Chemically soluble fluoride in toothpastes marketed in Colombia
Bibliographic record
Abstract
Introduction and objective: Toothpastes should contain chemically soluble fluoride to have anti-caries efficacy. This study aimed at determining how much of the total fluoride (TF) concentration in the five top-selling children/family Colombian-toothpaste brands corresponds to total chemically soluble fluoride (TSF). Materials and methods: a convenience sample of three tubes of each of the following five toothpaste brands were obtained from three different chain stores, one-per-store, in five Colombian cities (n=3/brand/city): Colgate-Smiles-6+, Kolynos-Super-Blanco, Fortident-Cuatriacción, Colgate-Triple-Acción, Fluocardent. TF (sum of all toothpaste’s fluoride) and TSF (toothpaste’s chemically soluble fluoride) concentrations were determined in each fresh toothpaste sample (before expiry date) using a standardized ion-specific electrode direct-technique protocol. TF concentration was compared with the manufacturers’ declared concentration. The difference between TF and TSF’s concentrations purchased in different cities was compared with a one-way ANOVA (5%). Results: Most toothpastes’ TF concentration complied with what was declared in the label. One toothpaste had a non-compatible fluoride/abrasive fluoride formulation and TSF < TF; however, it still complied with the minimum TSF requirement to exert a caries-preventive effect (>1000 ppm). Toothpastes’ TF and TSF concentrations did not differ between cities (p>0.05). Conclusion: Fresh samples of highly distributed toothpaste brands sold in five Colombian- cities contain chemically available fluoride concentrations with the potential to control and prevent dental caries.
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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) | 0.001 | 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".