化学
纳米粒子跟踪分析
布朗运动
扩散
动态光散射
纳米技术
纳米颗粒
散射
光散射
生物物理学
微泡
生物系统
小泡
细胞外小泡
光学
物理
小RNA
材料科学
细胞生物学
生物化学
量子力学
膜
生物
基因
热力学
作者
Nebras Ahmed Mohamed,Zhuo Wang,Qiao Liu,Pu Chen,Xuantao Su
标识
DOI:10.1021/acs.analchem.3c05889
摘要
Small extracellular vesicles (sEVs) are heterogeneous biological nanoparticles (NPs) with wide biomedicine applications. Tracking individual nanoscale sEVs can reveal information that conventional microscopic methods may lack, especially in cellular microenvironments. This usually requires biolabeling to identify single sEVs. Here, we developed a light scattering imaging method based on dark-field technology for label-free nanoparticle diffusion analysis (NDA). Compared with nanoparticle tracking analysis (NTA), our method was shown to determine the diffusion probabilities of a single NP. It was demonstrated that accurate size determination of NPs of 41 and 120 nm in diameter is achieved by purified Brownian motion (pBM), without or within the cell microenvironments. Our pBM method was also shown to obtain a consistent size estimation of the normal and cancerous plasma-derived sEVs without and within cell microenvironments, while cancerous plasma-derived sEVs are statistically smaller than normal ones. Moreover, we showed that the velocity and diffusion coefficient are key parameters for determining the diffusion types of the NPs and sEVs in a cancerous cell microenvironment. Our light scattering-based NDA and pBM methods can be used for size determination of NPs, even in cell microenvironments, and also provide a tool that may be used to analyze sEVs for many biomedical applications.
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