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Prediction of the Solubility in Supercritical Carbon Dioxide: a Hybrid Thermodynamic/QSPR Approach

机译:超临界二氧化碳中溶解度的预测:杂交热力学/ QSPR方法

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Numerous studies are devoted to the experimental investigation of equilibria in supercritical fluids (SCFs), in particular to the problem of solubility. However, prediction of the solubility entirely based on molecular structure still remains challenging. The aim of this contribution is two-fold. First, we present a compendium of solubility data for high-boiling point compounds in supercritical carbon dioxide and its mixtures with modifiers. Literature data from late 70s till present were collected from more than 300 original publications (ca. 600 compounds, more than 20,000 experimental points). The data are organized in a database that offers diverse functionality. Second, we exemplify the usage of the database by prediction of the solubility employing two models, semi-empirical Chrastil model and more physically sound regular solution model. Both models ultimately require empirical parameters which were related to the molecular structure of the solute (quantitative structure -property relationship, QSPR). Presented hybrid thermodynamic/QSPR approach allows to exceed the limits of the experimental data and to predict the solubility at given pressure and temperature based entirely on molecular structure.
机译:许多研究致力于超临界流体(SCFS)的均衡的实验研究,特别是溶解度问题。然而,完全基于分子结构的溶解度的预测仍然仍然具有挑战性。这种贡献的目的是两倍。首先,我们介绍了超临界二氧化碳中的高沸点化合物的溶解性数据的汇编及其与改性剂的混合物。从70年代后期到达的文献数据从300多个原始出版物(约300种化合物,超过20,000个实验点)收集。数据在提供不同功能的数据库中组织。其次,我们通过预测采用两种模型,半经验Chrastil Model和更物理声音常规解决方案模型的溶解度来举例说明数据库的使用。两种型号最终需要与溶质的分子结构有关的经验参数(定量结构 - QSPR)。呈现的混合热力/ QSPR方法允许超出实验数据的极限,并在给定压力和温度上完全基于分子结构来预测溶解度。

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