Catalytic synthesis of acetals and ketals with H3PW12O40PAn
Why this work is in the frame
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Bibliographic record
Abstract
A new environmental friendly catalyst H3PW12O40/PAn was prepared and identified by means of FT-IR, XRD, and TG/DTA. The optimum conditions have been found; that is, the mass ratio of PAn to H3PW12O40 is 1:1.5, the volume of methanol is 20 mL, and the reflux reaction time is 3 h. The structural identity of Keggin units is preserved after the incorporation into polyaniline matrix. Catalytic activities of H3PW12O40/PAn in synthesizing 2-methyl-2-ethoxycarbonylmethyl-1,3-dioxolane,2,4-dirnethyl-2-ethoxycarbonylmethyl-1,3-dioxolane, cyclohexanone ethylene ketal, cyclohexanone 1,2-propanediol ketal, butanone ethylene ketal, butanone 1,2-propanediol ketal, 2-phenyl-1,3-dioxolane, 4-methyl-2-phenyl-1,3-dioxolane, 2-propyl-1,3-dioxolane, and 4-methyl-2-propyl-1,3-dioxolane were reported. It has been demonstrated that H3PW12O40/PAn is an excellent catalyst. Various factors concerned in these reactions were investigated. The optimum conditions are as follows: the molar ratio of aldehyde/ketone to glycol (r) is 1:1.5, the mass ratio of the catalyst used to the reactants is 0.6%, and the reaction time is 1.0 h. Under these conditions, the yield is as follows: 2-methyl-2-ethoxycarbonylmethyl-1,3-dioxolane, 69.0%; 2,4-dimethyl-2-ethoxycarbonylmethyl-1,3-dioxolane, 79.5%; cyclohexanone ethylene ketal, 78.9%; cyclohexanone 1,2-propanediol ketal, 85.3%; butanone ethylene ketal, 56.9%; butanone 1,2-propanediol ketal, 78.1%; 2-phenyl-1,3-dioxolane, 76.3%; 4-methyl-2-phenyl-1,3-dioxolane, 94.2%; 2-propyl-1,3-dioxolane, 70.7%; and 4-methyl-2-propyl-1,3-dioxolane, 79.2%.
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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) | 0.001 | 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 it