Article ID Journal Published Year Pages File Type
201052 Fluid Phase Equilibria 2014 7 Pages PDF
Abstract

•Solubility data of six 1,4-bis(alkylamino)-9,10-anthraquinones in supercritical CO2 are correlated using solution model approach.•With model simplification and generalization, a predictive solution model is proposed for solubility prediction.•The proposed predictive solution model yields average deviation in predicted solubilities of 17%.

In this study, solid solubility data of six 1,4-bis(alkylamino)-9,10-anthraquinones (AQs) in supercritical carbon dioxide (CO2) are correlated using a two-parameter solution model developed from the regular solution model coupled with the Flory–Huggins equation. This two-parameter solution model yields satisfactory correlated results comparable to those from commonly used three-parameter semi-empirical equations. The average deviation in correlated solubilities using our two-parameter solution model is about 6%. With appropriate model simplification and generalization procedure, a predictive solution model is proposed in this study for solubility prediction using the chain length of alkyl group of alkylamino side chain. The proposed predictive solution model provides acceptable predicted results and yields average deviation in predicted solubilities of 17%. In addition, the proposed predictive solution model is also employed to predict the solubility data of AQs that are not originally included in the generalization procedure. The calculated results obtained in this study demonstrate that the solution model adopted in this study is applicable for correlation and prediction of solid solubilities of structure-related compounds in supercritical CO2.

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Physical Sciences and Engineering Chemical Engineering Chemical Engineering (General)
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