Investigation of the effect of addition/replacement of bioactive glass to hydraulic calcium silicate cement
Bibliographic record
Abstract
OBJECTIVES: Assess the effect of addition or replacement of bioactive glass (BG) on the physico-chemical, antibacterial and biological properties of radiopacified tricalcium silicate cement (TCS). METHODS: Four materials were tested: An experimental cement with 80 % TCS, 20 % zirconium oxide (TZ-base); two modified versions of TZ-base incorporating 20 % BG 45S5 either as TCS-replacement (TZ-bg-R) or addition (TZ-bg-A); and Biodentine (Septodont). Setting time was assessed using ISO 6876:2012 method. Materials were immersed in water or Dulbecco's modified eagle medium with 10 % fetal bovine serum (DMEM-sup). After seven days, water sorption and solubility were assessed using ISO 4049:2019 methods; water uptake and porosity were also calculated; leachate alkalinity and calcium release were assessed with a pH meter and inductively coupled plasma respectively; specimens were characterized with scanning electron microscopy, energy dispersive X-ray and X-ray diffraction analysis. At one-day, antibacterial properties of material surfaces and leachates were tested against Enterococcus faecalis and Staphylococcus epidermidis biofilms; leachate cytotoxicity and cytokine release were assessed with the 3-(4,5 dimethylthiazolyl-2-yl)-2,5-diphenyl tetrazolium bromide assay and an enzyme-linked immunosorbent assay. Regression models were fitted for all dependent variables. RESULTS: Compared to TZ-base, the BG-containing materials had overall increased water sorption, water uptake and porosity; decreased solubility in DMEM-sup; lower calcium release; and generally similar pH, antibacterial activity, cytotoxicity and cytokine release. All experimental cements were more cytotoxic than Biodentine, but the latter caused higher cytokine release. SIGNIFICANCE: The BG-incorporation whether added or replacing the cement decreased the solubility in clinically relevant media and did not deteriorate the antimicrobial and biological properties of the materials.
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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 | 0.000 | 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) | 0.000 | 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".