Effect of Polyurethane Structure on the Physicochemical, Mechanical, and Biological Properties on their Copper Complexes Composites
Bibliographic record
Abstract
Polyurethanes and their composites are versatile materials widely used in numerous medical applications. However, limited information is available regarding their copper composites. Copper is a trace element in the human body that functions as an enzyme cofactor in both normal and pathological angiogenesis, as well as in muscle and brain formation. Considering this, copper complexes of D-penicillamine (DP), L-cysteine (LC), and dopamine (DOP) were incorporated into segmented polyurethanes (SPU) synthesized with either a semi-crystalline (poly-ε-caprolactone, PCL) or an amorphous (polytetramethylene ether glycol, PTMEG) soft segment. FTIR and Raman revealed new absorptions and peak shifts, confirming the presence of the complexes within the matrix of all composites. XPS further corroborated the presence of copper and sulfur. The crystallinity of the PCL-based polyurethanes was influenced by the addition of the filler, as observed through DSC and DRX. Furthermore, TGA analysis indicated the emergence of new decomposition temperatures following the incorporation of copper complexes. In general, no significant reduction in Young's modulus was observed, except for certain composites containing DPENCUII as filler, which exhibited a slight increase compared to pristine SPU´s. Finally, the composites demonstrated neither hemolytic nor procoagulating behavior (hemolysis < 5% and BCI > 20), although they exhibited some degree of impairment in cytocompatibility compared to their respective pristine SPUs. Collectively, these findings suggest that some composites possess promising properties for potential cardiovascular applications.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".