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Thermodynamic Prediction of Polymer Retention in Temperature-Programmed HPLC

机译:程序升温HPLC中聚合物保留的热力学预测

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Temperature programming has been used increasingly in liquid chromatography in recent years. In particular, temperature gradient elution has shown great potential in the analysis of complex polymers. In this study, the polymer retention behavior in temperature gradient interaction chromatography is investigated based on thermodynamic consideration of the retention factor. The polymer retention predicted by the model calculation is in good agreement with the experimental results, and the model allows devising a temperature program for designed retention behaviors such as a linear dependence of retention volume on log(molecular weight) of polymers. In addition, the migration behavior of polymeric solute along the separation column can be simulated, which shows strong molecular weight dependence. The migration behavior is also confirmed experimentally by employing different length columns or delayed injection.
机译:近年来,温度编程已越来越多地用于液相色谱中。特别是,温度梯度洗脱在复杂聚合物的分析中显示了巨大的潜力。在这项研究中,基于保留因子的热力学考虑,研究了聚合物在温度梯度相互作用色谱中的保留行为。通过模型计算预测的聚合物保留率与实验结果非常吻合,并且该模型允许设计温度程序来设计保留行为,例如保留体积对聚合物log(分子量)的线性依赖性。另外,可以模拟聚合物溶质沿分离柱的迁移行为,这显示出很强的分子量依赖性。通过采用不同长度的色谱柱或延迟进样,实验也证实了迁移行为。

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