Functionalization of Mesoporous Si-MCM-41 by Grafting with Trimethylchlorosilane
Bibliographic record
Abstract
The production of functionalized mesoporous silicas has attracted great attention in the last years. In particular, the uses of organosilanes, as modification agents, has been largely studied due mainly to the increasing requirements deriving from the area of polymer nanocomposites, treatments of heavy metal contaminants, heterogeneous catalysis and also in components of active corrosion protection coatings. In this study, organosilane-modified mesoporous were prepared and investigated by various physico-chemical techniques, including X-ray powder diffractometry (XRD), Fourier transform infrared spectroscopy (FTIR), 13C CP/MAS NMR and Thermalgravimetry (TGA). The organically modified mesoporous derived from the reaction of mesoporous Si-MCM-41 with trimethylchlorosilane have been considered. The results indicated that the surface modification did not modify the original structure of Si-MCM-41 but altered their original hydrophilic nature to hydrophobic. Herein, we demonstrate the possibility of modify and functionalize surface of MCM-41, enabling applications in many fields as nanocomposites, drug releasing agents and components of active coatings.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".