Effect of Poly(vinyl alcohol) on Catalytic Performance of Al-Pillared Clay in Alkylation of Aromatic Hydrocarbons with Olefins
Bibliographic record
Abstract
It is vital to design and synthesize efficient catalysts for removing olefins from aromatics and prolonging reaction time. The catalytic properties of pillared clay for olefin removal from aromatic compounds can be enhanced noticeably by grafting organic polymer molecules due to modification of the clay porosity in the pillaring reaction. In the present work, a series of catalysts are prepared by pillaring raw bentonite and acid-treated bentonite with aluminum and poly(vinyl alcohol) (PVA) intercalation. Prepared samples are evaluated in the olefin removal process and characterized by X-ray diffraction patterns (XRD), temperature-programmed desorption (TPD) of NH 3, and nitrogen adsorption–desorption isotherms. The BET results reveal that the pillaring reaction in an aqueous solution of PVA increases the clay’s surface area to greater than 200 m 2 .g –1 . The pore volume of alumina-pillared acid-activated clay (Al-PAAC) is enhanced from 0.278 to 0.321 and 0.416 cm 3 .g –1 at the PVA concentrations of 30 and 50 wt %, respectively. The samples modified with PVA, as a precursor in the pillaring reaction, show an enhanced catalytic activity compared to the other samples due to a higher number of active sites. The olefin conversion of the pillared sample remains above 50% in the presence of 50 wt % PVA for more than 26 h. Furthermore, PVA could facilitate the reactant’s access to the active acid sites in the interlayer of the pillared clay. The adsorption of aromatic compounds and olefins by the pillared samples follows the intraparticle diffusion kinetic model. In addition, the Langmuir model fits the adsorption isotherm data well.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".