Investigating the effect of <scp>T</scp>i<scp>O</scp><sub>2</sub> on the structure and biocompatibility of bioactive glass
Bibliographic record
Abstract
Abstract Titanium (Ti 4+ ) containing materials have been widely used in medical applications due to its associated bioactivity in vivo . This study investigates the replacement of Si 4+ with Ti 4+ within the system SiO 2 ‐Na 2 O‐CaO‐P 2 O 5 to determine its influence on glass structure. This strategy was conducted in order to control the glass solubility to further improve the cellular response. Ti 4+ incorporation was found to have little influence on the glass transition temperature ( T g = 520 ± 8°C) and magic angle spinning‐nuclear magnetic resonance (MAS‐NMR) shifts (−80 ppm) up to additions of 18 wt %. However, at 30 wt % the T g increased to 600°C and MAS‐NMR spectra shifted to −88 ppm. There was also an associated reduction in glass solubility as a function of Ti 4+ incorporation as determined by inductively coupled plasma optical emission spectroscopy where Si 4+ (1649–44 mg/L) and Na + (892–36 mg/L) levels greatly reduced while Ca 2+ (3–5 mg/L) and (2–7 mg/L) levels remained relatively unchanged. MC3T3 osteoblasts were used for cell culture testing and it was determined that the Ti 4+ glasses increased cell viability and also facilitated greater osteoblast adhesion and proliferation to the glass surface compared to the control glass. © 2015 Wiley Periodicals, Inc. J Biomed Mater Res Part B: Appl Biomater, 104B: 1703–1712, 2016.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.013 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".