ELECTRODEPOSITION OF NANOCOMPOSITE ORGANIC–INORGANIC COATINGS FOR BIOMEDICAL APPLICATIONS
Bibliographic record
Abstract
New method has been developed for the fabrication of nanocomposite hydroxyapatite (HA)-chitosan coatings. The method is based on the electrophoretic deposition (EPD) of HA nanoparticles prepared by a chemical precipitation technique, and electrochemical deposition of chitosan macromolecules. The deposit composition can be varied by the variation of HA concentration in chitosan solutions. X-ray studies revealed preferred orientation of HA nanoparticles in the nanocomposites with c-axis parallel to the coating surface. Nanocomposite coatings were obtained on Ti and Pt foils, Ti wires and gauzes. Deposition yield can be controlled by the variation of the deposition time. Coatings of various thicknesses in the range of up to 50 μm were obtained. The method enables the formation of dense, adherent and uniform deposits on substrates of complex shape. The obtained coatings provide corrosion protection of Ti and can be utilized for the fabrication of advanced biomedical implants.
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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) | 0.001 | 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".