The effect of self-assembly conditions on the size of di- and tri-block copolymer micelles: solicitation from response surface methodology
Bibliographic record
Abstract
The objective of this study was to assess the application of Response Surface Methodology in defining the effect of self-assembly condition on the average diameter of polymeric micelles. Di- and tri-block copolymers of poly(ethylene oxide)-b-poly(α-benzylcarboxylate-ε-caprolactone) (PEO-PBCL) and PBCL-b-poly(ethylene glycol)-b-PBCL (PBCL-PEG-PBCL) were synthesized through ring opening polymerization of α-benzyl-ɛ-carboxylate using MePEO or dihydroxy PEG as initiator, respectively. Polymeric micelles were formed through solubilization of block copolymers in acetone followed by drop-wise addition of this solution to water. Polymer concentration was changed and the intensity mean diameter of self-assembled structures was measured by dynamic light scattering. The experimental data were fitted to a mathematical model. The experimental conditions leading to the production of micelles of certain size (30, 60 or 90 nm for tri-block and 30 nm for di-block copolymers) was predicted. A good match between predicted and experimental data was observed. The results showed it would be possible to obtain micelles of certain size using block copolymers of different molecular weights or obtain micelles of different size at a given block copolymer molecular weight, by manipulating the polymer concentration. These observations show reproducible micelles of defined average diameter can be prepared by co-solvent evaporation by controlling the used polymer concentration.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 | 0.001 |
| 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".