Multistep Thermosensitivity of Poly(<i>N</i>-<i>n</i>-propylacrylamide)-<i>block</i>-poly(<i>N</i>-isopropylacrylamide)-<i>block</i>-poly(<i>N</i>,<i>N</i>-ethylmethylacrylamide) Triblock Terpolymers in Aqueous Solutions As Studied by Static and Dynamic Light Scattering
Bibliographic record
Abstract
Poly( N - n -propylacrylamide)- block -poly( N -isopropylacrylamide)- block -poly( N, N -ethylmethylacrylamide) (PnPA- b -PiPA- b -PEMA) triblock terpolymers of low polydispersity have been synthesized by reversible addition-fragmentation chain transfer (RAFT) polymerization via sequential monomer addition. The temperature-induced formation and dissociation of terpolymer micelles in aqueous solutions in a heating−cooling cycle were investigated by a combination of static and dynamic laser light scattering. In the heating process, the folding of PnPA at ca. 25 °C led to the formation of polymeric micelles with a collapsed hydrophobic PnPA core and a hydrophilic swollen PiPA−PEMA shell. Further increase of the temperature to ca. 32 and 53 °C led to the successive dehydration of PiPA and PEMA on the periphery, respectively. Our results revealed that when PEMA on the periphery of the micelle is too short to stabilize the hydrophobic core, individual micelles tend to aggregate into large micellar clusters, corresponding to the intrachain contraction and interchain association of the PiPA chains. In the cooling process, the complete dissolution temperature was lower than the association temperature in the heating process. At a given temperature, the aggregates in the cooling process had a higher mass than those in the heating process, clearly indicating a hysteresis.
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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".