Improving RNA delivery using adjustable lipid nanoparticles with help from microfluidics and machine learning

Ionizable lipid nanoparticles (iLNPs) enable precise delivery of nucleic acids but face challenges in clinical translation.

• Batch-to-batch variability and complex lipid-RNA interactions hinder iLNP development.
• Advanced microfluidic technologies provide precise control over iLNP fabrication.
• Different mixing technologies, such as hydrodynamic flow focusing and staggered herringbone mixers, influence particle size, polydispersity index, and encapsulation efficiency.
• Integrating design-of-experiments methodologies and computational fluid dynamics modeling supports predictive formulation design.
• Machine learning-assisted optimization may enhance reproducibility and scalability in iLNP production.

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