Go with the flow- High resolution lipid nanoparticle metrology

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Davidson, Callum G. and Abdulrahman, Rand and Punnabhum, Panida and Perrie, Yvonne and Rattray, Zahra (2023) Go with the flow- High resolution lipid nanoparticle metrology. In: European Platform for Technology Network on Nanomedicine 2023 Meeting, 2023-06-19 - 2023-06-22, University of Liverpool.

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Abstract

Asymmetric-Flow Field Flow Fraction (AF4) is a rapidly growing analytical technique for the separation and in-line analysis of RNA-loaded lipid nanoparticles (RNA-LNPs). This high resolution, robust technique will facilitate the clinical translation of new RNA-LNP formulations by evaluating nanoparticle critical quality attributes (CQAs) and enhance the knowledge between RNA-LNP design, manufacture, and associated physical chemical properties [1]. The use of high-resolution analytical techniques can bridge existing knowledge gaps and accelerate the successful clinical translation of RNA-LNP therapies. The aim of this work was to develop a method for the characterization of RNA-LNPs using Frit Inlet (FI) AF4-Multi angle light scattering (MALS)-UV to determine LNP particle size distribution.

ORCID iDs

Davidson, Callum G. ORCID logoORCID: https://orcid.org/0009-0003-8736-9918, Abdulrahman, Rand, Punnabhum, Panida, Perrie, Yvonne and Rattray, Zahra ORCID logoORCID: https://orcid.org/0000-0002-8371-8549;
CORE (COnnecting REpositories)