Organometallic‐polypeptide Block Copolymers: Synthesis and Crystallization‐driven Self‐assembly in Aqueous Solutions to Rod‐like and Plate‐like Micelles with Polypeptide Coronas
Bibliographic record
Abstract
The synthesis of polyferrocenyldimethylsilane-b-poly(L-glutamic acid) block copolymers was systematically explored. Rod-like and plate-like micelles were prepared from self-assembly of the block copolymers in aqueous solution with two different approaches. In a dissolution-dialysis approach, micelles were prepared by dissolving a block copolymer sample in excess aqueous base followed by the dialysis of the solution against water. The morphology of the resultant micelles showed composition dependence. The block copolymer sample with the lowest soluble block content formed rod-like micelles, while the other samples with higher soluble block content formed spherical micelles. In a THF-mediated approach, THF was added into a block copolymer solution, which was first prepared by the dissolution-dialysis approach, and then the THF was evaporated slowly. Plate-like micelles were obtained from all the block copolymer samples examined, and these had a broad range of soluble block content. The formation of these plate-like micelles was attributed to the crystallization of the PFDMS blocks in the presence of THF. A tendency of large platelet micelles evolving to thin filaments over time was observed. This change may have been driven by the increase in the corona-chain stretching energy as THF evaporated.
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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) | 0.000 | 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".