The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.
Antibacterial effects of nanopillar surfaces are mediated by cell impedance, penetration and induction of oxidative stress
Open accessAbstract
Some insects, such as dragonflies, have evolved nanoprotrusions on their wings that rupture bacteria on contact. This has inspired the design of antibacterial implant surfaces with insect-wing mimetic nanopillars made of synthetic materials. Here, we characterise the physiological and morphological effects of mimetic titanium nanopillars on bacteria. The nanopillars induce deformation and penetration of the Gram-positive and Gram-negative bacterial cell envelope, but do not rupture or lyse bacteria. They can also inhibit bacterial cell division, and trigger production of reactive oxygen species and increased abundance of oxidative stress proteins. Our results indicate that nanopillars’ antibacterial activities may be mediated by oxidative stress, and do not necessarily require bacterial lysis.
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Cited by
Surface Design for Antibacterial Materials: From Fundamentals to Advanced Strategies
Li, W., Thian, E. S., Wang, M., Wang, Z., & Ren, L. (2021) · Advanced Science · doi:10.1002/advs.202100368 · Cited by 429
Combating Implant Infections: Shifting Focus from Bacteria to Host
Amin Yavari, S., Castenmiller, S. M., van Strijp, J. A. G., & Croes, M. (2020) · Advanced Materials · doi:10.1002/adma.202002962 · Cited by 257
Metadata
- Authors
- Jenkins, J., Mantell, J., Neal, C., Gholinia, A., Verkade, P., Nobbs, A. H., & Su, B.
- Venue
- Nature Communications
- Published
- 2020-04-02
- Volume
- 11
- Issue
- 1
- Pages
- 1626-1626
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W3011566611
- Cited by
- 428
- References
- 49
- FWCI
- 20.39
- Type
- journal article
- Language
- en
- Open access
- gold
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
