Subtle Variations in Surface Properties of Black Silicon Surfaces Influence the Degree of Bactericidal Efficiency

Bhadra, C, Werner, M, Baulin, V, Truong, V, Kobaisi, M, Nguyen, S, Balčytis, A, Juodkazis, S, Wang, J, Mainwaring, D, Crawford, R and Ivanova, E 2018, 'Subtle Variations in Surface Properties of Black Silicon Surfaces Influence the Degree of Bactericidal Efficiency', Nano-Micro Letters, vol. 10, no. 2, pp. 1-8.


Document type: Journal Article
Collection: Journal Articles

Title Subtle Variations in Surface Properties of Black Silicon Surfaces Influence the Degree of Bactericidal Efficiency
Author(s) Bhadra, C
Werner, M
Baulin, V
Truong, V
Kobaisi, M
Nguyen, S
Balčytis, A
Juodkazis, S
Wang, J
Mainwaring, D
Crawford, R
Ivanova, E
Year 2018
Journal name Nano-Micro Letters
Volume number 10
Issue number 2
Start page 1
End page 8
Total pages 8
Publisher SpringerOpen
Abstract One of the major challenges faced by the biomedical industry is the development of robust synthetic surfaces that can resist bacterial colonization. Much inspiration has been drawn recently from naturally occurring mechano-bactericidal surfaces such as the wings of cicada (Psaltoda claripennis) and dragonfly (Diplacodes bipunctata) species in fabricating their synthetic analogs. However, the bactericidal activity of nanostructured surfaces is observed in a particular range of parameters reflecting the geometry of nanostructures and surface wettability. Here, several of the nanometer-scale characteristics of black silicon (bSi) surfaces including the density and height of the nanopillars that have the potential to influence the bactericidal efficiency of these nanostructured surfaces have been investigated. The results provide important evidence that minor variations in the nanoarchitecture of substrata can substantially alter their performance as bactericidal surfaces.
Subject Microbiology not elsewhere classified
Keyword(s) Bactericidal efficiency
Black silicon
Deep reactive ion etching (DRIE)
Nanoarchitecture
Neural network analysis
DOI - identifier 10.1007/s40820-017-0186-9
Copyright notice © The Author(s) 2018. Creative Commons Attribution 4.0 International License.
ISSN 2311-6706
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