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Julian Stirling; Ioannis Lekkas; Adam Sweetman; Predrag Djuranovic; Quanmin Guo; Brian Pauw; Josef Granwehr; Raphaël Lévy; Philip Moriarty
Publisher: Public Library of Science (PLoS)
Journal: PLoS ONE
Languages: English
Types: Article
Subjects: Research Article, Biology and Life Sciences, Computer and Information Sciences, Materials Science, Engineering and Technology, Nanomaterials, Medicine, Materials Characterization, Materials Design, Q, R, Physical Sciences, Physics - Data Analysis, Statistics and Probability, Control Systems, Science, Nanotechnology, Condensed Matter - Materials Science, Biophysics, Bionanotechnology, Systems Science, Control Engineering
There is now a significant body of literature which reports that stripes form in the ligand shell of suitably functionalised Au nanoparticles. This stripe morphology has been proposed to strongly affect the physicochemical and biochemical properties of the particles. We critique the published evidence for striped nanoparticles in detail, with a particular focus on the interpretation of scanning tunnelling microscopy (STM) data (as this is the only technique which ostensibly provides direct evidence for the presence of stripes). Through a combination of an exhaustive re-analysis of the original data, in addition to new experimental measurements of a simple control sample comprising entirely unfunctionalised particles, we show that all of the STM evidence for striped nanoparticles published to date can instead be explained by a combination of well-known instrumental artefacts, or by issues with data acquisition/analysis protocols. We also critically re-examine the evidence for the presence of ligand stripes which has been claimed to have been found from transmission electron microscopy, nuclear magnetic resonance spectroscopy, small angle neutron scattering experiments, and computer simulations. Although these data can indeed be interpreted in terms of stripe formation, we show that the reported results can alternatively be explained as arising from a combination of instrumental artefacts and inadequate data analysis techniques.

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