Modelling the combined effect of surface roughness and topography on bacterial attachment  

作　　者：Subash Bommu Chinnaraj Pahala Gedara Jayathilake Jack Dawson Yasmine Ammar Jose Portoles Nicholas Jakubovics Jinju Chen 

机构地区：[1]School of Engineering,Newcastle University,Newcastle Upon Tyne,UK [2]Department of Oncology,University of Oxford,UK [3]School of Dental Sciences,Newcastle University,Newcastle Upon Tyne,UK

出　　处：《Journal of Materials Science & Technology》2021年第22期151-161,共11页材料科学技术（英文版）

基　　金：Subash Bommu Chinnaraj acknowledges the Newcastle University SAGE DTA studentship;EPSRC DTP scholarship;funding from the Engineering and Physical Sciences Research Council(No.EP/K039083/1)。

摘　　要：Bacterial attachment is a complex process affected by flow conditions,imparted stresses,and the surface properties and structure of both the supporting material and the cell.Experiments on the initial attachment of cells of the bacterium Streptococcus gordonii(S.gordonii),an important early coloniser of dental plaque,to samples of stainless steel(SS)have been reported in this work.The primary aim motivating this study was to establish what affect,if any,the surface roughness and topology of samples of SS would have on the initial attachment of cells of the bacterium S.gordonii.This material and bacterium were chosen by virtue of their relevance to dental implants and dental implant infections.Prior to bacterial attachment,surfaces become conditioned by the interfacing environment(salivary pellicle from the oral cavity for instance).For this reason,cell attachment to samples of SS pre-coated with saliva was also studied.By implementing the Extended Derjaguin Landau Verwey and Overbeek(XDLVO)theory coupled with convection-diffusion-reaction equations and the surface roughness information,a computational model was developed to help better understand the physics of cell adhesion.Surface roughness was modelled by reconstructing the surface topography using statistical parameters derived from atomic force microscopy(AFM)measurements.Using this computational model,the effects of roughness and surface patterns on bacterial attachment were examined quantitatively in both static and flowing fluid environments.The results have shown that rougher surfaces(within the sub-microscale)generally increase bacterial attachment in static fluid conditions which quantitatively agrees with experimental measurements.Under flow conditions,computational fluid dynamics(CFD)simulations predicted reduced convection-diffusion inside the channel which would act to decrease bacterial attachment.When combined with surface roughness effects,the computational model also predicted that the surface topographies discussed within this work produced a

关 键 词：Bacterial attachment XDLVO theory Computational modelling Surface topography Surface roughness 

分 类 号：TG142.71[一般工业技术—材料科学与工程]