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

Journal of Materials Science & Technology 2021年第22期81卷 151-161页

作者： subash bommu chinnaraj Pahala Gedara Jayathilake Jack Dawson Yasmine Ammar Jose Portoles Nicholas Jakubovics Jinju Chen School of Engineering Newcastle UniversityNewcastle Upon TyneUK Department of Oncology University of OxfordUK School of Dental Sciences Newcastle UniversityNewcastle Upon TyneUK

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 *** on the initial attachment of cells of the bacterium Streptococcus gordonii(***),an important early coloniser of dental plaque,to samples of stainless steel(SS)have been reported in this *** 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 *** material and bacterium were chosen by virtue of their relevance to dental implants and dental implant *** 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 *** 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 *** roughness was modelled by reconstructing the surface topography using statistical parameters derived from atomic force microscopy(AFM)*** this computational model,the effects of roughness and surface patterns on bacterial attachment were examined quantitatively in both static and flowing fluid *** results have shown that rougher surfaces(within the sub-microscale)generally increase bacterial attachment in static fluid conditions which quantitatively agrees with experimental *** flow conditions,computational fluid dynamics(CFD)simulations predicted reduced convection-diffusion inside the channel which would act to decrease bacterial *** combined with surface roughness effects,the computational model also predicted that the surface top

关键词： Bacterial attachment XDLVO theory Computational modelling Surface topography Surface roughness

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