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 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 | 0.000 | 0.000 |
| 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 | 0.000 |
| 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 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".