Potential use of antibiotic-loaded polycaprolactone electrospun nanofibers to prevent implant related infections
Bibliographic record
Abstract
Covering the surface of a bone implant with electrospun micro/nanofibers can substantially improve its biocompatibility.Since these fibers are usually made of a biodegradable polymer, if they are loaded with a drug, the release rate can be easily controlled.Therefore, loading the fibers with an antimicrobial drug will allow the slow release of the drug during the healing period and can prevent implant-related infections.In this paper, the effectiveness of polycaprolactone (PCL) fibers loaded with ampicillin and silver nanospheres against Escherichia coli growth is described.The results revealed that ampicillin-loaded fibers displayed significant antibacterial activity whereas fibers containing silver nanospheres did not show any activity, possibly due to the low concentration of silver used in this study.Additionally, the release rate of ampicillin was examined and the fibers were able to maintain the ampicillin for a significantly longer time compared to when the sample was simply soaked in an ampicillin solution.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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 source (direct Gemma or distilled Codex), 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".