Isocratic And Gradient Methods For High-Throughput Separation Of Lipids Used In LNP Formulations

Lipid nanoparticles (LNPs) are vital for drug delivery, particularly in mRNA vaccines. This study focuses on developing efficient analytical methods for high-throughput analysis of LNP lipid composition using HPLC. The research explores the separation of lipids using both fully porous and core-shell phenyl-hexyl columns in isocratic and gradient modes, with acetonitrile and methanol as eluents.

The evaporative light scattering detector (ELSD) ensured high sensitivity, achieving LODs in the range of 0.8-3 µg/ml and LOQs of 0.9-4 µg/ml. The developed methods, particularly the isocratic method with a fully porous column, provide fast and sensitive analysis of LNP lipids, crucial for quality control in pharmaceutical research and production.

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