A Simulation Study of the Effect of Meso-Scopic Sinusoidal Surface Roughness on Biofilm Growth

2018 ◽  
pp. 315-325
Author(s):  
Md. Afsar Ali ◽  
Hermann J. Eberl ◽  
Rangarajan Sudarsan
Keyword(s):  
Surface Roughness ◽  
Simulation Study ◽  
Biofilm Growth ◽  
Sinusoidal Surface

scholarly journals Comparison of Polishing Methods Used in Extrinsic Discolouration of Primary Teeth in Terms of Surface Roughiness 

2021 ◽  
Author(s):  
Burcu Duman ◽  
Salih Doğan
Keyword(s):  
Surface Roughness ◽  
Primary Teeth ◽  
Plaque Formation ◽  
Tooth Surface ◽  
Primary Tooth ◽  
Average Roughness ◽  
Primary Molar ◽  
Biofilm Growth ◽  
Tooth Discoloration ◽  
Significant Difference

Abstract BackgroundSurface roughness is one of the main factors affecting bacterial adhesion, biofilm growth, plaque formation and coloration on the tooth surface. Improper polishing may increase roughness or not contribute to a reduction in roughness while removing biofilms on tooth surfaces. The aim of this study is to examine the effects of different polishing pastes applied to the enamel of primary teeth on the surface roughness through AFM, which enables a more detailed examination of the measurements, and to evaluate the roughness changes created by the paste on the surface. MethodsIn the present study, in order to compare polishing made using Septodent Détartrine, Kerr Cleanic, Shofu Mersaage Regular under the recommendations of the companies in addition to the application of pumice with a rubber brush, a total of 88 samples with 22 samples in each group were created using 88 primary molar teeth. Before and after polishing, roughness measurements and visualizations were performed with atomic force microscopy (AFM). After polishing, Ra (average roughness) values, which express the surface roughness of the re-scanned samples, were calculated so that the samples were the same as the first scanning. For statistical analysis, Shapiro-Wilk normality test and generalized linear models tests were applied and p <0.05 was considered as statistically significantResultsIn the groups; while there was no significant difference in terms of roughness values ​​(Ra) within the group (p> 0.05), a statistically significant reduction in roughness (Ra) was observed on the sample surfaces after polishing in all groups compared to the baseline (p <0.05). According to the data obtained; all polishing methods used in the treatment of primary tooth discoloration can reduce the plaque formation and thus the amount of recoloring by reducing the surface roughness at a similar level.ConclusionAccordingly, it has been observed that the current polishing pastes do not provide a significant advantage over the traditional polishing method (polishing brush with pumice) in terms of surface roughness in removing discoloration in primary teeth.

A multi-scale modeling and simulation study to investigate the effect of roughness of a surface on its self-cleaning performance

2020 ◽  
Vol 5 (7) ◽  
pp. 1277-1289 ◽  
Author(s):  
Sushanta K. Sethi ◽  
Manjinder Singh ◽  
Gaurav Manik
Keyword(s):  
Surface Roughness ◽  
Modeling And Simulation ◽  
Simulation Study ◽  
Multi Scale ◽  
Cleaning Performance ◽  
Scale Modeling ◽  
Multi Scale Modeling ◽  
Self Cleaning

The importance of surface roughness on wettability is vital in developing novel techniques and materials for fabrication of self-cleaning coatings.

Separation Gap Estimation in Dynamic Systems Actuated by Casimir Force

2011 ◽  
Vol 254 ◽  
pp. 21-24
Author(s):  
Song Cui ◽  
Yeng Chai Soh
Keyword(s):  
Surface Roughness ◽  
Simulation Study ◽  
Dynamic Systems ◽  
Casimir Force ◽  
Estimation Method ◽  
Finite Conductivity ◽  
Unknown Parameters ◽  
Experimental Conditions

In this paper, a new estimation method is proposed to estimate the separation gap and other unknown parameters in Casimir force actuated systems. Real experimental conditions like the finite conductivity and surface roughness are considered as well. Simulation study shows that the method is accurate even when the system has severe nonlinearity.

scholarly journals Antibiofilm and Protein-Repellent Polymethylmethacrylate Denture Base Acrylic Resin for Treatment of Denture Stomatitis

Materials ◽  
2021 ◽  
Vol 14 (5) ◽  
pp. 1067
Author(s):  
Salwa O. Bajunaid ◽  
Bashayer H. Baras ◽  
Abdulrahman A. Balhaddad ◽  
Michael D. Weir ◽  
Hockin H. K. Xu
Keyword(s):  
Surface Roughness ◽  
Acrylic Resin ◽  
Control Group ◽  
Solution Ph ◽  
Biofilm Growth ◽  
Denture Base ◽  
Denture Stomatitis ◽  
Colony Forming Unit ◽  
Microbial Infections ◽  
Unit Reduction

Candida albicans (C. albicans) biofilm is a common etiological factor in denture stomatitis. The purpose of this study was to investigate the effects of incorporating 2-methacryloyloxyethyl phosphorylcholine (MPC) as a protein repellent into a new high-impact denture acrylic (HIPA) resin on the surface roughness, solution pH, and C. albicans biofilm adhesion to the denture base. The new acrylic denture resin base was formulated by mixing MPC into HIPA resin at mass fractions of 1.5%, 3%, and 4.5%. Surface roughness was measured using a Mitutoyo surface roughness tester. C. albicans biofilm growth and viability were assessed via colony forming unit counts. The pH of the biofilm growth medium was measured using a digital pH meter. Adding MPC to the HIPA resin at percentages of 1.5% and 3% increased the roughness values significantly (p < 0.05), while adding 4.5% MPC resulted in no difference in roughness values to that of the control group (p > 0.05). All experimental groups demonstrated neutral pH values (pH ≅ 7) and were not significantly different from each other (p > 0.05). Incorporating 2-methacryloyloxyethyl phosphorylcholine at 4.5% resulted in a significant (≅1 log) colony-forming unit reduction compared with the control group with 0% MPC (p < 0.05). A fungal-retarding denture acrylic resin was developed through the incorporation of MPC for its protein-repelling properties. This newly developed denture acrylic material has the potential to prevent oral microbial infections, such as denture stomatitis.

Sign in / Sign up

Export Citation Format

Share Document