Department of Agricultural and Biological Engineering, Purdue University, 225 S. University St., West Lafayette, IN 47907, USA.
Department of Mechanical Engineering, Purdue University, 585 Purdue Mall, West Lafayette, IN 47907, USA.
J Colloid Interface Sci. 2025 Jan 15;678(Pt A):98-107. doi: 10.1016/j.jcis.2024.08.150. Epub 2024 Aug 22.
Lipid nanoparticle self-assembly is a complex process that relies on ion pairing between nucleic acids and hydrophobic cationic lipid counterions for encapsulation. The chemical factors influencing this process, such as formulation composition, have been the focus of recent research. However, the physical factors, particularly the mixing protocol, which directly modulates these chemical factors, have yet to be mechanistically examined using a reproducible mixing platform comparable to the industry standard. We here utilize Flash NanoPrecipitation (FNP), a scalable rapid mixing platform, to isolate and systematically investigate how mixing factors influence this complexation step, first by using a model polyelectrolyte-surfactant system and then generalizing to a typical RNA lipid nanoparticle formulation.
Aqueous polystyrene sulfonate (PSS) and cetrimonium bromide (CTAB) solutions are rapidly homogenized using reproducible FNP mixing and controlled flow rates at different stoichiometric ratios and total solids concentrations to form polyelectrolyte-surfactant complexes (PESCs). Then, key mixing factors such as total flow rate, inlet stream relative volumetric flow rate, and magnitude of flow fluctuation are studied using both this PESC system and an RNA lipid nanoparticle formulation.
Fluctuations in flow as low as ± 5 % of the total flow rate are found to severely compromise PESC formation. This result is replicated in the RNA lipid nanoparticle system, which exhibited significant differences in size (132.7 nm vs. 75.6 nm) and RNA encapsulation efficiency (34.0 % vs. 82.8 %) under fluctuating vs. steady flow. We explain these results in light of the chemical variables isolated and studied; slow or nonuniform mixing generates localized concentration gradients that disrupt the balance between the hydrophobic and electrostatic forces that drive complex formation. These experiments contribute to our understanding of the complexation stage of lipid nanoparticle formation and provide practical insights into the importance of developing controlled mixing protocols in industry.
脂质纳米颗粒的自组装是一个复杂的过程,依赖于核酸与疏水性阳离子脂质反离子之间的离子配对来进行封装。影响这个过程的化学因素,如配方组成,一直是最近研究的焦点。然而,物理因素,特别是直接调节这些化学因素的混合方案,尚未使用可与行业标准相媲美的可重复混合平台从机械上进行检查。我们在这里利用 Flash NanoPrecipitation(FNP),一种可扩展的快速混合平台,来分离并系统地研究混合因素如何影响这个复杂步骤,首先使用模型聚电解质-表面活性剂系统,然后推广到典型的 RNA 脂质纳米颗粒配方。
在不同的化学计量比和总固体浓度下,通过可重复的 FNP 混合和受控的流速,快速均匀地混合水溶液中的聚苯乙烯磺酸钠(PSS)和十六烷基三甲基溴化铵(CTAB)溶液,以形成聚电解质-表面活性剂复合物(PESCs)。然后,使用这个 PESC 系统和 RNA 脂质纳米颗粒配方研究了关键的混合因素,如总流速、入口流相对体积流速和流速波动幅度。
发现流速波动低至总流速的±5%,就会严重影响 PESC 的形成。这一结果在 RNA 脂质纳米颗粒系统中得到了复制,该系统在波动和稳定流条件下表现出显著的差异,粒径(132.7nm 与 75.6nm)和 RNA 包封效率(34.0%与 82.8%)。我们根据分离和研究的化学变量解释了这些结果;缓慢或不均匀的混合会产生局部浓度梯度,破坏驱动复合物形成的疏水和静电力之间的平衡。这些实验有助于我们理解脂质纳米颗粒形成的复合物阶段,并为在工业中开发受控混合方案提供了实际的见解。