Functionalization of a Nano-Faujasite Zeolite with PEG-Grafted PMA Tethers Using Atom Transfer Radical Polymerization
Bibliographic record
Abstract
We report the controlled growth of poly(ethylene glycol) methyl ether grafted polymethacrylate (PEGPMA) on nanosized zeolite external surfaces using the atom transfer radical polymerization (ATRP) approach. As-synthesized amino-modified faujasite zeolite nanoparticles (40 nm) were reacted with 2-bromoisobutyryl bromide to covalently bond bromine onto the zeolitic surfaces. The bromine atoms then serve as initiators for ATRP, allowing growth of a variety of polymer tethers onto the nanozeolite surfaces. The PEGPMA polymer has a unique structure in which very flexible PEO oligomers are bonded to stiff polymethacrylate backbones. This structure makes it possible to synthesize nanohybrid materials with a fully amorphous polymer phase, a main requirement for conductivity of solid polymer electrolytes. Raman spectroscopy and 13 C solid-state NMR spectroscopy were used to characterize the as-synthesized samples. Furthermore, both Raman spectroscopy and polymer molecular weight determinations demonstrated the controlled growth of polymer chains in the ATRP synthesis. DSC experiments indicated that a fully amorphous polymer phase can be achieved by properly controlling the polymerization conditions. The morphology of the polymer phase in PEGPMA−nanoNaX composites is very stable. DSC cycling scans in the temperature range −150 to 100 °C did not induce crystallization of the amorphous polymer segments. TEM images demonstrate significant variation of the zeolite surface properties after modification with polymer tethers, indicating that very dense hybrid zeolite-based thin films or membranes could be achieved using simple solvent-cast spin-coating techniques.
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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".