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Title
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Quantitative 3D structural analysis of small colloidal assemblies under native conditions by liquid-cell fast electron tomography
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Author
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Abstract
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| Electron tomography has become a commonly used tool to investigate the three-dimensional (3D) structure of nanomaterials, including colloidal nanoparticle assemblies. However, electron microscopy is typically done under high-vacuum conditions, requiring sample preparation for assemblies obtained by wet colloid chemistry methods. This involves solvent evaporation and deposition on a solid support, which consistently alters the nanoparticle organization. Here, we suggest using electron tomography to study nanoparticle assemblies in their original colloidal liquid environment. To address the challenges related to electron tomography in liquid, we devise a method that combines fast data acquisition in a commercial liquid-cell with a dedicated alignment and reconstruction workflow. We present the advantages of this methodology in accurately characterizing two different systems. 3D reconstructions of assemblies comprising polystyrene-capped Au nanoparticles encapsulated in polymeric shells reveal less compact and more distorted configurations for experiments performed in a liquid medium compared to their dried counterparts. A similar expansion can be observed in quantitative analysis of the surface-to-surface distances of self-assembled Au nanorods in water rather than in a vacuum, in agreement with bulk measurements. This study, therefore, emphasizes the importance of developing high-resolution characterization tools that preserve the native environment of colloidal nanostructures. Drying force-induced deformation complicates the characterization of the 3D structure of colloidal assemblies. Here, the authors develop a liquid electron tomography method for unravelling the 3D structures of small colloidal assemblies under native conditions. |
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Language
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English
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Source (journal)
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Nature communications
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Publication
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2024
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ISSN
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2041-1723
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DOI
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10.1038/S41467-024-50652-Y
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Volume/pages
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15
:1
(2024)
, p. 1-13
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Article Reference
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6399
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ISI
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001281271000020
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Pubmed ID
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39080248
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Medium
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E-only publicatie
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Full text (Publisher's DOI)
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Full text (open access)
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