Ultrasound-Responsive Block Copolymer Micelles Based on a New Amplification Mechanism
Bibliographic record
Abstract
A new approach for amplifying the effect of high-intensity focused ultrasound (HIFU) in disassembling amphiphilic block copolymer (BCP) micelles in aqueous solution was investigated. The diblock copolymer is comprised of a water-soluble poly(ethylene oxide) (PEO) block and a block of poly(2-(2-methoxyethoxy)ethyl methacrylate) (PMEO(2)MA) that is hydrophobic at temperatures above its lower critical solution temperature (LCST). We show that by introducing a small amount of HIFU-labile 2-tetrahydropyranyl methacrylate (THPMA) comonomer units into the PMEO(2)MA that forms the micelle core at T > LCST, an ultrasound irradiation of a micellar solution could induce the hydrolysis of THPMA groups. As a result, the LCST of the thermosensitive polymer increases due to the conversion of hydrophobic THPMA comonomer units onto hydrophilic methacrylic acid. Consequently, the BCP micelles disassemble without actually changing the solution temperature. In addition to the characterization results of transmittance measurements, variable-temperature (1)H NMR, SEM, and DLS, a (13)C NMR spectral analysis provided critical evidence for the hydrolysis reaction of THPMA groups under HIFU irradiation.
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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) | 0.001 | 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 | 0.001 |
| 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".