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

  • Datos identificativos

    Identificador: imarina:5908229
    Autores:
    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.
    Resumen:
    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]
  • Otros:

    Autor según el artículo: 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.;
    Departamento: Enginyeria Química
    Autor/es de la URV: Baulin, Vladimir
    Palabras clave: Neural network analysis Nanoarchitecture Deep reactive ion etching (drie) Black silicon Bactericidal efficiency Arrays nanoarchitecture deep reactive ion etching (drie) black silicon bactericidal efficiency
    Resumen: 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]
    Áreas temáticas: Physics, applied Nanoscience & nanotechnology Materials science, multidisciplinary
    ISSN: 23116706
    Direcció de correo del autor: vladimir.baulin@urv.cat
    Identificador del autor: 0000-0003-2086-4271
    Fecha de alta del registro: 2024-10-19
    Volumen de revista: 10
    Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
    Enlace a la fuente original: https://link.springer.com/article/10.1007/s40820-017-0186-9
    URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
    Referencia al articulo segun fuente origial: Nano-Micro Letters. 10 (2):
    Referencia de l'ítem segons les normes 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
    DOI del artículo: 10.1007/s40820-017-0186-9
    Entidad: Universitat Rovira i Virgili
    Año de publicación de la revista: 2018
    Página inicial: Article number 6
    Tipo de publicación: Journal Publications
  • Palabras clave:

    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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