Surface Characterization of Biomimetic Hydroxyapatite-Silver Functionalized on Polydopamine Film
Bibliographic record
Abstract
Hydroxyapatite (HA) is a well known bioactive material in the application of coated orthopaedic and dental implants. Recently, biomimetic technique has been explored to deposit a stable carbonated HA on a metal surface, mimicking the properties of natural bone. The aim of this study is to surface characterize the biomimetic hydroxyapatite (HA) and metallized silver (Ag) functionalized on a polydopamine film grafted titanium alloy (Ti6Al4V). The Ti6Al4V disks were grafted with the polydopamine film to provide catechol/quinone groups for chemical binding process. The grafted surfaces were metallized with Ag in silver nitrate solution. The metallized surfaces were then grafted with the second layer of polydopamine film and further biomineralized with HA in 1.5 simulated body fluid (SBF) solution for 3 and 7 days. The chemical compositions and chemical functionalities of those functionalized surfaces were characterized by XPS, FTIR and EDS. The morphologies of the surfaces were viewed under SEM. Finally, the wettability properties of the surfaces were investigated by water contact angle analysis. The XPS results showed that the polydopamine films were grafted on the Ti6Al4V surfaces. The polydopamine films became the chemical binding medium for functionalization of Ag and HA as the existence of both elements were clarified in XPS and EDS data. The appearance of HA functional groups (phosphate groups) were only noticed on FTIR spectrum when the biomimetic process was performed at 7 days. The formation of biomimetic HA has produced a hydrophilic surface with an appearance of hemispherical lath-like HA structure which is crucial for osseointegration and bone growth stability.
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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".