Selective hydrogenation of methyl benzoate to benzaldehyde over a manganese‐based catalyst with weak acidity centres
Bibliographic record
Abstract
Abstract Benzaldehyde is a prominent product resulting from the catalytic hydrogenation of methyl benzoate, which is commonly utilized as a key intermediate in the chemical industry. In this work, Mn/Al 2 O 3 catalysts with different loading contents were synthesized through the equal volume impregnation method. A systematic investigation of the selective hydrogenation of methyl benzoate was conducted to delve into the influence of loading capacity and support type. The optimized catalyst demonstrated outstanding catalytic performance, achieving a conversion rate of 97.2% and a benzaldehyde selectivity of 77.2% under the reaction conditions of 430°C, atmospheric pressure, a hydrogen and methyl benzoate molar ratio of 36:1, and a GHSV of 0.2 h −1 . The reaction mechanism of methyl benzoate to benzaldehyde was investigated by NH 3 ‐TPD and EPR experiments. The findings indicated that the abundant weak acidity of Al 2 O 3 in the Mn/Al 2 O 3 catalyst facilitated reactant adsorption, while an appropriate level of oxygen vacancy in the active centre MnO significantly enhanced benzaldehyde selectivity.
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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".