ArticleScientific reports2024
Engineering amphiphilic alkenyl lipids for self-assembly in functional hybrid nanostructures.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
Corrections and comments
- Erratum issued
Authors and funding
5 authors.
Funding
Abstract
The development of biocompatible hybrid nanosystems for advanced functional applications presents significant challenges to the research community. Key obstacles include the poor solubility of these nanosystems in water and the difficulty of precisely controlling their nanostructure dimensions and composition. A promising approach to overcoming these challenges is the self-assembly of surfactant-based building blocks into well-ordered hybrid nanostructures. In this study, we explore the relationship between structure and self-assembly in novel low molecular weight amphiphilic molecules to produce stable and biocompatible hybrid nanostructures. We investigated the self-assembly behavior of two families of amphiphiles derived from alkenyl lipids with one or two double bonds, leading to distinct hybrid supramolecular structures facilitated by the incorporation of hydrophobic iron oxide nanoparticles (IONPs) as templates. The presence of double bonds in the lipid tail and the morphology of the amphiphile influence the arrangement on the hydrophobic NPs. Amphiphiles with a single double bond in the lipid tail form highly water-soluble, well-ordered micellar-like structures on the IONP surfaces, while those with two double bonds create disordered lipid nanoparticles. Furthermore, these amphiphilic molecules can self-organize into higher-order hybrid supramolecular structures, such as vesicles, with potential applications in magnetic resonance imaging (MRI).
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