Regulation of Mg-Cu alloy corrosion by Cu loading in a physiological solution: A study on morphology and surface chemistry
Bibliographic record
Abstract
Magnesium-copper alloys offer antimicrobial properties and improved mechanical performance due to Cu addition, which is advantageous in making anastomoses and anastomotic nails. For such applications, a controllable degradation of Mg-Cu alloys inside the human body is desired. This study investigates the surface morphology and chemistry of Mg-xCu alloys with varying Cu loadings x% (with x = 0.2, 0.6, 1.0 and 1.5) after immersion in aerated Hank’s balanced salt solution at 37 °C, which simulates a physiological environment. Profilometry and time-of-flight secondary ion mass spectrometry analyses reveal that Mg-0.2Cu forms a corrosion-preventing layer of calcium phosphate and calcium hydroxide, while higher Cu loadings result in increased surface roughness and void, suggesting increased corrosion rates. Despite morphological differences among Mg-0.6Cu, Mg-1.0Cu and Mg-1.5Cu, their surface chemistry is characteristic of magnesium hydroxide. Electrochemical impedance spectroscopy confirms the corrosion resistance of Mg-0.2Cu and higher corrosion rates for other alloys. These findings suggest that Cu loading regulates the corrosion rates of Mg-Cu alloys, providing insights into controlling their biodegradation for medical applications.
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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 | 0.001 | 0.001 |
| 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".