Synthesis and cellular compatibility of multi-block biodegradable poly(ε-caprolactone)-based polyurethanes
Bibliographic record
Abstract
A library of block copolymers was synthesized by varying the molecular weight of the poly(ε-caprolactone) (PCL)-diol soft segment (Mw = 850, 3050, 3700 or 7000), which was reacted with methylene diphenyl diisocyanate (MDI), 1,4-phenylene diisocyanate (PDI), 1,1′-methylenebis(4-isocyanatocyclohexane) (HMDI), or 2,4-toluene diisocyanate (TDI) with 1,4-butanediol (BD) or ethylene glycol (EG) added as chain extenders. Thermal and X-ray measurements indicated that the crystalline structure of the copolymers was largely dependent on the chain length of the PCL-diol, with no crystallization taking place with the smallest diol (Mw = 850) using MDI, TDI or HMDI. However, the copolymers produced from a PCL-diol (Mw = 850) and PDI and chain extenders (BD or EG) showed resolved crystalline peaks while no peaks appeared with other diisocyanates. Hydrolytic degradation studies demonstrated a faster degradation rate in the case of more amorphous copolymers than semi-crystalline copolymers. The cellular compatibility of the copolymers was evaluated by fabricating the entire library of polymers in a microarray format and in vitro cell culture, demonstrating that all the 57 copolymers supported cellular attachment and growth.
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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 | 0.000 |
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".