Clay−Polymer Nanocomposite Material from the Delamination of Kaolinite in the Presence of Sodium Polyacrylate
Bibliographic record
Abstract
A chemical route for the delamination of kaolinite in a polymeric matrix is reported in this work. The strategy that was used is based on mixing polyelectrolytes of opposite charges, an organic polyanion, polyacrylate, with an inorganic polycation resulting from the modification of the internal surfaces of kaolinite. The delamination was carried out by the reaction of sodium polyacrylate (PANa) with kaolinite whose internal aluminol surfaces were previously grafted with triethanolamine and subsequently quaternized with iodomethane (TOIM-K) to form an extended lamellar inorganic polycation. X-ray diffraction as well as scanning electron microscopy (SEM) confirmed the complete delamination of the kaolinite particles. 13C CP/MAS NMR showed the removal of the ammonium groups resulting from hydrolysis of the internal surfaces once exposed, and 29Si CP/MAS NMR spectra were in agreement with the retention of the 1:1 aluminosilicate kaolinite layers structures. From the thermogravimetry (TG) data, the respective percentages in mass of PA and kaolinite in the delaminated nanocomposite could be estimated to be 61% and 39%, respectively, in the conditions of the particular experiment. The procedure was repeated several times to show the reproducibility of the delamination. The interlayer functionalization of kaolinite was crucial for the success of the delamination procedure. SEM pictures show that some individual kaolinite platelets fold and form curved structures.
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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 | 0.001 |
| 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".