2017
DOI: 10.1016/j.fbp.2017.01.011
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The effect of surface properties on bacterial retention: A study utilising stainless steel and TiN/25.65at.%Ag substrata

Abstract: The TiN/25.65at.%Ag coating was antimicrobial against bacteria  The physicochemistry of the bacteria and surfaces influenced bacterial retention  Multifractal analysis (MFA) did not affect the density of the bacteria  MFA demonstrated that surface properties affected bacterial spread and clustering  The surface properties influenced specific species : substratum interactions

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Cited by 10 publications
(10 citation statements)
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“…Before biofilm formation occurs, the microorganisms will bind to the surface in a series of steps ( Tetlow et al, 2017 ). The initial step, which is governed by physicochemical forces, is the attachment stage, and microorganisms may be easily removed from the surface at this point.…”
Section: Discussionmentioning
confidence: 99%
“…Before biofilm formation occurs, the microorganisms will bind to the surface in a series of steps ( Tetlow et al, 2017 ). The initial step, which is governed by physicochemical forces, is the attachment stage, and microorganisms may be easily removed from the surface at this point.…”
Section: Discussionmentioning
confidence: 99%
“…The AFM showed a heterogeneous surface topography where the PVAc had a more irregular surface topography than the PVOH. The main parameter often reported in the literature for attachment and adhesion of microorganisms is surface roughness, and this may be evaluated according to R or S values [46,51]. It has been suggested that a rougher surface may enhance the attachment and adhesion of fungi, due to the greater surface area and therefore more available surface sites for thermodynamic reactions to occur [52,53].…”
Section: Discussionmentioning
confidence: 99%
“…A Δf(α) < 0 indicated more intense clustering of the MoO 2 . 25,40 Therefore, MFA revealed that clusters of gaps were dominant up to 60 s, and that clusters of MoO 2 were observed for 240 and 300 s, indicating a time-dependent deposition process. Interestingly, as the MoO 2 deposition time increased, the MoO 2 on the AM-G M s became more agglomerated; this strengthens the theory that MoO 2 selectively bound to the electrochemically active sites of the AM-G M s. Thus, MFA, which relies upon the estimation of fractional features, 41 was successfully used in this study; the fractional features were correlated with MoO 2 depositions.…”
Section: ■ Results and Discussionmentioning
confidence: 95%
“…A Δ f (α) > 0 indicated a cluster of gaps and therefore more space between the MoO 2 on the surface of the electrode. , As the deposition time of MoO 2 increased, the clustering value became more negative, with the first negative value reported at 180 s (−0.055) and the most negative value was observed at the 300 s MoO 2 deposition time point. A Δ f (α) < 0 indicated more intense clustering of the MoO 2 . , Therefore, MFA revealed that clusters of gaps were dominant up to 60 s, and that clusters of MoO 2 were observed for 240 and 300 s, indicating a time-dependent deposition process. Interestingly, as the MoO 2 deposition time increased, the MoO 2 on the AM-G M s became more agglomerated; this strengthens the theory that MoO 2 selectively bound to the electrochemically active sites of the AM-G M s. Thus, MFA, which relies upon the estimation of fractional features, was successfully used in this study; the fractional features were correlated with MoO 2 depositions.…”
Section: Resultsmentioning
confidence: 98%
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