Compostable lignin grafted poly(ε-caprolactone) polyurethane biomedical materials: Shape memory, foaming capabilities, and biocompatibility
Bibliographic record
Abstract
Biodegradable shape memory poly(e-caprolactone) (PCL)-based polyurethane (PU) have garnered substantial attention in biomedical applications, due to their unique properties that can recover their original shapes when exposed to temperature stimulus close to body temperature (∼35 °C). This study entails an in situ one-pot synthesis of a compostable shape memory PU system that uses PCL as soft chain segments, 1,4-butanediol (BDO) and glycerol (GLY) as chain extenders, which was then grafted with lignin hard segment and/or crosslinking nodes. The addition of renewable and sustainable lignin not only enhanced the mechanical properties of the PU, but also improved the resulting shape memory effects by increasing the shape fixing and recovery ratio. In PCL system containing BDO (PCL-BDO), 5 wt% lignin loading yields shape fixity and shape recovery ratios of 93.2 % and 81.4 %, respectively. Similarly, 5 wt% lignin in PCL systems containing GLY (PCL-GLY exhibited high shape fixity (64.4 %) and shape recovery ratio (81.4 %), respectively. Rheological characterizations showed strong evidence that the melt strength of both the PCL-BDO and PCL-GLY increased with the presence of lignin, which directly improved the physical foaming capabilities of PCL-based PU. The biocompatibility assessment also showed that the developed shape memory PCL-lignin based PU were not cytotoxic and capable of supporting cell adhesion and cell growth.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".