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| Main Authors: | , , , |
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| Format: | Preprint |
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2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2501.11727 |
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| _version_ | 1866912196883120128 |
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| author | Singh, Akash Zhang, Yi Cao, Qing Li, Yumeng |
| author_facet | Singh, Akash Zhang, Yi Cao, Qing Li, Yumeng |
| contents | Insects like dragonflies and cicadas possess nanoprotusions on their wings that rupture bacterial membranes upon contact, inspiring synthetic antibacterial surfaces mimicking this phenomenon. Designing such biomimetic surfaces requires understanding the mechanical interaction between nanopillars and bacterial membranes. However, the small scales of these interactions pose challenges. Molecular Dynamics simulations offer precise and efficient modeling at these scales. This study presents a coarse-grained membrane model to explore the mechanical responses of gram-positive and gram-negative bacterial membranes to nanopillar arrays. By varying bacterial shapes (spherical and cylindrical), membrane bending rigidity, and loading rates, we identified two distinct failure mechanisms. Low bending rigidity, typical of gram-negative bacteria, leads to tearing near nanopillar tips, contrary to prior assumptions. High bending rigidity, characteristic of gram-positive bacteria, results in puncturing at contact points. Gram-positive bacteria are more resistant, requiring a threefold increase in loading rate for effective piercing. Nanopillar height and spacing also critically impact bactericidal efficacy: greater heights enhance activity beyond a critical threshold, while increased spacing reduces efficacy. This simplified coarse-grained model, representing bacterial membranes with high fidelity, enables cost-effective, full-scale simulations over extended periods. Our findings provide essential insights for optimizing nanopillared surface designs, advancing antibacterial technology through tailored height and spacing configurations. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2501_11727 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Nanopillar-Driven Antibacterial Surfaces: Elucidating Bactericidal Mechanisms and Engineering Nanostructures for Enhanced Efficacy Singh, Akash Zhang, Yi Cao, Qing Li, Yumeng Soft Condensed Matter Mesoscale and Nanoscale Physics Materials Science Biological Physics Computational Physics Insects like dragonflies and cicadas possess nanoprotusions on their wings that rupture bacterial membranes upon contact, inspiring synthetic antibacterial surfaces mimicking this phenomenon. Designing such biomimetic surfaces requires understanding the mechanical interaction between nanopillars and bacterial membranes. However, the small scales of these interactions pose challenges. Molecular Dynamics simulations offer precise and efficient modeling at these scales. This study presents a coarse-grained membrane model to explore the mechanical responses of gram-positive and gram-negative bacterial membranes to nanopillar arrays. By varying bacterial shapes (spherical and cylindrical), membrane bending rigidity, and loading rates, we identified two distinct failure mechanisms. Low bending rigidity, typical of gram-negative bacteria, leads to tearing near nanopillar tips, contrary to prior assumptions. High bending rigidity, characteristic of gram-positive bacteria, results in puncturing at contact points. Gram-positive bacteria are more resistant, requiring a threefold increase in loading rate for effective piercing. Nanopillar height and spacing also critically impact bactericidal efficacy: greater heights enhance activity beyond a critical threshold, while increased spacing reduces efficacy. This simplified coarse-grained model, representing bacterial membranes with high fidelity, enables cost-effective, full-scale simulations over extended periods. Our findings provide essential insights for optimizing nanopillared surface designs, advancing antibacterial technology through tailored height and spacing configurations. |
| title | Nanopillar-Driven Antibacterial Surfaces: Elucidating Bactericidal Mechanisms and Engineering Nanostructures for Enhanced Efficacy |
| topic | Soft Condensed Matter Mesoscale and Nanoscale Physics Materials Science Biological Physics Computational Physics |
| url | https://arxiv.org/abs/2501.11727 |