石墨烯
堆积
纳米技术
药物输送
手性(物理)
量子点
材料科学
小泡
细胞外小泡
药品
脂质双层
生物物理学
化学
膜
生物化学
有机化学
药理学
细胞生物学
物理
生物
量子力学
手征对称破缺
Nambu–Jona Lasinio模型
夸克
作者
Youwen Zhang,Gaeun Kim,Yini Zhu,Ceming Wang,Runyao Zhu,Xin Lü,Hsueh‐Chia Chang,Yichun Wang
出处
期刊:ACS Nano
[American Chemical Society]
日期:2023-05-01
卷期号:17 (11): 10191-10205
被引量:54
标识
DOI:10.1021/acsnano.3c00305
摘要
As nanoscale extracellular vesicles secreted by cells, small extracellular vesicles (sEVs) have enormous potential as safe and effective vehicles to deliver drugs into lesion locations. Despite promising advances with sEV-based drug delivery systems, there are still challenges to drug loading into sEVs, which hinder the clinical applications of sEVs. Herein, we report an exogenous drug-agnostic chiral graphene quantum dots (GQDs) sEV-loading platform, based on chirality matching with the sEV lipid bilayer. Both hydrophobic and hydrophilic chemical and biological drugs can be functionalized or adsorbed onto GQDs by π-π stacking and van der Waals interactions. By tuning the ligands and GQD size to optimize its chirality, we demonstrate drug loading efficiency of 66.3% and 64.1% for doxorubicin and siRNA, which is significantly higher than other reported sEV loading techniques.
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