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

IF 1.2 4区 综合性期刊 Q3 MULTIDISCIPLINARY SCIENCES
Jia Zheng, Huijuan Jiang, Junqi Huang, Qiaoxia Liu, Hongyuan Hao
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引用次数: 0

Abstract

This article presents a method for the analysis of lipid nanoparticle (LNP) components. LNP, serving as a pivotal vector for RNA-based drugs, primarily consists of cholesterol, PEG with modifications, ionizable lipids, and helper lipids. These components exhibit weak polarity, leading to strong retention and difficulty in separation using reverse-phase chromatography, as well as lacking distinct ultraviolet absorption characteristics. In order to address this challenge, a liquid chromatography system was coupled with an evaporative light-scattering detector (ELSD). By systematically adjusting the type of chromatographic column and optimizing the gradient elution program of the mobile phase, rapid and complete baseline separation of the four critical components was accomplished. Utilizing the latest ELSD technology enhanced detection sensitivity significantly and expanded the linear range of the method. Experimental results demonstrated that within a concentration range of 5 µg/mL to 250 µg/mL, the four components of LNP displayed excellent linearity with correlation coefficients all greater than 0.999, and the accuracy ranged from 94.2% to 108.0%. In precision experiments, the relative standard deviations of both retention time and peak area for a 10 µg/mL standard solution were below 0.1% and 2%, respectively. When using this method to analyze different LNP samples, all components are successfully separated, and their respective contents are accurately quantified, highlighting the robust adaptability of this analytical approach.

液相色谱结合蒸发光散射检测器测定脂质纳米颗粒RNA递送系统中的四种组分。
本文介绍了一种分析脂质纳米颗粒(LNP)成分的方法。LNP作为rna药物的关键载体,主要由胆固醇、PEG修饰、可电离脂质和辅助脂质组成。这些成分极性较弱,导致保留性强,反相色谱分离困难,并且缺乏明显的紫外线吸收特性。为了解决这一难题,我们将液相色谱系统与蒸发光散射检测器(ELSD)相结合。通过系统调整色谱柱类型和优化流动相梯度洗脱程序,实现了四种关键组分的快速、完全的基线分离。利用最新的ELSD技术,大大提高了检测灵敏度,扩大了方法的线性范围。实验结果表明,在5µg/mL ~ 250µg/mL的浓度范围内,LNP的4个组分均具有良好的线性关系,相关系数均大于0.999,准确度为94.2% ~ 108.0%。在精密度实验中,10µg/mL标准溶液的保留时间和峰面积的相对标准偏差分别小于0.1%和2%。使用该方法对不同LNP样品进行分析时,所有组分均成功分离,并准确定量各自含量,突出了该分析方法的鲁棒适应性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Jove-Journal of Visualized Experiments
Jove-Journal of Visualized Experiments MULTIDISCIPLINARY SCIENCES-
CiteScore
2.10
自引率
0.00%
发文量
992
期刊介绍: JoVE, the Journal of Visualized Experiments, is the world''s first peer reviewed scientific video journal. Established in 2006, JoVE is devoted to publishing scientific research in a visual format to help researchers overcome two of the biggest challenges facing the scientific research community today; poor reproducibility and the time and labor intensive nature of learning new experimental techniques.
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