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Título
Predicting the solubility of solids in supercritical carbon dioxide using the Chrastil equation with parameters estimated from a group contribution method
Autor(es)
Palabras clave
Supercritical carbon dioxide
Solubility
Prediction
Fecha de publicación
2024
Editor
Elsevier
Citación
Clara García-Samino, Eva Martín del Valle, Antonio Tabernero, Predicting the solubility of solids in supercritical carbon dioxide using the Chrastil equation with parameters estimated from a group contribution method, Journal of Molecular Liquids, Volume 403, 2024, 124890, ISSN 0167-7322, https://doi.org/10.1016/j.molliq.2024.124890. (https://www.sciencedirect.com/science/article/pii/S0167732224009462)
Resumen
[EN]Predicting the solubility of a solid in supercritical carbon dioxide (scCO2) can be useful for many applications.
However, an accurate prediction is extremely difficult since current methods require knowledge about the
properties of the solid in question or lengthy computational calculations and often yield significant deviations.
Here, a new approach is proposed that allows the solubility of any solid in supercritical carbon dioxide to be
rapidly predicted based solely on the structural formula of the solute. This approach is based on the prediction of
Chrastil’s parameters using group contribution methods (GCMs) followed by their use in Chrastil’s equation. For
this purpose, group contribution methods to estimate Chrastil’s parameters were developed using more than
6000 experimental data points from 210 solids. These parameters were used to predict the solubility data of 30
solids (around 1300 experimental points) in pure scCO2 with Chrastil’s equation, obtaining a relatively accurate
fit for 70 % of the experimental points. The average absolute relative deviation was 51.22 % (less than 8.31 ⋅
10 4 in absolute deviation), while the logarithmic deviation was 10.83 %. The deviations obtained were substantially
lower than other estimations proposed in the literature. This methodology is easily extended, faster,
and more accurate than other methods and does not require the use of computational methods or the estimation
of solid properties. Moreover, new ways to predict the solubility of solids in supercritical carbon dioxide can be
developed in the future based on this methodology.
URI
ISSN
0167-7322
DOI
10.1016/j.molliq.2024.124890
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