Modified Poly(ε-caprolactone) with Tunable Degradability and Improved Biofunctionality for Regenerative Medicine
Bibliographic record
Abstract
The use of poly(ε-caprolactone) (PCL) for biomedical applications is well established, particularly for permanent implants, due to its slow degradation rate, suitable mechanical properties, and biocompatibility. However, the slow degradation rate of PCL limits its application for short-term and temporary biomedical applications where bioabsorbability is required. To enhance the properties of PCL and to expand its biomedical applications, we developed an approach to produce PCL membranes with tunable degradation rates, mechanical properties, and biofunctional features. Specifically, we utilized electrospinning to create fibrous PCL membranes, which were then chemically modified using potassium permanganate to alter their degradability while having minimal impact on their fibrous morphology. The effects of the chemical treatments were investigated by treating the samples for different time periods ranging from 6 to 48 h. After the 48 h treatment, the membrane degraded by losing 25% of its mass over 12 weeks in degradation studies, while maintaining its mechanical strength and exhibiting superior biofunctional features. Our results suggest that this approach for developing PCL with tailored properties could have significant potential for a range of biomedical 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 | 0.001 | 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 | 0.001 |
| 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".