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Destructive extraction of phospholipids from Escherichia coli membranes by graphene nanosheets

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TLDR
Graphene nanosheets can penetrate into and extract large amounts of phospholipids from the cell membranes because of the strong dispersion interactions between graphene and lipid molecules as mentioned in this paper.
Abstract
Understanding how nanomaterials interact with cell membranes is related to how they cause cytotoxicity and is therefore critical for designing safer biomedical applications. Recently, graphene (a two-dimensional nanomaterial) was shown to have antibacterial activity on Escherichia coli, but its underlying molecular mechanisms remain unknown. Here we show experimentally and theoretically that pristine graphene and graphene oxide nanosheets can induce the degradation of the inner and outer cell membranes of Escherichia coli, and reduce their viability. Transmission electron microscopy shows three rough stages, and molecular dynamics simulations reveal the atomic details of the process. Graphene nanosheets can penetrate into and extract large amounts of phospholipids from the cell membranes because of the strong dispersion interactions between graphene and lipid molecules. This destructive extraction offers a novel mechanism for the molecular basis of graphene's cytotoxicity and antibacterial activity.

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Ligand Length and Surface Curvature Modulate Nanoparticle Surface Heterogeneity and Electrostatics

TL;DR: In this article, the authors conduct explicit solvent atomistic simulations of functionalized gold nanoparticles and show that functionalization can be achieved with nuclear magnetic resonance (NMR) analysis of the nanoparticles.
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Cytotoxic Effect of Graphene Oxide Nanoribbons on Escherichia coli.

TL;DR: In this paper, the authors investigated the cytotoxic effect of graphene oxide nanoribbons (GORs) on Escherichia coli (E. coli) in an in vitro method and found that GORs stimulated E. coli to secrete reactive oxygen species, which then oxidized and damaged the bacterial cell membrane.
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Interactions of the Aβ(1-42) Peptide with Boron Nitride Nanoparticles of Varying Curvature in an Aqueous Medium: Different Pathways to Inhibit β-Sheet Formation.

TL;DR: In this article, the authors investigated the interactions of the Aβ(1-42) peptide with boron nitride nanoparticles and the effects of the latter on conformational transitions of the peptide through a series of molecular dynamics simulations.
Journal ArticleDOI

Graphene oxide-modified hydroxyapatite nanocomposites in biomedical applications: A review

TL;DR: This review focusses upon the development of graphene oxide – hydroxyapatite (HA) nanocomposites as potential coating materials that can provide a solution to the rejection of implants.
Book ChapterDOI

Antimicrobial Activities of Graphene–Polymer Nanocomposites

TL;DR: A detailed review of the recent developments in antibacterial activities of graphene-polymer nanocomposites can be found in this paper, where a wide variety of GPNs have been developed and tested with the aim of combining the advantages of graphene and polymers toward effective antibacterial applications.
References
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TL;DR: This review analyzes recent trends in graphene research and applications, and attempts to identify future directions in which the field is likely to develop.
Journal ArticleDOI

Toxic Potential of Materials at the Nanolevel

TL;DR: The establishment of principles and test procedures to ensure safe manufacture and use of nanomaterials in the marketplace is urgently required and achievable.
Journal ArticleDOI

Quantum Dots for Live Cells, in Vivo Imaging, and Diagnostics

TL;DR: The new generations of qdots have far-reaching potential for the study of intracellular processes at the single-molecule level, high-resolution cellular imaging, long-term in vivo observation of cell trafficking, tumor targeting, and diagnostics.
Journal ArticleDOI

Understanding biophysicochemical interactions at the nano–bio interface

TL;DR: Probing the various interfaces of nanoparticle/biological interfaces allows the development of predictive relationships between structure and activity that are determined by nanomaterial properties such as size, shape, surface chemistry, roughness and surface coatings.
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