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利用COSMO-RS筛选用于捕获CO的深层共熔溶剂。

Screening Deep Eutectic Solvents for CO Capture With COSMO-RS.

作者信息

Liu Yanrong, Yu Hang, Sun Yunhao, Zeng Shaojuan, Zhang Xiangping, Nie Yi, Zhang Suojiang, Ji Xiaoyan

机构信息

Energy Engineering, Division of Energy Science, Luleå University of Technology, Luleå, Sweden.

State Key Laboratory of Material-Oriented Chemical Engineering, Nanjing Tech University, Nanjing, China.

出版信息

Front Chem. 2020 Feb 13;8:82. doi: 10.3389/fchem.2020.00082. eCollection 2020.

Abstract

In this work, 502 experimental data for CO solubilities and 132 for Henry's constants of CO in DESs were comprehensively summarized from literatures and used for further verification and development of COSMO-RS. Large systematic deviations of 62. 2, 59.6, 63.0, and 59.1% for the logarithmic CO solubilities in the DESs (1:2, 1:3, 1:4, 1:5), respectively, were observed for the prediction with the original COSMO-RS, while the predicted Henry's constants of CO in the DESs (1:1.5, 1:2, 1:3, 1:4, 1:5) at temperatures ranging of 293.15-333.15 K are more accurate than the predicted CO solubility with the original COSMO-RS. To improve the performance of COSMO-RS, 502 data points of CO solubility in the DESs (1:2, 1:3, 1:4, 1:5) were used for correcting COSMO-RS with a temperature-pressure dependent parameter, and the CO solubility in the DES (1:6) was predicted to further verify the performance of the corrected model. The results indicate that the corrected COSMO-RS can significantly improve the model performance with the ARDs decreasing down to 6.5, 4.8, 6.5, and 4.5% for the DESs (1:2, 1:3, 1:4, and 1:5), respectively, and the corrected COSMO-RS with the universal parameters can be used to predict the CO solubility in DESs with different mole ratios, for example, for the DES (1:6), the corrected COSMO-RS significantly improves the prediction with an ARD of 10.3% that is much lower than 78.2% provided by the original COSMO-RS. Additionally, the result from COSMO-RS shows that the σ-profiles can reflect the strength of molecular interactions between an HBA (or HBD) and CO, determining the CO solubility, and the dominant interactions for CO capture in DESs are the H-bond and Van der Waals force, followed by the misfit based on the analysis of the predicted excess enthalpies.

摘要

在这项工作中,从文献中全面总结了502个CO在离子液体中的溶解度实验数据以及132个CO在离子液体中的亨利常数实验数据,并用于进一步验证和改进COSMO-RS模型。使用原始COSMO-RS模型预测时,离子液体(1:2、1:3、1:4、1:5)中CO溶解度对数的系统偏差分别高达62.2%、59.6%、63.0%和59.1%,而在293.15 - 333.15 K温度范围内,原始COSMO-RS模型预测离子液体(1:1.5、1:2、1:3、1:4、1:中的CO亨利常数比预测CO溶解度更为准确。为了提高COSMO-RS模型的性能,利用502个CO在离子液体(1:2、1:3、1:4、1:5)中的溶解度数据点,通过一个与温度-压力相关的参数对COSMO-RS模型进行校正,并预测了CO在离子液体(1:6)中的溶解度,以进一步验证校正后模型的性能。结果表明,校正后的COSMO-RS模型能显著提高模型性能,离子液体(1:2、1:3、1:4和1:5)的平均相对偏差分别降至6.5%、4.8%、6.5%和4.5%,并且具有通用参数的校正COSMO-RS模型可用于预测不同摩尔比离子液体中的CO溶解度,例如对于离子液体(1:6),校正后的COSMO-RS模型显著提高了预测精度,平均相对偏差为10.3%,远低于原始COSMO-RS模型的78.2%。此外,COSMO-RS模型的结果表明,σ-轮廓可以反映氢键受体(或氢键供体)与CO之间分子相互作用的强度,从而决定CO的溶解度,并且基于预测的超额焓分析,离子液体中捕获CO的主要相互作用是氢键和范德华力,其次是失配作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e40a/7031488/818e225ecd7e/fchem-08-00082-g0008.jpg

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