RAFT Synthesis of a Thermally Responsive ABC Triblock Copolymer Incorporating <i>N</i>-Acryloxysuccinimide for Facile in Situ Formation of Shell Cross-Linked Micelles in Aqueous Media
Bibliographic record
Abstract
A poly(ethylene oxide) (PEO)-based macromolecular chain transfer agent (macro-CTA) was employed to demonstrate the controlled polymerization of N, N -dimethylacrylamide (DMA) in anhydrous 1,4-dioxane at 70 °C using reversible addition−fragmentation chain transfer polymerization. This macro-CTA was then used to mediate the statistical copolymerization of DMA and the reactive monomer N -acryloxysuccinimide (NAS), forming a diblock copolymer of PEO- b -(DMA- s -NAS). Subsequent chain extension with N -isopropylacrylamide (NIPAM) yielded a PEO- b -(DMA- s -NAS)- b -NIPAM thermally responsive triblock copolymer. In aqueous solution at room temperature the triblock copolymer chains exist as unimers but form micelles when the solution temperature is raised above the lower critical solution temperature (LCST) of the NIPAM block. The hydrodynamic dimensions and micellization temperatures depend on the length of the NIPAM block. Incorporation of the NAS units into the triblock copolymer allows for facile formation of uniform shell cross-linked micelles by reaction with difunctional primary amines in aqueous media. These shell cross-linked micelles swell when the solution temperature is lower than the LCST of the NIPAM block.
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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) | 0.002 | 0.001 |
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".