Indirect Cytotoxicity Evaluation of Silver Doped Bioglass Ag-S70C30 on Human Primary Keratinocytes
Bibliographic record
Abstract
Bioactive gel-glasses, such as the silver-doped Ag-S70C30 glass, can be used to modify the inflammatory response in a local body compartment such as in acne lesions and in nonhealing dermal wounds. In this study, the cytotoxicity of soluble silver, calcium and silica ions on human epidermal keratinocytes was investigated by measurements of mitochondrial activity (MTT assay) and neutral red dye uptake (NR assay). Ag-S70C30 extracts were prepared by soaking glass powder in complete culture medium at concentrations of 1 mg/ml and 2 mg/ml (mg of glass powder per ml of culture medium). Silver concentrations for both concentrations of approximately 1 ppm were detected by inductive coupled plasma analysis (ICP). No negative effect on the cell viability was measured for an initial gel-glass concentration of 1 mg/ml and for the two shortest extraction times at a concentration of 2 mg/ml. Based on the results from MTT/ NR assays, a pH rise of approximately one unit had no negative effect on the NHEK-A cell viability. This preliminary study on keratinocyte viability merits future investigations on silver bioglass as a novel antimicrobial wound healing agent.
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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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".