Articles producció científicaEnginyeria Química

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, 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.
    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:

    Enlace a la fuente original: https://link.springer.com/article/10.1007/s40820-017-0186-9
    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
    Referencia al articulo segun fuente origial: Nano-Micro Letters. 10 (2):
    DOI del artículo: 10.1007/s40820-017-0186-9
    Año de publicación de la revista: 2018
    Entidad: Universitat Rovira i Virgili
    Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
    Fecha de alta del registro: 2024-10-19
    Página inicial: Article number 6
    Autor/es de la URV: Baulin, Vladimir
    Departamento: Enginyeria Química
    URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
    Tipo de publicación: Journal Publications
    ISSN: 23116706
    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.;
    Volumen de revista: 10
    Áreas temáticas: Physics, applied, Nanoscience & nanotechnology, Materials science, multidisciplinary
    Direcció de correo del autor: vladimir.baulin@urv.cat
  • Palabras clave:

    Neural network analysis
    Nanoarchitecture
    Deep reactive ion etching (drie)
    Black silicon
    Bactericidal efficiency
    Arrays
    Materials Science
    Multidisciplinary
    Nanoscience & Nanotechnology
    Physics
    Applied
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