Computer simulation of particle separation based on non-equilibrium swelling.

Computer simulation of particle separation based on non-equilibrium swelling.
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基于非平衡膨胀的颗粒分离计算机模拟。

DOI:
10.1016/s0021-9673(98)00715-8
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发表时间:
1999
期刊:
Journal of chromatography. A
影响因子:
--
通讯作者:
Caldwell,KD
Caldwell,KD
中科院分区:
--
文献类型:
--
作者:
Tong,X;Caldwell,KD

文献摘要

被引文献

相似文献

空间/超层场流分级分离 (FFF) 是一种成熟的分析技术,用于分离和表征 1–100 μm 直径范围内的颗粒。分离可以基于颗粒的尺寸、密度、形状和机械性能的差异。在对中国仓鼠卵巢(CHO)细胞及其高渗透性突变体的水转运系统进行分析的过程中,首次成功尝试使用空间/超层FFF系统基于时间依赖性特性(即两种细胞类型的差异膨胀)来分离颗粒。本研究的目的是对具有不同膨胀动力学的颗粒在空间/超层 FFF 系统中的分离进行数值模拟。其目的是优化分离并建议选择操作条件以尽量减少重复实验。计算机模拟是使用符号计算环境 Maple V 开发的。结果表明,该模型能够预测使分辨率最大化的载波缓冲区的最佳速度。预测的速度/分辨率对与可用的实验数据非常一致。在此类 FFF 实验中遇到的升力的经验模型以及在使用细胞大小的颗粒时观察到的区域展宽的经验模型构成了该模型的基础。
Steric/hyperlayer field-flow fractionation (FFF) is an established analytical technique for separating and characterizing particles in the 1–100 μm diameter range. The separation can be based on differences in size, density, shape and mechanical properties of the particles. In the course of an analysis of the water transporter system of Chinese hamster ovary (CHO) cells and one of their high permeability mutants, the first successful attempt was made to use the steric/hyperlayer FFF system for the purpose of separating particles based on a time-dependent property, namely, the differential swelling of the two cell types. The present study was undertaken to simulate numerically the separation in a steric/hyperlayer FFF system of particles with different swelling kinetics. Its purpose was to optimize the separation and suggest selection of operating conditions to minimize repetitive experiments. The computer simulation was developed using Maple V, a symbolic computing environment. It is shown that the model is able to predict an optimal velocity of carrier buffer that maximizes resolution. Predicted velocity/resolution pairs are in good agreement with available experimental data. Empirical models for the lift forces encountered in such FFF experiments, and for the zone broadening observed in work with cell sized particles, form the basis for this model.