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Updated: Jun 11, 2025

Determining Four Components in a Lipid Nanoparticle RNA Delivery System by Liquid Chromatography Combined with Evaporative Light Scattering Detector

Determining Four Components in a Lipid Nanoparticle RNA Delivery System by Liquid Chromatography Combined with Evaporative Light Scattering Detector

Published on: May 30, 2025

脂质量定量的RP-CAD:系统方法开发和强化LNP过程表征.

Nicole Beckert¹, Annabelle Dietrich¹, Jürgen Hubbuch¹

¹Institute of Process Engineering in Life Sciences-Section IV: Biomolecular Separation Engineering, Karlsruhe Institute of Technology (KIT), 76131 Karlsruhe, Germany.

Pharmaceuticals (Basel, Switzerland)

|September 28, 2024

概括

一种新的逆相 (RP) 充电气溶检测 (CAD) 方法提供了全面的脂质纳米粒子 (LNP) 特性. 这种技术增强了LNP质量控制和工艺监测,识别了制造过程中的脂质偏差和损失.

关键词:

生物处理生物处理.充电式气溶检测仪强化的加剧加剧.脂质纳米颗粒的使用方法方法验证方法的验证方法.功率函数的价值值功率函数的价值逆相色谱的使用方法

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科学领域:

分析化学分析化学
生物制药制造业生物制药制造业
纳米技术纳米技术

背景情况:

脂质纳米颗粒 (LNP) 对于核酸输送至关重要,但它们的质量评估往往侧重于颗粒大小和封装效率.
需要全面的方法来描述LNP的组成和监测制造过程.
目前的LNP表征方法可能无法完全捕捉脂质含量和与工艺相关的变化.

研究的目的:

开发和验证一个整体的逆相 (RP) 充电气溶检测 (CAD) 方法用于LNP和工艺表征.
在微流体混合过程中应用RP-CAD方法来评估工艺参数,特别是总流量 (TFR).
在LNP制造过程中识别脂质偏差和损失的来源.

主要方法:

使用探索性校准开发具有优化功率函数值 (PFV) 的RP-CAD方法.
方法验证包括线性 (R2 > 0.996),精度,准确性和强度测试.
在微流体混合过程中,应用RP-CAD方法来分析在不同的TFR下LNP处理.

主要成果:

RP-CAD方法在量化六种常见的LNP脂质方面表现出卓越的线性,精度,准确性和稳定性.
分析显示,在微流体混合过程中,脂质摩尔比率是恒定的,独立于TFR.
脂质含量的偏差可以追溯到脂质库存溶液的制备,而脂质损失则归因于混合后的透析,两者都是TFR独立的.

结论:

开发的RP-CAD方法为LNP处理过程中的脂质量定量提供了一个强大的工具.
这种方法可以进行详细的LNP表征和过程性能评估.
这些发现突出了RP-CAD在优化LNP制造和质量控制方面的潜力,适用于各种LNP配方和工艺.