Asymmetric-flow field-flow fractionation for measuring particle size, drug loading and (in)stability of nanopharmaceuticals. The joint view of European Union Nanomedicine Characterization Laboratory and National Cancer Institute - Nanotechnology Characterization Laboratory

纳米医学 表征(材料科学) 场流分馏 纳米技术 分散性 化学 设计质量 粒径 计算机科学 工艺工程 纳米颗粒 工程类 材料科学 分馏 色谱法 有机化学 物理化学
作者
Fanny Caputo,Dóra Méhn,Jeffrey D. Clogston,Matthias Rösslein,Adriele Prina‐Mello,Sven Even Borgos,Sabrina Gioria,Luigi Calzolai
出处
期刊:Journal of Chromatography A [Elsevier BV]
卷期号:1635: 461767-461767 被引量:65
标识
DOI:10.1016/j.chroma.2020.461767
摘要

Asymmetric-flow field-flow fractionation (AF4) has been recognized as an invaluable tool for the characterisation of particle size, polydispersity, drug loading and stability of nanopharmaceuticals. However, the application of robust and high quality standard operating procedures (SOPs) is critical for accurate measurements, especially as these complex drug nanoformulations are most often inherently polydisperse. In this review we describe a unique international collaboration that lead to the development of a robust SOP for the measurement of physical-chemical properties of nanopharmaceuticals by multi-detector AF4 (MD-AF4) involving two state of the art infrastructures in the field of nanomedicine, the European Union Nanomedicine Characterization Laboratory (EUNCL) and the National Cancer Institute-Nanotechnology Characterisation Laboratory (NCI-NCL). We present examples of how MD-AF4 has been used for the analysis of key quality attributes, such as particle size, shape, drug loading and stability of complex nanomedicine formulations. The results highlight that MD-AF4 is a very versatile analytical technique to obtain critical information on a material particle size distribution, polydispersity and qualitative information on drug loading. The ability to conduct analysis in complex physiological matrices is an additional very important advantage of MD-AF4 over many other analytical techniques used in the field for stability studies. Overall, the joint NCI-NCL/EUNCL experience demonstrates the ability to implement a powerful and highly complex analytical technique such as MD-AF4 to the demanding quality standards set by the regulatory authorities for the pre-clinical safety characterization of nanomedicines.
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
yan1994完成签到,获得积分10
刚刚
锕萌424完成签到 ,获得积分10
刚刚
2秒前
Janus发布了新的文献求助10
2秒前
2秒前
3秒前
4秒前
田様的应助被justin采纳,获得10
4秒前
SciGPT的应助被卡卡采纳,获得10
4秒前
泡芙小姐发布了新的文献求助10
4秒前
4秒前
Nole的应助被12采纳,获得30
4秒前
zhou发布了新的文献求助10
5秒前
5秒前
chy发布了新的文献求助10
5秒前
6秒前
憨子吧完成签到,获得积分10
6秒前
小蘑菇的应助被Yyyyyyyyy采纳,获得10
6秒前
11完成签到,获得积分10
7秒前
7秒前
7秒前
CarryLJR发布了新的文献求助10
8秒前
文艺沛文发布了新的文献求助10
8秒前
8秒前
小绵羊发布了新的文献求助10
9秒前
allize完成签到,获得积分10
10秒前
唐11发布了新的文献求助10
11秒前
11秒前
秋风的应助被晚晚采纳,获得10
12秒前
芊儿88发布了新的文献求助10
12秒前
13秒前
zwhy579发布了新的文献求助10
13秒前
13秒前
小颜发布了新的文献求助10
13秒前
Jason完成签到,获得积分10
14秒前
科研通AI6.2的应助被我是666采纳,获得10
15秒前
科研通AI6.2的应助被我是666采纳,获得10
15秒前
科研通AI6.4的应助被我是666采纳,获得10
15秒前
科研通AI6.4的应助被我是666采纳,获得10
15秒前
科研通AI6.4的应助被我是666采纳,获得10
15秒前
高分求助中
(应助此贴封号)通过应助OA文献获取积分 10000
Rosenblum, Global Change Biology 800
Computational Chemical Reaction Engineering: Modeling, Simulation, and Design with MATLAB 600
Organizational Behavior 510
Management and the Arts 510
CLSI C56QG Examples of Hemolyzed, Icteric, and Lipemic/Turbid Samples Quick Guide 400
Encyclopedia of Geology 2nd Edition 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 计算机科学 工程类 纳米技术 内科学 物理 有机化学 化学工程 生物化学 复合材料 光电子学 细胞生物学 心理学 量子力学 催化作用 物理化学 电极
热门帖子
关注 科研通微信公众号,转发送积分 7805083
求助须知:如何正确求助?哪些是违规求助? 9338699
关于积分的说明 20492662
捐赠科研通 7397050
什么是DOI,文献DOI怎么找? 3327659
关于科研通互助平台的介绍 2474536
邀请新用户注册赠送积分活动 2345780