Effects of Ni modification on NO‐CO reaction with MnO<sub><i>x</i></sub>‐CuO/TiO<sub>2</sub> catalysts
Bibliographic record
Abstract
Abstract Ni modified MnOx‐CuO/TiO2 catalysts were synthesized by the sol‐gel method and investigated for NO‐CO reaction. The results showed that 0.05Ni‐Mn‐Cu/TiO2 (the Ni/Ti molar ratio was 0.05) had the highest NO conversion efficiency with a maximum value of 85.4 % at 350 °C, which was 10 % higher than that of Mn‐Cu/TiO2. XPS analysis showed that more chemisorbed oxygen formed on the Ni‐modified catalyst surface, which could act as active sites for CO adsorption and oxidation. CO‐TPD results confirmed that the amount of adsorbed CO on the catalyst surface increased after Ni modification. H2‐TPR results suggested that the Ni‐modified catalyst had better redox properties, which favoured the reduction of NO to N2O and N2O to N2. Furthermore, in situ FTIR showed that CO2 from the production of the NO‐CO reaction could be easily formed on the surface of 0.05Ni‐Mn‐Cu/TiO2, and it indicated that the NO‐CO reaction could easily occur after Ni doping. All these factors were responsible for the better catalytic activity of Ni‐modified catalysts.
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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 | 0.001 |
| 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".