Modification of Pure Zinc Surface for Biomedical Applications: The Effect of Oxygen Plasma Immersion Ion Implantation on Tuning the Degradation Rate
Bibliographic record
Abstract
Abstract Zinc is a high-potential metal for biodegradable implants. The study of the surface properties, even if at a fundamental level, is of central importance because the surface is the place where electrochemical, physical, and biological interactions take place; this is critical especially for biomedical applications, in which these interactions affect each other. The present work investigates the effect of low-energy oxygen implantation, in the range of − 1 to − 5 kV, for different durations on commercially pure Zn, whose surface had been mechanically polished. The characterization of the as-received and implanted surface was carried out with standard and high-resolution electron microscopy, energy dispersive X-ray spectroscopy, sessile drop contact angle, X-ray photoelectron spectroscopy, and potentiodynamic tests. The plasma-treated surface showed distinct features related to the process parameters, such as the formation of surface waves and oxide agglomerates. The formation of an O-rich layer with specific morphological features was responsible for a slight modification of the corrosion rate, found to be generally lower for longer-time implanted samples being, for instance, ~ 78 ± 26 μm year −1 for samples implanted applying − 1 kV for 60 min compared to that of untreated samples, which is ~ 135 ± 9 μm year −1 .
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How this classification was reachedexpand
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 | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".