Bioaktywne powłoki przeciwdrobnoustrojowe na wyrobach medycznych do implantacji nałożone przez plazmowe utlenianie elektrolityczne
Bibliographic record
Abstract
In the present study, a novel TiO2-based coating containing nanosized hydroxyapatite (n-HA) and Silver particles has been formed on commercially available Ti-6Al-4V (Grade 5) and Ti-pure (Grade 2) alloy substrates by the Plasma Electrolytic Oxidation (PEO) technique. The coating deposition were provided in an aqueous solution of disodium hydrogen phosphate containing suspended hydroxyapatite nanoparticles and potassium hydroxide under a pulsed bipolar current mode with controlled duty cycle. Inclusion of antimicrobial silver particles were possible from a separate technological operation in AgNO3 aqueous solution by the principle of photocatalysis at TiO2 surface under ultraviolet treatment. The surface morphology of the formed coatings has been examined by Scanning Electron Microscopy (SEM), while the element composition of the coatings has been determined by Energy Dispersive X-ray analysis (EDS). The presence of HA nanoparticles within the formed coatings has been analyzed by Fourier Transform Infrared Spectroscopy (FTIR). The results indicate that the formed PEO coatings exhibit a porous network structure with embedded n-HA and Ag particles uniformly distributed over the entire surface of the coatings. The PEO-formed TiO2:n-HA:Ag layers can be used as a bioactive biomimetic coating with antimicrobial properties to enhance surface bioactivity, osseointegration and biochemical stability in implantable medical devices.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".