Suppressing Ammonia Re-Emission with the Aid of the Co<sub>3</sub>O<sub>4</sub>-NPs@KIT-6 Catalyst in Ammonia-Based Desulfurization
Bibliographic record
Abstract
The re-emission of NH 3 and SO 2 caused by the decomposition of (NH 4 ) 2 SO 3 is a crucial concern in ammonia-based desulfurization. In this study, a novel Co 3 O 4 -NPs@KIT-6 catalyst with a three-dimensional two-helix structure is proposed for converting (NH 4 ) 2 SO 3 into (NH 4 ) 2 SO 4 . The oxidation rate of (NH 4 ) 2 SO 3 with the catalyst was 7.5 times that without any catalyst, and this improvement was attributed to appropriately dispersed Co 3 O 4 nanoparticles with a size of 4–10 nm that interacted with the KIT-6 support. Therefore, the number of active sites with substitution and hole defects was substantially increased, which is advantageous for high catalytic activities. Consequently, the amount of NH 3 and SO 2 re-emission during (NH 4 ) 2 SO 3 oxidation was reduced by 43.9%, which considerably reduced potential environmental risks. The results of this study serve to advance ammonia desulfurization by improving the desulfurization efficiency, downsizing the oxidation tank, and generating considerable profit from efficient reclaiming of (NH 4 ) 2 SO 4 as a fertilizer.
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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".