Liquid–Liquid Equilibrium for Ternary Systems of 1,3-Propanediol, 1-Nonanol and Different Extractants at 298.2 K and 101.3 kPa

• Published in: Journal of solution chemistry Vol. 52; no. 2; pp. 187 - 200
• Main Authors: Yu, Yingmin, Yi, Lingxiao, Geng, Tongjing, Yan, Houchun, Guo, Hongyue, Li, Min, Wei, Jiajun
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.02.2023; Springer Nature B.V
• Subjects: Chemistry; Chemistry and Materials Science; Condensed Matter Physics; Consistency; Correlation; Deviation; Empirical equations; Geochemistry; Graphical user interface; Industrial Chemistry/Chemical Engineering; Inorganic Chemistry; Liquid-liquid equilibrium; Oceanography; Parameters; Physical Chemistry; Selectivity; Ternary systems; Thermodynamic models; Xylene; UNIQUAC; NRTL; 1-Nonanol; Extraction; Liquid–liquid equilibrium; 1,3-Propanediol
• ISSN: 0095-9782; 1572-8927
• DOI: 10.1007/s10953-022-01225-4

The liquid–liquid equilibrium (LLE) data for 1,3-propanediol + 1-nonanol + extractants (1,2-xylene, 1-chlorobutane, isopropyl ether and water) were measured at 298.2 K and 101.3 kPa. The separation efficiency of the extractant for the mixture of 1,3-propanediol and 1-nonanol was evaluated by the distribution constant ( D ) and selectivity ( S ). Meanwhile, the empirical equations of Bachman and Othmer-Tobias verified the consistency of the experimental data, and the squares of its linear correlation are all greater than 0.98. The thermodynamic models NRTL and UNIQUAC were used to correlate the experimental data, and different model parameters were obtained by regression. After comparing the calculated values of the model with the experimental data, it is found that the root means square deviation (RMSD%) and absolute mean deviation (AAD%) are less than 0.97% and 0.60% respectively, which indicate that both models have a reasonable correlation with the experimental data of the ternary system and can accurately predict the experimental data. Finally, the graphical user interface (GUI) was used to verify that the regression parameters have a good consistency.