Thermodynamic Size Control of Block Copolymer Vesicles in Solution
Bibliographic record
Abstract
Poly(styrene)- b -poly(acrylic acid) (PS- b -PAA) diblock copolymer vesicles are thermodynamically stable in solutions of dioxane/THF/H 2 O or DMF/THF/H 2 O. The vesicle sizes can be changed reversibly by changing the solvent composition, especially the water content. The size change with water content is primarily driven by the interfacial energy contribution to the free energy, such that with increasing water content, as the interfacial energy increases, the system minimizes the total interfacial area by increasing vesicle sizes. For low vesicle sizes, the interfacial area is relatively strongly size-dependent, which also induces a narrow size distribution. By contrast, for large vesicle sizes, the interfacial area is very weakly size-dependent, and a wide size distribution is observed. In a previous study, it had been shown that the segregation of hydrophilic PAA blocks is responsible for the thermodynamic stabilization of vesicles, with the long PAA chains preferentially segregated to the outside, and the short chains to the inside. In the present study, fluorescence quenching experiments have shown that this segregation is size dependent. The larger the vesicles, the lower the degree of segregation becomes. Furthermore, the extent of segregation is reversible with changing vesicles size. In addition, the mechanism of reequilibration of vesicles is explored, and is shown to involve fusion and fission. During these processes, the PAA block chains can diffuse through a PS wall so that a corona chain segregation equilibrium can be reestablished.
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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".