三维分散系统与纳米和微粒子的混合物:光学表征

IF 0.2 Q4 PHYSICS, MULTIDISCIPLINARY
Alexandra G. Bezrukova, Olga L. Vlasova
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引用次数: 3

摘要

通过将系统特征表示为光学参数的n维向量(nd向量),对纳米和/或微粒子(3D分散系统、分散体、胶体、系综)系统的同时光学数据进行多参数分析,有助于阐明系统中粒子状态的变化。在本文中,通过分散混合物的例子说明了nd载体方法的应用:流感病毒颗粒与白蛋白的混合物(作为疫苗生产过程中分散的模型);大肠杆菌和粘土分散体的混合物(如天然水模型)。该方法可作为混合工艺过程管理的在线控制平台。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mixtures of 3D disperse systems with nano- and micro-particles: Optical characterization

Multiparameter analysis of simultaneous optical data for systems of nano- and/or micro-particles (3D disperse systems, dispersions, colloids, ensembles) by presentation of system characteristics as N-dimensional vectors of optical parameters (ND-vectors) can help to elucidate changes in the state of the particles in systems. In this paper, the application of the ND-vector approach is shown on the examples of dispersion mixtures: a mixture of influenza virus particles with albumin proteins (as a model of dispersions at the process of vaccine production); a mixture of coli bacillus and clay dispersions (as natural water model). This approach can serve as an on-line control platform for the management of technological processes with mixtures.

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