Rodlike Block Copolymer Micelles of Controlled Length in Water Designed for Biomedical Applications
Bibliographic record
Abstract
There is a broad interest in elongated colloids as drug delivery vehicles, and current research aims to address how their length and aspect ratio affect interactions with cells. Block copolymer (BCP) micelles offer the opportunity to vary micelle length while maintaining cross-sectional width with corona chains that maintain a common surface chemistry across these structures. However, most elongated BCP micelles used in cell studies are characterized by a very broad length distribution. Here, we describe the synthesis and self-assembly properties of a diblock copolymer with a polyferrocenylsilane core-forming block and a corona block consisting of a statistical polymer of (aminopropyl)methacrylamide and oligo(ethylene glycol methacrylate) ( M = 500) (PFS 27 - b -PAPMA 3 - stat -OEGMA 48 ). Self-assembly in water gave a mixture of structures including rodlike micelles. In alcohols, different types of structures were obtained depending on the alcohol employed (butanol, 2-propanol, ethanol, and methanol). In ethanol, the polymer formed long micelles of uniform width by crystallization-driven self-assembly. Following sonication, a series of rodlike micelles with different lengths (80 to 2000 nm) and narrow length distributions ( L w / L n < 1.10) were generated by seeded growth. These micelles could be transferred to aqueous media and maintained colloidally stable in PBS (phosphate-buffered saline) buffer for more than three months. In these micelles, the POEGMA brush provides a “stealth” coating to minimize the interaction with proteins and cells, and the APMA groups provide functionality for attachment of drugs or metal chelators for potential therapeutic applications. Studies in two human breast cancer cell lines (MDA-MB-231 and MDA-MB-436) show no signs of toxicity for micelle concentrations up to 0.1 mg·mL –1 . We also show that metal chelators can be covalently attached to the amino groups in the corona and labeled with heavy metals, opening the door to future experiments with radionuclides.
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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 | 0.001 |
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".