Synthesis and Characterization of Degradable Polar Hydrophobic Ionic Polyurethane Scaffolds for Vascular Tissue Engineering Applications
Bibliographic record
Abstract
In tissue engineering, the ability to manipulate scaffold design characteristics is important to achieve functional tissue regeneration. In this study, degradable polar hydrophobic ionic polyurethane (D-PHI) porous scaffolds were synthesized using a lysine-based divinyl oligomer (DVO). Optimization studies on the DVO and D-PHI scaffold synthesis were conducted to maximize isocyanate and methacrylate monomer conversion, respectively. D-PHI scaffold properties were manipulated through the introduction of a lysine-based cross-linker. Specifically, increasing D-PHI cross-linker concentration resulted in an increase of the elastic modulus (0.5-21 MPa), a decrease of the elongation-at-yield (45-5%) and a reduction of scaffold swelling (170-100%). Based on a preliminary study with A10 vascular smooth muscle cells, D-PHI scaffolds demonstrated the ability to support cell adhesion and growth during 2 weeks of culture, suggesting their potential suitability for longer term vascular tissue engineering. The versatility of the D-PHI properties may allow for the tailoring of cell-material interaction and ultimately functional tissue regeneration.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 teacher head, 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".