Polydispersity Characterization of Lipid Nanoparticles for siRNA Delivery Using Multiple Detection Size-Exclusion Chromatography

分散性 化学 大小排阻色谱法 粒径 纳米颗粒 场流分馏 多角度光散射 表征(材料科学) 纳米技术 色谱法 分辨率(逻辑) 分馏 散射 光散射 光学 材料科学 有机化学 生物化学 物理 物理化学 人工智能 计算机科学
作者
Jingtao Zhang,Robert Haas,Anthony Leone
出处
期刊:Analytical Chemistry [American Chemical Society]
卷期号:84 (14): 6088-6096 被引量:38
标识
DOI:10.1021/ac3007768
摘要

The development of lipid nanoparticle (LNP) based small interfering RNA (siRNA) therapeutics presents unique pharmaceutical and regulatory challenges. In contrast to small molecule drugs that are highly pure and well-defined, LNP drug products can exhibit heterogeneity in size, composition, surface property, or morphology. The potential for batch heterogeneity introduces a complexity that must be confronted in order to successfully develop and ensure quality in LNP pharmaceuticals. Currently, there is a lack of scientific knowledge in the heterogeneity of LNPs as well as high-resolution techniques that permit this evaluation. This article reports a size-exclusion chromatography (SEC) method that permits the high-resolution analysis of LNP size distribution in its native solution condition. When coupled with multiple detection systems including UV-vis, multi-angle light scattering, and refractive index, on-line characterization of the distributions in size, molecular weight, and siRNA cargo loading of LNPs could be achieved. Six LNPs with sizes in the rang of 60-140 nm were evaluated and it was found that the SEC separation is efficient, highly reproducible, and can be broadly applied to a diverse range of LNPs. A comparison between the current SEC method and asymmetric field flow fractionation (FFF) shows that the current method provides similar size distribution results on LNPs compared to FFF. Two representative LNPs with similar bulk properties were evaluated in-depth using the SEC method along with two other sizing techniques-dynamic light scattering and cryo-TEM. Profound differences in batch polydispersity were observed between them. Despite the similarity in the particle assembly process, it was found that one LNP (A) possessed a narrow size and molecular weight distribution while the other (B) was polydisperse. The present results suggest that LNP drug products are highly complex and diverse in nature, and care should be taken in examining and understanding them to ensure quality and consistency. The method developed here can not only serve as a method for understanding LNP product property, permitting control on product quality, but also could serve as a potential manufacturing method for product purification. Understandings obtained in this work can help to facilitate the development of LNPs as a well-defined pharmaceutical product.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
一一发布了新的文献求助10
刚刚
CC完成签到,获得积分20
1秒前
2秒前
时生111完成签到 ,获得积分10
2秒前
kb发布了新的文献求助10
3秒前
dafwfwaf完成签到,获得积分20
3秒前
Snow完成签到 ,获得积分10
4秒前
4秒前
CC发布了新的文献求助10
4秒前
小苏打完成签到,获得积分10
5秒前
Xiaoxiao应助程琳采纳,获得10
5秒前
ycc完成签到 ,获得积分10
5秒前
畏寒的北完成签到,获得积分10
6秒前
爆米花应助单纯的雅香采纳,获得10
6秒前
俭朴的玉兰完成签到 ,获得积分10
6秒前
7秒前
7秒前
8秒前
8秒前
8秒前
adazbd发布了新的文献求助10
8秒前
Jenny应助木头人采纳,获得10
8秒前
ATAYA完成签到,获得积分10
9秒前
9秒前
畏寒的北发布了新的文献求助10
9秒前
9秒前
10秒前
地下室没有鬼完成签到 ,获得积分10
10秒前
whh123完成签到 ,获得积分10
10秒前
天天快乐应助空禅yew采纳,获得10
11秒前
在水一方应助开心采纳,获得10
12秒前
Akim应助王w采纳,获得10
12秒前
towerman发布了新的文献求助10
12秒前
畅快平蓝完成签到,获得积分10
12秒前
大棒槌发布了新的文献求助10
13秒前
13秒前
Ann完成签到,获得积分10
13秒前
今今发布了新的文献求助10
14秒前
123123完成签到 ,获得积分10
14秒前
SciGPT应助伊酒采纳,获得10
15秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527961
求助须知:如何正确求助?哪些是违规求助? 3108159
关于积分的说明 9287825
捐赠科研通 2805882
什么是DOI,文献DOI怎么找? 1540070
邀请新用户注册赠送积分活动 716926
科研通“疑难数据库(出版商)”最低求助积分说明 709808