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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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Graphene oxides in water: Assessing stability as a function of material and natural organic matter properties

TL;DR: In this article, the aggregation kinetics of three GO material types, with varied geometries and surface chemistries (one flat and two crumpled, denoted as CGO), were investigated and compared in the presence of two salts (NaCl and CaCl2) and three model NOMs (SRHA, SRFA, and AHA)).
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Graphene-based antimicrobial nanomaterials: rational design and applications for water disinfection and microbial control

TL;DR: In this paper, a review article on the use of graphene-based antimicrobial nanomaterials for water disinfection and pathogenic microorganism control is presented, with a brief introduction of the antimicrobial characteristics of single-component graphene materials.
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Chiral Nanoparticle as a New Efficient Antimicrobial Nanoagent.

TL;DR: D-type functionalized nanoparticles can bind to MurD ligase with high affinity and inhibit its peptidoglycan synthetic enzyme activity, and finally cause bacterial killing.
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The Effects of Extensive Glomerular Filtration of Thin Graphene Oxide Sheets on Kidney Physiology

TL;DR: This study provided a previously unreported understanding of the interaction between thin GO sheets with different components of the GFB in vitro and in vivo to highlight that the glomerular excretion of significant amounts of GO did not induce any signs of acute nephrotoxicity orglomerular barrier dysfunction.
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Safety profile of two-dimensional Pd nanosheets for photothermal therapy and photoacoustic imaging

TL;DR: This work is the first to report a systematic evaluation of the influence of size of 2D nanomaterials on their bio-behaviors, and shows size significantly influences the biological behaviors of Pd nanosheets, including their photothermal and photoacoustic effects, pharmacokinetics, and toxicity.
References
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Graphene: Status and Prospects

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.
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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.
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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.
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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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