Mechanobiological enhancement of electrospun PCL/nHA membranes for guided tissue regeneration applications
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This study aims to investigate the effects of adding nano-hydroxyapatite (nHA) to electrospun polycaprolactone (PCL) membranes for use in dental root regeneration. Porous membranes containing varying amounts of nHA (0, 1, 1.5, and 2.5 wt%) were fabricated using the electrospinning method. The physicochemical, mechanical, and biological properties of the membranes were evaluated. The synthesized nHA particles had an average size of 52 nm. Electrospun membranes exhibited uniform fibrous morphology with porosities ranging from 56% to 86%. Cyclic thermal stress (5°C–50°C) improved the mechanical properties of the composite membranes, resulting in a decrease in ultimate tensile strength (UTS) for pristine PCL from 3 ± 0.12 MPa to 1.7 ± 0.11 MPa, while the UTS for PCL membranes containing 1.5% nHA increased from 3.3 ± 0.30 MPa to 4.18 ± 0.28 MPa. In vitro bioactivity in simulated body fluid (SBF) showed enhanced apatite formation, particularly after 21 and 28 days. Cytotoxicity assays with MG-63 osteoblast-like cells demonstrated good biological performance. The incorporation of nHA not only improved the mechanical properties but also enhanced the bioactivity and cytocompatibility of the electrospun PCL membranes, making them promising candidates for guided tissue regeneration (GTR) applications.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| 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 it