Articles producció científica> Enginyeria Química

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

  • Identification data

    Identifier: imarina:5908229
    Authors:
    Bhadra, Chris M.Werner, MarcoBaulin, Vladimir A.Vi Khanh TruongAl Kobaisi, MohammadSong Ha NguyenBalcytis, ArmandasJuodkazis, SauliusWang, James Y.Mainwaring, David E.Crawford, Russell J.Ivanova, Elena P.
    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. [GRAPHICS]
  • Others:

    Author, as appears in the article.: Bhadra, Chris M.; Werner, Marco; Baulin, Vladimir A.; Vi Khanh Truong; Al Kobaisi, Mohammad; Song Ha Nguyen; Balcytis, Armandas; Juodkazis, Saulius; Wang, James Y.; Mainwaring, David E.; Crawford, Russell J.; Ivanova, Elena P.;
    Department: Enginyeria Química
    URV's Author/s: Baulin, Vladimir
    Keywords: Neural network analysis Nanoarchitecture Deep reactive ion etching (drie) Black silicon Bactericidal efficiency Arrays nanoarchitecture deep reactive ion etching (drie) black silicon bactericidal efficiency
    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. [GRAPHICS]
    Thematic Areas: Physics, applied Nanoscience & nanotechnology Materials science, multidisciplinary
    ISSN: 23116706
    Author's mail: vladimir.baulin@urv.cat
    Author identifier: 0000-0003-2086-4271
    Record's date: 2024-10-19
    Journal volume: 10
    Papper version: info:eu-repo/semantics/publishedVersion
    Link to the original source: https://link.springer.com/article/10.1007/s40820-017-0186-9
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Papper original source: Nano-Micro Letters. 10 (2):
    APA: Bhadra, Chris M.; Werner, Marco; Baulin, Vladimir A.; Vi Khanh Truong; Al Kobaisi, Mohammad; Song Ha Nguyen; Balcytis, Armandas; Juodkazis, Saulius; W (2018). Subtle Variations in Surface Properties of Black Silicon Surfaces Influence the Degree of Bactericidal Efficiency. Nano-Micro Letters, 10(2), -. DOI: 10.1007/s40820-017-0186-9
    Article's DOI: 10.1007/s40820-017-0186-9
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2018
    First page: Article number 6
    Publication Type: Journal Publications
  • Keywords:

    Materials Science, Multidisciplinary,Nanoscience & Nanotechnology,Physics, Applied
    Neural network analysis
    Nanoarchitecture
    Deep reactive ion etching (drie)
    Black silicon
    Bactericidal efficiency
    Arrays
    nanoarchitecture
    deep reactive ion etching (drie)
    black silicon
    bactericidal efficiency
    Physics, applied
    Nanoscience & nanotechnology
    Materials science, multidisciplinary
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