Objective: To evaluate the effect of mouth rinses (Biofresh and ZAK) on the surface micro hardness
of two light cure restorative material (Tetric ceram ivoclar-vivadent) and (3M Z 250) dental
composite.
Methodology: The microhardness values of (sixty) composite specimens were measured at the top
surfaces after 24 hours of immersion in different solutions (Biofresh, Zak mouth wash and distilled
water as control). Comparison done using descriptive statistics (mean, SD, SEM, minimum and
maximum values) and inferential statistics (ANOVA and LSD) test.
Results: The biofresh mouth rinse which has high alcohol containing has less effect on
microhardness of tetric ceram than the zak &distiled water , while the effect of Zak mouth rinse on
microhhybrid composit (3M Z250) is less than biofresh &distiled water, also there was highly
significant difference between subgroup of tetric ceram and the same for (3M Z250) composite & the
effect of the mouth rinse on hardness was material dependent it may be attributed to the differences
in chemical composition and filler type of each material. Since it was found that alcohol is not the only
factor that has the softening effect on the restorative material, other ingredient in a mouth rinse. may
have softening effect on polymer matrix.
Recommendations: We recommend for a comparison of color stability for restorative material
under the effect of mouth rinsing.
Abstract
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The aim of this research is to use robust technique by trimming, as the analysis of maximum likelihood (ML) often fails in the case of outliers in the studied phenomenon. Where the (MLE) will lose its advantages because of the bad influence caused by the Outliers. In order to address this problem, new statistical methods have been developed so as not to be affected by the outliers. These methods have robustness or resistance. Therefore, maximum trimmed likelihood: (MTL) is a good alternative to achieve more results. Acceptability and analogies, but weights can be used to increase the efficiency of the resulting capacities and to increase the strength of the estimate using the maximum weighted trimmed likelihood (MWTL). In order to perform t
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