Synthesis of water‐soluble cationic polymers with star‐like structure based on cyclodextrin core via ATRP
Bibliographic record
Abstract
Abstract A range of novel cationic star‐like polymers (Star‐P(MeDMA)s) were synthesized through atom transfer radical polymerization (ATRP) by core‐first method, using a β‐cyclodextrin initiator with 21 initiation sites (21Br‐β‐CD). Methyl chloride‐quaternized 2‐(dimethylamino)ethyl methacrylate (MeDMA) was polymerized in an aqueous medium using 21Br‐β‐CD, Cu(I)Br, and 2,2′‐dipyridyl as an initiator, catalyst, and ligand, respectively. The effects of polymerization temperature and monomer/initiator ratios on the degree and kinetics of polymerization were investigated. The molecular weights, hydrodynamic sizes, and charge densities of the quaternized polymers were characterized using gel permeation chromatography (GPC), dynamic light scattering (DLS), and colloidal titration, respectively. The results demonstrated that the moderate aqueous solubility of the 21Br‐β‐CD initiator had significant impact on the physicochemical properties of the obtained star polymers. The polymerization of 500/1/2/5 ([M]0/[I]0/[Cu(I)0/[L]0]) at 90 °C for 6 h was found to be the best condition to synthesize the proposed cationic star polymer with well‐defined structures in aqueous medium. The nonlinear relationship between the apparent charge density and the particle size of the cationic star polymers was further revealed by GPC and DLS measurements. © 2005 Wiley Periodicals, Inc. J Polym Sci Part A: Polym Chem 43: 6345–6354, 2005
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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".