Amphiphilic TEMPO-Functionalized Block Copolymers: Synthesis, Self-Assembly and Redox-Responsive Disassembly Behavior, and Potential Application in Triggered Drug Delivery
Bibliographic record
Abstract
A novel range of amphiphilic redox-responsive 2,2,6,6-tetramethylpiperidine-1-oxyl (TEMPO)-functionalized diblock copolymers poly(ethylene glycol)- b -poly(2,2,6,6-tetramethylpiperidine-1-oxyl-4-yl methacrylate- co - N -isopropylacrylamide [PEG- b -P(TMA- co -NIPAM)] have been synthesized in this work via reversible addition–fragmentation chain transfer (RAFT) polymerization followed with functionality transformation. With the possession of the hydrophilic PEG block and the hydrophobic TEMPO-containing block, these amphiphilic diblock polymers can conveniently self-assemble to form stable uniformly sized radical-containing nanoparticles (RNPs), which can thus act as nanovessels to carry drugs. More interestingly, the self-assembled RNPs exhibit the unique reduction-responsive disassembly upon addition of vitamin C (VC) as a representative reducing agent due to the drastic drop in the surface hydrophobicity following reduction of the TEMPO units. In the proof-of-concept experiments, the VC-triggered release of the encapsulated R6G dye as the model payload from the RNPs at controllable rates has been successfully demonstrated. Meanwhile, the cytotoxicity study with CCK-8 assay confirms the TEMPO-containing block copolymers and their reduced ones are nontoxic at a concentration up to 500 μg mL –1 . This series of amphiphilic diblock copolymers is thus highly promising for potential application in triggered drug delivery.
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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".