Photothermal-Enhanced Anti-SO<sub>2</sub> Performance of a MoWO<sub><i>x</i></sub>/CeO<sub>2</sub> Catalyst in Low-Temperature NH<sub>3</sub>-SCR
Bibliographic record
Abstract
Cerium-based catalysts for the selective catalytic reduction of NO x with ammonia (NH 3 -SCR) face significant challenges in practical applications, particularly their poor low-temperature activity and susceptibility to SO 2 poisoning. In this study, photothermal catalysis was innovatively applied to the NH 3 -SCR reaction over MoWO x /CeO 2 catalysts, achieving remarkable improvements in the low-temperature performance and SO 2 resistance. Under photothermal conditions, the catalyst maintained NO x conversion above 90% at 200 °C, even in the presence of 250 ppm of SO 2 . Comprehensive characterization revealed that light irradiation significantly enhanced the formation of oxygen vacancies on the catalyst surface and weakened NO adsorption, indicating that the NH 3 -SCR reaction follows the Eley–Rideal mechanism, which contributes to its excellent low-temperature activity. Moreover, photothermal conditions reduced the chemical adsorption intensity of SO 2, effectively inhibiting the formation of ammonium sulfate. Density functional theory calculations further demonstrated that the narrow band gap of MoWO x promotes electron transfer from the O 2p orbital to the Ce 4f orbital at the Ce–O–Mo(W) interface under light, leading to electron enrichment at active sites and suppression of SO 2 oxidation. This work not only provides a novel strategy for enhancing the NH 3 -SCR performance but also represents a groundbreaking advancement in the design of highly efficient, SO 2 -resistant catalysts for low-temperature applications.
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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".