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刷牙模拟对软组织衬垫表面粗糙度的影响:一项研究。

Effect of brushing simulation on the surface roughness of soft-tissue liners: An study.

作者信息

Kannan Sneha, Ganesh S Balaji, Jayalakshmi S

机构信息

Undergraduate Student, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, Tamil Nadu, India.

White Lab-Material Research Centre, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, Tamil Nadu, India.

出版信息

J Adv Pharm Technol Res. 2022 Nov;13(Suppl 1):S198-S201. doi: 10.4103/japtr.japtr_274_22. Epub 2022 Nov 30.

Abstract

Soft denture liners evenly distribute functional loads over denture-bearing tissues. The liners aid in more evenly distributing the pressures of mastication to the underlying tissues by absorbing some of the masticatory forces. The study aimed to evaluate the brushing simulation influence on the surface roughness property of soft-tissue liners. A total of eight samples of Avue brand soft-tissue liners with the composition of varnish base and varnish catalyst were suspended into a standard template extracted and numbered sequentially and surface roughness was calculated using a stylus profilometer. A total of 30,000 cycles brushing were done, where the first group samples were brushed with Colgate toothpaste and the second group brushed with Dabur Red toothpaste using a toothbrush simulator (ZM3.8 SD Mechatronik). The data of both pre- and postbrushing values were recorded manually and statistically uploaded on SPSS software version 22 and values were represented in clustered bar graph forms. The significance value of Ra was 0.321. The significance value of Rq was 0.211. The significance value of Rz was 0.354, hence statistically, insignificant. In the present study, the surface roughness of soft-tissue liners is reduced to a minimal extent after brushing simulation.

摘要

软性义齿衬垫可将功能负荷均匀分布于义齿承托组织上。这些衬垫通过吸收部分咀嚼力,有助于更均匀地将咀嚼压力传递至下方组织。本研究旨在评估刷牙模拟对软组织衬垫表面粗糙度特性的影响。将总共八个具有清漆基料和清漆催化剂成分的Avue牌软组织衬垫样本悬挂在一个标准模板中,依次提取并编号,然后使用触针式轮廓仪计算表面粗糙度。总共进行了30000次刷牙循环,其中第一组样本使用高露洁牙膏刷牙,第二组使用达伯红牙膏通过牙刷模拟器(ZM3.8 SD Mechatronik)刷牙。刷牙前后的数据均手动记录,并统计上传至SPSS 22软件版本,数据以聚类条形图形式呈现。Ra的显著性值为0.321。Rq的显著性值为0.211。Rz的显著性值为0.354,因此从统计学角度来看,不显著。在本研究中,刷牙模拟后软组织衬垫的表面粗糙度降低到了最小程度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a03/9836151/5138b2ae3634/JAPTR-13-198-g001.jpg

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