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Correlating and predicting the solubilities of structurally similar organic solid compounds in supercritical CO_2 using the compressed gas model and the reference solubilites

机译:使用压缩气体模型和参考溶解物关联和预测结构相似的有机固体化合物在超临界CO_2中的溶解度

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摘要

In this paper, the solubilities of some structurally similar organic solid compounds namely 9,10-anthraquinone derivatives, thioxanthone derivatives, pyrazolones and steroids were correlated and predicted using the compressed gas model combined with the Carnahan-Starling-van der Waals equation of state (CS-VDW EoS) and the Peng-Robinson equation of state (PR EoS), respectively. To avoid using the sublimation pressure of the solute and reduce the applied pressure range of the corresponding equation of state, a solubility datum was used as the reference solubility in the compressed gas model. By introducing the reference solubility, the simple van der Waals one-parameter (VDW1) mixing rules can be used for the supercritical solutions and the calculated solubilities are not sensitive to the binary parameter in the compressed gas model. So in solubility prediction, the binary parameter in the compressed gas model can be set constant for a series structurally similar organic compound. The prediction results showed that the compressed gas model combined with the CS-VDW EoS-VDW1 provide better prediction (average absolute relative deviations, AARD. =. 18.41%) for the compounds with similar structure and without intermolecular hydrogen bond. For the compounds with larger structural differences, the compressed gas model combined with the PR EoS-VDW1 is recommended. However, for the compounds with intermolecular hydrogen bond, neither of the two EoS can provide satisfactory prediction results.
机译:在本文中,使用压缩气体模型结合Carnahan-Starling-van der Waals状态方程( CS-VDW EoS)和Peng-Robinson状态方程(PR EoS)。为了避免使用溶质的升华压力并减小相应状态方程的施加压力范围,在压缩气体模型中将溶解度数据用作参考溶解度。通过引入参考溶解度,可以将简单的范德华一参数(VDW1)混合规则用于超临界溶液,并且计算出的溶解度对压缩气体模型中的二元参数不敏感。因此,在溶解度预测中,对于一系列结构相似的有机化合物,可以将压缩气体模型中的二元参数设置为常数。预测结果表明,压缩气体模型与CS-VDW EoS-VDW1结合可以为具有相似结构且没有分子间氢键的化合物提供更好的预测(平均绝对相对偏差,AARD。= 18.41%)。对于结构差异较大的化合物,建议将压缩气体模型与PR EoS-VDW1结合使用。但是,对于具有分子间氢键的化合物,两种EoS均不能提供令人满意的预测结果。

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