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Strength of bacterial adhesion on nanostructured surfaces quantified by substrate morphometry

  • Microbial adhesion and the subsequent formation of resilient biofilms at surfaces are decisively influenced by substrate properties, such as the topography. To date, studies that quantitatively link surface topography and bacterial adhesion are scarce, as both are not straightforward to quantify. To fill this gap, surface morphometry combined with single-cell force spectroscopy was performed on surfaces with irregular topographies on the nano-scale. As surfaces, hydrophobized silicon wafers were used that were etched to exhibit surface structures in the same size range as the bacterial cell wall molecules. The surface structures were characterized by a detailed morphometric analysis based on Minkowski functionals revealing both qualitatively similar features and quantitatively different extensions. We find that as the size of the nanostructures increases, the adhesion forces decrease in a way that can be quantified by the area of the surface that is available for the tethering of cell wall molecules. In addition, we observe a bactericidal effect, which is more pronounced on substrates with taller structures but does not influence adhesion. Our results can be used for a targeted development of 3D-structured materials for/against bio-adhesion. Moreover, the morphometric analysis can serve as a future gold standard for characterizing a broad spectrum of material structures.

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Metadaten
Document Type:Article
Author:Christian Spengler, Friederike Nolle, Johannes Mischo, Thomas Faidt, Samuel Grandthyll, Nicolas Thewes, Marcus Koch, Frank Müller, Markus BischoffORCiD, Michael Andreas Klatt, Karin Jacobs
URN:urn:nbn:de:bsz:291:415-4611
DOI:https://doi.org/10.1039/c9nr04375f
ISSN:2040-3364
Parent Title (English):Nanoscale
Volume:11
Issue:42
First Page:19713
Last Page:19722
Publisher:The Royal Society of Chemistry
Language:English
Year of first Publication:2019
Release Date:2022/11/18
Impact:06.895 (2019)
Funding Information:Deutsche Forschungsgemeinschaft (SFB 1027HU1874/3-2LA965/6-2)
Scientific Units:Physical Analytics
Open Access:Open Access
Signature:INM 2019/156
Licence (German):License LogoCreative Commons - CC BY - Namensnennung 4.0 International