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首页> 外文期刊>Macromolecules >Computer Study of Chromatographic Separation Process: A Monte Carlo Study of H-Shaped and Linear Homopolymers in Good Solvent
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Computer Study of Chromatographic Separation Process: A Monte Carlo Study of H-Shaped and Linear Homopolymers in Good Solvent

机译:色谱分离过程的计算机研究:良好溶剂中H形和线性均聚物的蒙特卡洛研究

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摘要

The partitioning, of linear (L) and H-shaped polymers between bulk solvent and narrow pores with inert and attractive Walls and the conformational behavior of chains in pores was studied by Monte Carlo simulations. The polymer chains were modeled as self-avoiding walks in a good solvent. The concentration profiles in the pores, partition coefficients KH and KD and various structural characteristics were calculated as, functions of pore size and interaction parameter epsilon, ranging from a to -0.26. K-H is, higher than K-L in pores with nonattractive walls, but the difference decreases with increasing vertical bar epsilon vertical bar. Both partition coefficients equal for epsilon* ca. -0.2, and later their sequence inverts. epsilon* depends only slightly on chain architecture and chain length. The results are important from the experimental point of view because they show that the improperly chosen experimental conditions Can deteriorate SEC analysis of branched samples.
机译:通过蒙特卡洛模拟研究了线性溶剂(L)和H形聚合物在惰性溶剂和吸引壁之间在大体积溶剂和狭窄孔之间的分配以及孔中链的构象行为。将聚合物链建模为在良好溶剂中的自规避步道。计算孔中的浓度分布,分配系数KH和KD以及各种结构特征,作为孔径和相互作用参数ε的函数,范围为-0.26。在没有吸引力的壁孔中,K-H高于K-L,但是随着竖线epsilon竖线的增加,差异减小。两个分配系数等于ε*ca。 -0.2,然后它们的序列反转。 epsilon *仅略微取决于链的结构和链的长度。从实验的角度来看,结果是重要的,因为它们表明选择不当的实验条件会恶化分支样品的SEC分析。

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