Preparation of Pt‐B/Al<sub>2</sub>O<sub>3</sub> amorphous alloy catalysts via microemulsion methods and application into hydrogenation of <i>m</i>‐chloronitrobenzene
Bibliographic record
Abstract
Abstract Pt‐B/Al2O3 catalysts were prepared through chemical reduction of platinum ions with borohydride in a water/oil (W/O) microemulsion system comprising cetyltrimethyl ammonium bromide (CTAB), n‐butanol, cyclohexane, and H2PtCl6 solution. Transmission electron microscope (TEM) and selected‐area electron diffraction (SAED) analyses show that the active Pt particles on the catalysts are uniformly distributed as a Pt‐B amorphous alloy. We studied the effects of microemulsion composition, reduction conditions, and preparation methods on the catalysts applied into m‐chloronitrobenzene (m‐CNB) hydrogenation. We also investigated the kinetics of m‐CNB hydrogenation. The catalyst prepared via a single‐microemulsion method exhibited much higher activity and even higher selectivity than that prepared with the aqueous solution method. Finally, we propose the mechanism for Pt‐B effects on the catalytic performance of Pt‐B/Al2O3 in m‐CNB hydrogenation.
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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".