CO<sub>2</sub>-triggered fast micellization of a liposoluble star copolymer in water
Bibliographic record
Abstract
This study reports a green and efficient strategy using CO2 to trigger fast micellization of a liposoluble star copolymer in water. The star copolymers consisting of a hyperbranched polyethylene (HBPE) core and multiple poly(2-(dimethylamino)ethyl methacrylate) (PDMAEMA) arms were synthesized through a sequential Pd-catalyzed chain walking copolymerization of ethylene and 2-(2-bromoisobutyryloxy)ethyl acrylate followed by an atom-transfer radical polymerization of DMAEMA. The star copolymers with large HBPE cores and low PDMAEMA arm numbers or short arms can be easily dissolved in aliphatic hydrocarbon solvents. The copolymers could be quickly dispersed in water and form micelles after CO2 bubbling. A N2-mediated switching process following the CO2 treatment is shown to reverse the micelles back to their neutral state without causing additional micelle aggregation. The CO2 switchability of PDMAEMA prompted fast micellization of such liposoluble star copolymers. This article contains supporting information that will be made available online once the issue is published.
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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".