Direct and Rapid Quantification of Calcium Phosphate Precipitate on Titanium by X-Ray Fluorescence Analysis Using Fundamental Parameter Method
Bibliographic record
Abstract
In the present study, we propose a characterization technique to determine the amount of calcium phosphate (CP) precipitate formed on a titanium substrate. The quantitative analysis of the CP precipitate on a metallic substrate is significant for researchers of metallic biomaterials because CP that spontaneously precipitates in a simulated-body fluid gives information on the bioactivity of the metallic biomaterials. We focused on X-ray fluorescence (XRF) analysis and adopted the thin-film fundamental parameter method (thin-film FP method) because it allows direct (non-pretreatment) and rapid quantitative analysis without any reference materials. We show that XRF analysis using the thin-film FP method can be adequately applied to the quantitative analysis of the CP precipitate in the simulated-body fluid immersion test. We also show that the density of the CP-precipitate layer can be estimated by combining the XRF results with images of cross-sectional scanning electron microscopy (SEM). Consequently, XRF analysis combined with the thin-film FP method can provide a convenient means to evaluate the CP precipitate on a titanium substrate, which improves the accuracy and accessibility of the simulated-body fluid immersion test.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".