Liquid-Phase Synthesis of Isoprene from Methyl <i>tert</i>-Butyl Ether and Formalin Using Keggin-Type Heteropolyacids
Bibliographic record
Abstract
A liquid-phase single-stage synthesis of isoprene from methyl tert -butyl ether (MTBE) and formalin using Keggin-type heteropolyacids, phosphotungstic acid (PTA), phosphomolybdic acid (PMA), and silicotungstic acid (STA) was performed in a batch reactor. The effects of catalyst concentration, reaction temperature, MTBE/formaldehyde ratio, and solvent type on isoprene yield were evaluated. At moderate reaction conditions, the two-phase organic–aqueous system with cyclohexane addition and high MTBE/formaldehyde ratio enhanced the isoprene formation. When the catalyst concentration was increased, the formaldehyde conversion and turnover frequency increased, but isoprene selectivity slightly decreased. At high temperature or low MTBE/formaldehyde ratio, isoprene yield decreased because of the formation of 3,4-dihydro-4-methyl-2H-pyran. When the catalyst activities are compared, the STA catalyst exhibited formaldehyde conversion, isoprene yield, and selectivity that were slightly higher than those of the PTA and PMA catalysts. Among the Prins reaction products formed, 4,4-dimethyl-1,3-dioxane was the key precursor of isoprene formation in the two-phase reaction system.
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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) | 0.001 | 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".