Repositori institucional URV
| Autor/es de la URV: | Baulin, Vladimir |
| 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.; |
| Direcció de correo del autor: | vladimir.baulin@urv.cat |
| Identificador del autor: | 0000-0003-2086-4271 |
| Año de publicación de la revista: | 2018 |
| Tipo de publicación: | Journal Publications |
| ISSN: | 23116706 |
| 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): |
| 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.
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| DOI del artículo: | 10.1007/s40820-017-0186-9 |
| Enlace a la fuente original: | https://link.springer.com/article/10.1007/s40820-017-0186-9 |
| Versión del articulo depositado: | info:eu-repo/semantics/publishedVersion |
| Departamento: | Enginyeria Química |
| URL Documento de licencia: | https://repositori.urv.cat/ca/proteccio-de-dades/ |
| Áreas temáticas: | Physics, applied Nanoscience & nanotechnology Materials science, multidisciplinary |
| 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 |
| Entidad: | Universitat Rovira i Virgili |
| Fecha de alta del registro: | 2024-10-19 |
| Página inicial: | Article number 6 |
| Volumen de revista: | 10 |
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| DocumentPrincipal | DocumentPrincipal | application/pdf |
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