1. Lipid nanoparticle properties explored using online asymmetric flow field-flow fractionation coupled with small angle X-ray scattering: Beyond average characterisation.
- Author
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Börjesdotter AM, Bolinsson H, Dagø T, Herranz-Trillo F, Palmiero UC, Schagerlöf H, and Nilsson L
- Subjects
- X-Ray Diffraction methods, Microscopy, Electron, Transmission methods, Dynamic Light Scattering methods, Nanoparticles chemistry, Fractionation, Field Flow methods, Scattering, Small Angle, Particle Size, Lipids chemistry
- Abstract
This study employs asymmetric flow field-flow fractionation online coupled with small angle X-ray scattering at a synchrotron beamline, along with multiple downstream detectors, including multi-angle light scattering, dual wavelength UV and dRI. This setup enables size-resolved characterization of lipid nanoparticles, allowing for a detailed comparison between empty and cargo-loaded lipid nanoparticles intended for nucleic acid delivery. Batch-mode characterization techniques, including cryogenic transmission electron microscopy and dynamic light scattering, alongside collection of fractions for offline characterization with liquid chromatography-charged aerosol detection, allowed for determination of the particle morphology, hydrodynamic radius, and the lipid composition over the size distribution. Cargo-containing and empty lipid nanoparticles show differences in density, and loaded particles exhibit a broader size distribution and a higher frequency of blebs at the surface. Both samples consist of spherical core-shell structured particles, with no distinguishable internal structure. A pivotal finding, often assumed until now, is that the mole fraction of each individual lipid component closely matches the original formulation. This work contributes to a more detailed understanding of lipid nanoparticles, supporting their continued development and rational design in medical applications., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.)
- Published
- 2025
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