Compositional Study of Polymer Blend PVA, Pectin, Sodium Alginate, and Gelatin Electrospun Nanofiber for Wound Dressing Application
Bibliographic record
Abstract
Electrospun nanofibers are a biomaterial effective for wound healing due to their high surface area, tunable properties, and resemblance to the extracellular matrix. Nanofibers from the mixture of polymeric materials like gelatin, sodium alginate, pectin, and polyvinyl alcohol (PVA) were investigated in this study. Pectin, sodium alginate, and gelatin are selected for their nature of being applied as tissue carriers, and they have the properties of being biocompatible and biodegradable while inducing cell proliferation. Unfortunately, these polymers have some drawbacks: most of them have poor mechanical strength or poor processing ability through electrospinning. To enhance these properties, PVA was incorporated. The result showed that an optimal blend ratio of 20% PVA, 40% pectin, 25% sodium alginate, and 15% gelatin yielded a fibrous structure with an average diameter of the fibers equal to 174.82 ± 13 nm, surface tension of 33.29 mN/m, and viscosity at 7,378 cP, which facilitated the uniform fiber formation and a porous structure for enhanced gas exchange and moisture retention, significantly aiding wound healing.
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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 | 0.006 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| 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".