Multifunctional chitosan/carbon dots/sodium alginate/zinc oxide double-layer sponge hydrogel with high antibacterial, mechanical and hemostatic properties
Bibliographic record
Abstract
Due to the fact that bacterial contamination of wounds is the cause of increased morbidity and mortality today, various antimicrobial wound dressings are developing to prevent wound contamination. In addition, an ideal wound dressing should have proper mechanical and hemostatic properties to maintain wound healing conditions. Here, a double-layer sponge hydrogel nanocomposite wound dressing was designed and manufactured by combining zinc oxide nanoparticles (ZnONPs) with different concentrations in the hydrogel layer and green carbon dots in the sponge layer. The surface morphology of two layers was investigated using a scanning electron microscope. X-ray diffraction proved the presence of ZnONPs. Physical tests showed a decrease in water absorption and water vapor transmission rate and an increase in blood absorption in the presence of ZnO. The sponge layer showed suitable absorption support in the presence of carbon dots. By combining nanoparticles in both layers, the mechanical properties were greatly enhanced. The sponge hydrogel with the highest concentration of ZnO showed excellent inhibition of 41 mm against Pseudomonas aeruginosa bacteria and 25 mm of inhibition against Staphylococcus aureus. Finally, in vitro blood clotting and animal tests confirmed the increase in the hemostatic power of the sponge hydrogel with the maximum concentration of ZnO.
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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 | 0.000 | 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 | 0.000 | 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".