Alkylation of Isobutane/1-Butene on Methyl-Modified Nafion/SBA-16 Materials
Bibliographic record
Abstract
Three-dimensional mesoporous SBA-16 silica materials were functionalized with perfluorosulfonic acidic resin Nafion using an impregnation method. The intrinsic polarity of the SBA-16 surface was tuned by grafting ethoxytrimethylsilane on its surface. Characterized by N 2 -physisorption, X-ray diffraction (XRD), and transmission electron micrographs (TEM), all the materials synthesized exhibited ordered three-dimensional Im3m mesoporous structure. Elemental analysis and water adsorption measured by an intelligent gravimetric analyzer (IGA) showed that trimethylsilane is grafted on the surface by capping the −OHs which enhance the hydrophobicity of SBA-16. Elemental analysis and potentiometric titration showed that Nafion resin was incorporated, revealing a three-dimensional mesoporous strong solid acid with a hydrophobic surface. The catalytic alkylation of isobutane/1-butene was thereafter evaluated on each material under specified conditions and compared with the one-dimensional Nafion/SBA-15 and commercial Nafion silica nanocomposite SAC-13. The catalyst with three-dimensional mesoporous channels was shown to outperform the one with one-dimensional channels. The higher activity of Nafion over methyl modified SBA-16 materials is related to the more hydrophobic surface of support.
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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) | 0.001 | 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".