Polydopamine-modified interface improves the immobilization of natural bioactive-dye onto textile and enhances antifungal activity
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
Dermatomycosis, such as candidiasis and mycosis among others, has emerged recently as the most frequent fungal infection worldwide. This disease is due to the skin's exposure to microorganisms that are able to pass through skin barrier defects. Therefore, textiles in direct contact with skin can serve as a source of contamination and fungus spread. In the current study, a sustainable and eco-friendly method for antifungal cotton finishing using Curcuma longa L extracted from rhizomes was investigated. To enhance the natural bioactive dye uptake and attachment, cellulosic cotton fibers were chemically modified using dopamine, a biocompatible molecule, leading to the deposition of a hydrophilic layer of polydopamine. The efficiency of the polydopamine coating on the cotton surface has been assessed by x-ray photoemission spectroscopy analyses, with the detection of nitrogen, and by water contact angle for the wettability enhancement. Furthermore, characterization of the modified samples confirms that the modification did not affect either the cellulosic fiber morphology or the mechanical properties. The dyeability and bioactive dye immobilization were then assessed by colorimetry. Finally, the effectiveness of the finished fabrics against Trichophyton (rubrum/mentagrophytes) and Candida albicans strains was evaluated and was shown to induce growth inhibition mainly on Candida albicans strains.
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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 | 0.000 | 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 it