Grossman E S, Rosen M, Cleaton-Jones P E, Volchansky A
MRC/Wits Dental Research Institute, School of Oral Health Sciences, Faculty of Health Sciences, University of the Witwatersrand Private Bag 3.
SADJ. 2004 Aug;59(7):274, 276, 278-9.
Surface roughness of dental restorative materials is most often established with the Ra value obtained using profilometry or by assessing surface topography with the scanning electron microscope (SEM). Both methods should validate each other in confirming surface roughness.
The purpose of this study was to compare surface roughness values obtained with a profilometer to the SEM appearance of 6 resin-based restorative materials and assess whether Ra was appropriate as a sole surface roughness measure. Methods Six 5mm diameter specimen discs of Prodigy (Pr); Z100 (Z); Compoglass F (C); Hytac Aplitip (H); Photac-Fil (Pf) and Vitremer (V) were prepared against Mylar strips and stored in distilled water for 14 days. One side of each disc was sequentially polished with Soflex discs to super fine state, the other side remained unpolished. Three surface roughness measurements were made on each surface (n=18) recording Ra, Rv, Rp and Rt values, this data was subjected to a four way ANOVA and Tukey's Studentised Range Test (p=0.05). Two unpolished and two polished discs per material were prepared for SEM, evaluated and visually grouped for surface roughness.
Approximate ascending order of roughness was Z, Pr, H, C, V, Pf for Ra, Rv, Rp and Rt and un/polished treatment. Polishing increases surimens into a "bland" (Pr, H, Z, C) and "textured" group (Pf and V). The polished specimens gave four groups: (Pr), (Z and C), (H) and (V and Pf) of increasing surface complexity. Polishing caused surface scratching, removed the matrix, reduced or removed filler particles and exposed voids within the material.
This study emphasises the importance of using more than one technique to assess surface roughness. Rv and Rp values should be utilised to better understand polish induced surface feature changes. Rv maximum is a better measure to identify surface defects which could affect restoration longevity.
牙科修复材料的表面粗糙度通常是通过使用轮廓仪获得的Ra值来确定,或者通过扫描电子显微镜(SEM)评估表面形貌来确定。这两种方法在确认表面粗糙度方面应该相互验证。
本研究的目的是比较用轮廓仪获得的表面粗糙度值与6种树脂基修复材料的SEM外观,并评估Ra是否适合作为唯一的表面粗糙度测量指标。方法:制备直径为5mm的Prodigy(Pr)、Z100(Z)、Compoglass F(C)、Hytac Aplitip(H)、Photac-Fil(Pf)和Vitremer(V)的6个试样盘,使其紧贴聚酯薄膜条,并在蒸馏水中储存14天。每个盘的一侧依次用Soflex盘抛光至超细状态,另一侧保持未抛光。在每个表面进行三次表面粗糙度测量(n = 18),记录Ra、Rv、Rp和Rt值,该数据进行四因素方差分析和Tukey's Student化极差检验(p = 0.05)。每种材料制备两个未抛光和两个抛光的盘用于SEM,进行评估并根据表面粗糙度进行视觉分组。
对于Ra、Rv、Rp和Rt以及未抛光/抛光处理,粗糙度的近似升序为Z、Pr、H、C、V、Pf。抛光将试样分为“平滑”(Pr、H、Z、C)和“有纹理”组(Pf和V)。抛光后的试样分为四组:表面复杂度递增的(Pr)、(Z和C)、(H)和(V和Pf)。抛光导致表面划痕,去除了基质,减少或去除了填料颗粒,并暴露出材料内部的空隙。
本研究强调了使用多种技术评估表面粗糙度的重要性。应利用Rv和Rp值来更好地理解抛光引起的表面特征变化。Rv最大值是识别可能影响修复体寿命的表面缺陷的更好指标。