pH-Sensitive Unimolecular Polymeric Micelles: Synthesis of a Novel Drug Carrier
Bibliographic record
Abstract
Novel amphiphilic star-shaped polymers showing pH-sensitivity were synthesized by atom transfer radical polymerization. These new polymers present a core-shell structure similar to polymeric micelles, but are inherently stable to dilution and are referred to as unimolecular polymeric micelles. A four-armed multifunctional initiator was used for the sequential polymerization of hydrophobic ethyl methacrylate and tert-butyl methacrylate and hydrophilic poly(ethylene glycol)methacrylate. Polymers of molecular weight ranging from 9000 to 20,000 were obtained. Results of dynamic light scattering showed micelle size ranging from 11 to 40 nm. Unimolecular micelles were also analyzed by static light scattering in aqueous environment. Star-shaped polymers which presented the highest molar ratio of hydrophobic monomers tended to form high molecular weight aggregates in water. Hydrolysis of the tert-butyl methacrylate units permitted the introduction of ionizable methacrylic acid functions. Size distributions were bimodal at both acidic and basic pH. Since, the polymers were designed as potential delivery systems for the oral administration of hydrophobic drugs, they were titrated to evaluate the degree of ionization as a function of pH. In the stomach, the carboxylic functions are expected to be fully protonated. However, in the intestine, the micelles will be more than 40% ionized. Fluorescence studies were conducted in order to evaluate the polarity of the micellar core. Results showed an increase in polarity with pH due to the ionization of the acid functions present along the polymer chains. The pH rise was associated with an increase in the in vitro release rate of progesterone, which was used as hydrophobic drug model.
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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 | 0.001 |
| 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".