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首页> 外文期刊>Journal of Applied Polymer Science >Multiparameter Solution Model and Evaluation of Polymer-Polymer Miscibility Using Inverse Gas Chromatography Data
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Multiparameter Solution Model and Evaluation of Polymer-Polymer Miscibility Using Inverse Gas Chromatography Data

机译:反相气相色谱数据的多参数求解模型和聚合物-聚合物混溶性评估

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摘要

Inverse gas chromatography (IGC) has been widely used to determine the Flory-Huggins parameters, X, between solutes (probes) and polymers. This study correlated the Flory-Huggins parameter data using a multiparameter model, which included dispersion, polarity, acidity, and basicity components. The parameters of poly(E-caprolactone) (PCL) and polyepichlorohydrin (PECH) were calculated from IGC data using a series of probes. The parameters of the polymers were used to evaluate mutual miscibility between PCL and PECH. The results predicted miscibility in agreement with the conclusion of an IGC study using blends of PCL and PECH. A method to estimate the confidence interval of polymer parameters was proposed. The anomalous solubility parameter of polymer mixtures previously reported was also explained using this model.
机译:反相气相色谱(IGC)已被广泛用于确定溶质(探针)和聚合物之间的Flory-Huggins参数X。这项研究使用多参数模型关联了Flory-Huggins参数数据,其中包括分散度,极性,酸度和碱性成分。聚(E-己内酯)(PCL)和聚表氯醇(PECH)的参数是使用一系列探针根据IGC数据计算得出的。聚合物的参数用于评估PCL和PECH之间的互溶性。结果预测了与PCL和PECH混合物的IGC研究结论相溶。提出了一种估计聚合物参数置信区间的方法。使用该模型还可以解释先前报道的聚合物混合物的反常溶解度参数。

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