Regeneration of [Fe( <scp>II</scp> )‐ <scp>NTA</scp> ] <sup>−</sup> catalyzed by activated carbon in the simultaneous removal of sulphur dioxide and nitric oxide
Bibliographic record
Abstract
Abstract The combined control of NO and SO 2 can be finished with the [Fe(II)‐NTA] − solution because [Fe(II)‐NTA] − is capable of binding NO. However, the ability of [Fe(II)‐NTA] − to bind NO may be lost quickly due to the fast oxidation of [Fe(II)‐NTA] − to [Fe(III)‐NTA] by oxygen in the flue gases. To make it possible to put this technology into commercial application, efficient measures should be taken to regenerate [Fe(II)‐NTA] − to maintain the NO removal efficiency for a long time. The catalytic activity of activated carbon in the reproduction of [Fe(II)‐NTA] − has been investigated in a fixed‐bed reactor. The experiments indicate that [Fe(II)‐NTA] − reproduction increases with [Fe(III)‐NTA] and SO 3 2− concentrations as well as temperature. Fast flow and high pH are unfavourable for the reproduction of [Fe(II)‐NTA] − . An NO removal efficiency of 80.11%–89.78% is sustained for a long period of time with the [Fe(II)‐NTA] − reproduction catalyzed by activated carbon. The reaction orders with respect to [Fe(III)‐NTA] and SO 3 2− are 0.784 and 0.336, respectively. The apparent activation energy for this catalytic reaction is estimated to be 41.01 kJ mol −1 .
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 teacher head, 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".