 O 3 was 10 wt%. It was found that the catalyst was robust enough under SO 2 and NO circumstances; moreover, the prevulcanization of Fe atoms was found to be essential for high efficiency. The reaction mechanism of the simultaneous desulphurization and denitrification reactions of Fe 2 O 3 /AC was proposed to follow both redox and COS mechanisms. These results make activated carbon supported Fe 2 O 3 highly promising for the simultaneous abatement of SO 2 and NO emissions generated during the combustion processes.
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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) | 0.000 | 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".