The choice of solvent and liquid–liquid equilibrium for ternary water+2-methylaziridine+chloroform system: Experimental data and modeling

Saien, Javad; Norouzi, Mahdi; Dehghani, Hussein

doi:10.1016/j.fluid.2012.11.018

Cited by 15 publications

(6 citation statements)

References 21 publications

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“…As shown in Table , the distribution coefficients and separation factor values for the studied systems are all greater than 1, which indicates the extraction capability of toluene to extract PODE n from aqueous phase and toluene as an ideal solvent. As shown in Figure , the distribution coefficient for the ternary LLE equilibrium systems are not constant, which is consistent with the reported research. ,, The distribution coefficient at 303.15 K is higher than at 293.15 K, indicating that the extraction capacity of the extractant increases with increasing temperature. ,, As can be seen in Figure , the separation factors decreased with the increase of the mass fraction of PODE n in aqueous phase and hence as a result of the mass fraction of water in organic phase was also increased . Meanwhile, the separation factor of four studied systems decreased with the increasing temperature and the influence of temperature on the separation factor was slight. ,− As the ratio of feed (water + PODE n ) to toluene increases, the separation capacity of the solvent decreases.…”

Section: Results and Discussionsupporting

confidence: 86%

“…28,29,36 As can be seen in Figure 11, the separation factors decreased with the increase of the mass fraction of PODE n in aqueous phase and hence as a result of the mass fraction of water in organic phase was also increased. 37 Meanwhile, the separation factor of four studied systems decreased with the increasing temperature and the influence of temperature on the separation factor was slight. 24,38−40 As the ratio of feed (water + PODE n ) to toluene increases, the separation capacity of the solvent decreases.…”

Section: Standard Uncertainty Calculationmentioning

confidence: 91%

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Experimental and Correlated Liquid–Liquid Equilibrium Data for Ternary Systems (Water + Poly(oxymethylene) Dimethyl Ethers + Toluene) at T = 293.15 and 303.15 K and p = 101.3 kPa

Cao

Nawaz

et al. 2019

J. Chem. Eng. Data

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Poly(oxymethylene) dimethyl ethers (PODE n ) are appealing additives for diesel fuels. Nowadays, the research on PODE n synthesis is crucial and essential, while the separation of PODE n from aqueous systems also has great significance for the production of PODE n in industry. In this work, ternary liquid–liquid equilibrium (LLE) data for the mixtures of (water + PODE1 + toluene), (water + PODE2 + toluene), (water + PODE3 + toluene), and (water + PODE4 + toluene) were determined at T = 293.15 and 303.15 K and p = 101.3 kPa. The consistency of experimental LLE data was evaluated by Hand and Othmer–Tobias equations. The distribution coefficients and separation factors were employed to assess the efficiency of extracting PODE1–4 from water. The experimental tie-line data of the studied systems were correlated using the Non-Random Two Liquid and Universal Quasi Chemical (UNIQUAC) activity coefficient models, while the corresponding binary interaction parameters were obtained with the results indicated that the UNIQUAC model gives a better agreement. All of the data demonstrated that toluene was an ideal extractant for separating PODE1–4 from aqueous solution.

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Section: Results and Discussionsupporting

confidence: 86%

Section: Standard Uncertainty Calculationmentioning

confidence: 91%

Experimental and Correlated Liquid–Liquid Equilibrium Data for Ternary Systems (Water + Poly(oxymethylene) Dimethyl Ethers + Toluene) at T = 293.15 and 303.15 K and p = 101.3 kPa

Cao

Nawaz

et al. 2019

J. Chem. Eng. Data

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show abstract

“…For a large number of binary systems, the recommended α ij values are commonly between 0.20 and 0.47 in Aspen Plus software [26]. The UNIQUAC structural parameters r (volume parameter) and q (surface parameter) could be calculated from the number of molecular groups and the individual values of the van der Waals volume and area of the molecule by the Bondi method [27]. The values of the structural parameters r and q used in the UNIQUAC model for this system are recommended by DECHEMA [28] as shown in Table 2.…”

Section: Thermodynamics Modelingmentioning

confidence: 99%

Liquid–liquid equilibria in the ternary systems {water + cyclopentanone + benzene or toluene} at different temperatures: Experimental data and correlation

Wang

Ming-xian

et al. 2017

Journal of Molecular Liquids

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“…Some authors have already reported LLE data for the systems consisting of chloroform and carbon tetrachloride. 35−48 Acetone, 35 nicotine 36 acetic acid, 38,46 and tetrahydrofuran 39 were purified using carbon tetrachloride and acetic acid, 37,42,43 while tetrahydrofuran, 39 valeric acid, pyruvic acid, propionic acid, 43 acetyl acetone, 44 and 2-methylaziridine 47 were separated using chloroform. Mixtures of chloroform with other solvents (toluene or diethyl ether) were also used to separate ethanol from water.…”

Section: Introductionmentioning

confidence: 99%

Phase Equilibrium Data of Ternary Mixtures (Water + Orthophosphoric Acid + Chlorinated Methanes)

Shekarsaraee

Hadinejad

2021

J. Chem. Eng. Data

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In the present study, phase equilibrium data of the systems (water + orthophosphoric acid + chlorinated methanes) were measured in the temperature range of 298.2−318.2 K under ambient conditions. Chloroform and carbon tetrachloride were chosen as chlorinated solvents. Both the systems exhibited a type II phase behavior. The presence of hydrogen atoms in chloroform caused differences in phase behavior, partition coefficients, and solubility of the acid in the studied chlorinated methanes. Solid orthophosphoric acid was dissolved six times more in chloroform than in carbon tetrachloride. The thermodynamic modeling was conducted using the NRTL and UNIQUAC equations. Root mean square deviations were calculated to assess the quality of correlations, and the values were lower than 1% for UNIQUAC and 2% for NRTL models. The binary interaction parameters were optimized, and the temperature dependency of the binary parameters was considered. The performance of the studied solvents was evaluated by calculating the distribution coefficients (0.007 to 0.032 for chloroform and 0.004 to 0.008 for tetrachloromethane as solvents) and separation factors (9.81 to 1.25 for CHCl 3 and 5.67 to 1.70 for CCl 4 solvent systems) over the immiscibility region. Temperature increment had obvious effects on the partition coefficients of chloroform ternary mixtures. The obtained partition coefficients at 298.2 K were eventually regressed using the Catalań linear solvation energy relationship (LSER) model. The LSER modeling proposed that polarizability and dipolarity have large negative and positive effects on the distribution coefficient, while acidity and basicity have small and very small positive effects, respectively. LSER modeling of separation factors suggested polarizability as the strongest positive function and basicity as a negative one.

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The choice of solvent and liquid–liquid equilibrium for ternary water+2-methylaziridine+chloroform system: Experimental data and modeling

Cited by 15 publications

References 21 publications

Experimental and Correlated Liquid–Liquid Equilibrium Data for Ternary Systems (Water + Poly(oxymethylene) Dimethyl Ethers + Toluene) at T = 293.15 and 303.15 K and p = 101.3 kPa

Experimental and Correlated Liquid–Liquid Equilibrium Data for Ternary Systems (Water + Poly(oxymethylene) Dimethyl Ethers + Toluene) at T = 293.15 and 303.15 K and p = 101.3 kPa

Liquid–liquid equilibria in the ternary systems {water + cyclopentanone + benzene or toluene} at different temperatures: Experimental data and correlation

Phase Equilibrium Data of Ternary Mixtures (Water + Orthophosphoric Acid + Chlorinated Methanes)

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