期刊
SEPARATION AND PURIFICATION TECHNOLOGY
卷 272, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.seppur.2021.118727
关键词
Infinite dilution activity coefficients; Intermolecular interactions; Fluid separations; Open-source database
资金
- ISPT (Institute for Sustainable Process Technology) [TEEI314006/BL-20-07]
- Topsector Energy by the Dutch Ministry of Economic Affairs and Climate Policy
This study provides an open-source database with a large number of γ∞(i) data points, and utilizes the Van 't Hoff equation for data analysis and extrapolation. The γ∞(i) for five solutes in different solvents were compared, visualizing trends between solvent structure and γ∞(i).
The infinite dilution activity coefficient, gamma(infinity)(i), is a frequently used molecular descriptor to pre-select a solvent for various kinds of fluid separations. Unfortunately, information related to these coefficients is scattered throughout the open literature. Therefore, an open-source gamma(infinity)(i)-database containing 77.173 gamma(infinity)(i) data points over the temperature interval 243 K < T < 555.6 K for 268 solutes and 692 solvents is provided in the electronic supporting information of this work. Additionally, we performed an inter- and extrapolation data analysis algorithm using the Van 't Hoff equation to extend the gamma(infinity)(i) data points at 298.15 K. The gamma(infinity)(i) for five solutes (n-hexane, benzene, chloroform, acetone and ethanol) in a wide range of molecular solvents and ionic liquids (ILs) were compared. Various trends between the molecular solvent structure and the gamma(infinity)(i) are visualized, which allows for not only a pre-selection of solvents for targeted gamma(infinity)(i) but also visualizes the effect molecular modification of the solvent will have on the gamma(infinity)(i). Overall, the presented methodology is complementary to approaches using simulation software, and helps acquiring a detailed understanding of the effect of the solvent structure on the gamma(infinity)(i), which will facilitate solvent pre-selection in an early process design stage towards greener fluid separations.
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