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牙膏磨损与磨料颗粒含量:将高分辨率轮廓测量分析与相对牙本质磨损性(RDA)相关联

Toothpaste Abrasion and Abrasive Particle Content: Correlating High-Resolution Profilometric Analysis with Relative Dentin Abrasivity (RDA).

作者信息

Enax Joachim, Meyer Frederic, Schulze Zur Wiesche Erik, Fuhrmann Ines Christin, Fabritius Helge-Otto

机构信息

Research Department, Dr. Kurt Wolff GmbH & Co. KG, Johanneswerkstr. 34-36, 33611 Bielefeld, Germany.

Bionics and Materials Development, Department Lippstadt 1, Hamm-Lippstadt University of Applied Sciences, 59063 Hamm, Germany.

出版信息

Dent J (Basel). 2023 Mar 12;11(3):79. doi: 10.3390/dj11030079.

Abstract

In this in vitro study, the influence of the concentration of abrasive particles on the abrasivity of toothpastes was investigated using laser scan profilometry on polymethyl methacrylate (PMMA) surfaces with the aim of providing an alternative method to developers for screening of new toothpaste formulations. PMMA plates were tested in a toothbrush simulator with distilled water and four model toothpastes with increasing content of hydrated silica (2.5, 5.0, 7.5, 10.0 wt%). The viscosity of the model toothpaste formulations was kept constant by means of varying the content of sodium carboxymethyl cellulose and water. The brushed surfaces were evaluated using laser scan profilometry at micrometer-scale resolutions, and the total volume of the introduced scratches was calculated along with the roughness parameters Ra, Rz and Rv. RDA measurements commissioned for the same toothpaste formulations were used to analyze the correlation between results obtained with the different methods. The same experimental procedure was applied to five commercially available toothpastes, and the results were evaluated against our model system. In addition, we characterize abrasive hydrated silica and discuss their effects on PMMA-sample surfaces. The results show that the abrasiveness of a model toothpaste increases with the weight percentage of hydrated silica. Increasing roughness parameter and volume loss values show good correlation with the likewise increasing corresponding RDA values for all model toothpastes, as well as commercial toothpastes without ingredients that can damage the used substrate PMMA. From our results, we deduce an abrasion classification that corresponds to the RDA classification established for marketed toothpastes.

摘要

在这项体外研究中,通过对聚甲基丙烯酸甲酯(PMMA)表面进行激光扫描轮廓测定法,研究了磨料颗粒浓度对牙膏磨损性的影响,目的是为牙膏配方开发者提供一种筛选新牙膏配方的替代方法。在牙刷模拟器中,用蒸馏水和四种水合二氧化硅含量递增(2.5、5.0、7.5、10.0 wt%)的模型牙膏对PMMA板进行测试。通过改变羧甲基纤维素钠和水的含量,使模型牙膏配方的粘度保持恒定。使用激光扫描轮廓测定法在微米级分辨率下评估刷牙后的表面,并计算引入划痕的总体积以及粗糙度参数Ra、Rz和Rv。对相同牙膏配方进行的磨损率(RDA)测量用于分析不同方法所得结果之间的相关性。将相同的实验程序应用于五种市售牙膏,并根据我们的模型系统对结果进行评估。此外,我们对磨料水合二氧化硅进行了表征,并讨论了它们对PMMA样品表面的影响。结果表明,模型牙膏的磨损性随水合二氧化硅的重量百分比增加而增加。对于所有模型牙膏以及不含会损坏所用基材PMMA成分的市售牙膏,粗糙度参数和体积损失值的增加与相应RDA值的增加呈现出良好的相关性。根据我们的结果,我们推断出一种与市售牙膏所建立的RDA分类相对应的磨损分类。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e71/10047781/2f5aef1d4d0f/dentistry-11-00079-g001.jpg

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