The Application of the Logistic Equation Model to Predict the Remineralization Characteristics of Desensitizing Paste.
Int J Dent
; 2019: 7528154, 2019.
Article
en En
| MEDLINE
| ID: mdl-31687027
ABSTRACT
OBJECTIVES:
A mathematical model making using of the Verhulst logistic equation was developed to predict the remineralization behaviors of desensitizing paste.METHODS:
The input parameter used for the model was obtained experimentally by brushing twenty-one simulated dentin specimens for seven days with three sample groups, namely, EB@TiO2, Colgate Pro-relief, and Sensodyne repair (n = 7). A field emission scanning electron microscope (FESEM) and ImageJ software were used to observe and measure the % occluded ratio of the dentin surface. The model fittings for the three sample groups were carried out using the built-in MATLAB least-squares fitting routine fmincon in the optimization toolbox.RESULTS:
The results suggest that the experimental parameter were in agreement with the model. It was found that the logistic equation model can make a future prediction of the remineralization pattern for EB@TiO2 and Colgate Pro-relief. It was, however, found that the trajectory for the Sensodyne repair was a bit complex, thus making the prediction difficult.CONCLUSIONS:
Overall, the salient feature of this study suggests that the logistic equation could be used to predict the remineralization behavior of desensitizing paste in the management of sensitive tooth.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Tipo de estudio:
Prognostic_studies
/
Risk_factors_studies
Idioma:
En
Revista:
Int J Dent
Año:
2019
Tipo del documento:
Article
País de afiliación:
Sudáfrica