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Size-selectivity and anomalous subdiffusion of nanoparticles through carbon nanofiber-based membranes

机译:纳米颗粒通过基于碳纳米纤维的膜的尺寸选择性和反常扩散

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摘要

A simulation is presented here that serves the dual functions of generating a nanoporousmembrane replica and executing the Brownian motion of nanoparticles through the virtual membrane. Specifically, the concentration profile of a dilute solution of fluorescent particles in a stochastic and SiO2-coated carbon nanofiber (oxCNF), nanoporous membrane was simulated. The quality of the simulated profile was determined by comparing the results with experimental concentration profiles. The experimental concentration profiles were collected adjacent to the oxCNF membrane surface from time-lapse fluorescence microscopy images. The simulation proved ideal as an accurate predictor of particle diffusion-the simulated concentration profile merged with the experimental profiles at the inlet/exit surfaces of the oxCNF membrane. In particular, the oxCNF barrier was found to hinder the transport of 50 and 100 nm particles and transmembrane trajectories were indicative of anomalous subdiffusion; the diffusion coefficient was found to be a function of time and space.
机译:此处提供了一种模拟,该模拟具有生成纳米多孔膜复制品和执行纳米粒子通过虚拟膜的布朗运动的双重功能。具体而言,模拟了随机的,SiO2包覆的碳纳米纤维(oxCNF)纳米多孔膜中荧光粉稀释溶液的浓度分布。通过将结果与实验浓度曲线进行比较来确定模拟曲线的质量。从延时荧光显微镜图像中收集邻近oxCNF膜表面的实验浓度曲线。该模拟被证明是理想的粒子扩散预测器-模拟的浓度分布与oxCNF膜入口/出口表面的实验分布合并。尤其是,发现oxCNF屏障阻碍了50和100 nm粒子的传输,跨膜的运动轨迹表明异常扩散。发现扩散系数是时间和空间的函数。

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