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M Jaarda

Publications and source records attributed to M Jaarda.

2 recordsLinked to original sources

Filler particle size and composite resin classification systems.

The currently used composite resin classification systems need review if they are to continue to serve as descriptives and quantitative parameters denoting the filler particle content of these materials. Examination of the particles in 12 composite resins using a technique of washing the filler particles from the matrix of the composite resin was presented as yet another method of grouping composites according to filler particle content. Light microscopic examination of the filler particles that remained provided a separation of the 12 materials into four easily distinguished groups based on filler particle sizes. The wear of the 12 composite resins determined in a previous study was examined in relation to the classification of the materials by the currently available systems. The wear values were also examined using the groupings of the materials according to their filler particle sizes as determined by separating the particles from the matrix by the washing technique. Grouping composites on the basis of the filler particle sizes found after washing was easily correlated with wear and supported the suggestion that composites with smaller filler particles wear less.

Acrylic Resins↗

An in vivo experiment to test composite resin wear using the Latin-Square analysis.

The Michigan Computer Graphics Coordinate Measurement System was used to measure the wear of three composite resins and an amalgam alloy control. The validity of the Latin Square experimental design for analysis in a clinical study was demonstrated, and statistically significant differences in wear were established for main effect for the materials under investigation. None of the composite resins examined approximated the amalgam alloy control in wear properties. Rank ordering of the materials with respect to wear was possible using this experimental design. Ranking of the materials for wear resistance using this research approach opens up other future research opportunities to correlate such properties as filler particle size, composition, and distribution with the data derived.

Analysis of Variance↗