The influence of the temperature on the liquid–liquid equilibrium of the ternary system 1-butanol–1-propanol–water

Gomis-Yagües, V.; Ruiz-Beviá, F.; Ramos-Nofuentes, M.; Fernández‐Torres, María J.

doi:10.1016/s0378-3812(98)00315-x

Cited by 21 publications

(13 citation statements)

References 6 publications

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“…The experimental cloud point data obtained for ternary systems of {1-butanol in the PEG aqueous solutions} and {1-butanol in the IL aqueous solutions} are novel, and there are no data in the available literature for comparison. The graphical comparisons of the data obtained here for {1-butano in the amino acid aqueous solutions} and {1-butanol in the 1-/2-propanol aqueous solutions} with the relevant data reported in the literature ,− are provided in Figures S10–S23 of the Supporting Information, as 1-butanol mass fraction against water mass fraction at different temperatures. From these figures, it can be seen that the liquid–liquid equilibrium data of {1-butanol + water + glycine} (Figure S11), {1-butanol + water + serine} (Figure S12), {1-butanol + water + alanine} ( Figure S13), {1-butanol + water + 1-propanol} (Figures S14–S19), − and {1-butanol + water + 2-propanol} (Figures S20–S22) are generally in a good consistency with the literature data.…”

Section: Resultsmentioning

confidence: 90%

“…The graphical comparisons of the data obtained here for {1-butano in the amino acid aqueous solutions} and {1-butanol in the 1-/2-propanol aqueous solutions} with the relevant data reported in the literature ,− are provided in Figures S10–S23 of the Supporting Information, as 1-butanol mass fraction against water mass fraction at different temperatures. From these figures, it can be seen that the liquid–liquid equilibrium data of {1-butanol + water + glycine} (Figure S11), {1-butanol + water + serine} (Figure S12), {1-butanol + water + alanine} ( Figure S13), {1-butanol + water + 1-propanol} (Figures S14–S19), − and {1-butanol + water + 2-propanol} (Figures S20–S22) are generally in a good consistency with the literature data. However, Figure S10 shows a clear discrepancy between our data and ref for the {1-butanol + water + glycine} system at 313.1 K. To investigate this disagreement, the liquid–liquid equilibrium data of the binary system of {1-butanol + water} at 313.1 K were also taken from the other literature , and sketched in Figure S10.…”

Section: Resultsmentioning

confidence: 90%

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Soluting-In, Soluting-Out, and Washing-Out Effects of Various Additives on Aqueous 1-Butanol Solutions

2021

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This work addresses the liquid−liquid demixing (clouding) behavior of 1-butanol aqueous solutions in the presence of various additives, including amino acids, imidazolium-based ionic liquids (ILs), polymers, and 1-/2-propanol, in a wide temperature range (283.1−353.1 K) and at atmospheric pressure (845 hPa). The visual cloud point data revealed that the studied amino acids reduce the water solubility of 1-butanol and expand the immiscibility region (soluting-out effect). At the same amino acid's molality, the soluting-out aptitude follows the trend serine > glycine > alanine > proline > glutamine. However, the ILs and polymers [poly(ethylene glycol) (PEG)] act as cosolvents for 1butanol in aqueous media and broaden the miscibility region (soluting-in effect). An increase in the cation alkyl chain length of ILs and a decrease in PEG molar mass strengthen the soluting-in effect. The clouding phase behavior of aqueous 1-butanol + 1-/2propanol ternary systems at lower temperatures reveals the expansion of the immiscibility region due to the washing-out effect but at higher temperatures exhibits the soluting-in effect. An increase in the concentration of 1-/2-propanol decreases the extent of the washing-out effect. In all cases, the soluting-in/out effects increase with the increase in the concentration of additives. Soluting effects occurring in the studied systems have been quantified by correlating the experimental cloud point data with Setschenow's equation, and the clouding process in the systems studied has been carefully discussed from the thermodynamic point of view. From the gathered results, at higher temperatures, the relative contribution of enthalpy to clouding Gibbs free energy in the presence of soluting-in agent additives is mostly higher than that in the presence of soluting-out agents. However, at lower temperatures, the entropy increase is the driving force of clouding in most of the investigated systems.

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Section: Resultsmentioning

confidence: 90%

Section: Resultsmentioning

confidence: 90%

Soluting-In, Soluting-Out, and Washing-Out Effects of Various Additives on Aqueous 1-Butanol Solutions

2021

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“…The experimental LLE data were correlated by using NRTL and UNIQUAC activity coefficient models, , which are expressed asNRTL and And where a ij and b ij are parameters of the models needed to regressed, γ i represents the activity coefficient, x represents the experimental mole fraction, α ij is the nonrandomness constant in NRTL model. The structural parameters r i and q i for the UNIQUAC equation are shown in the Table .…”

Section: Resultsmentioning

confidence: 99%

“…The experimental LLE data were correlated by using NRTL and UNIQUAC activity coefficient models, 18,19 which are expressed as…”

Section: Lle Data Correlationmentioning

confidence: 99%

Liquid–Liquid Equilibrium for the Ternary System Isopropyl Acetate + Ethanol + Water at (293.15, 313.15, and 333.15) K

Gao

Chen

et al. 2016

J. Chem. Eng. Data

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The ternary liquid–liquid equilibrium (LLE) experimental data for the system isopropyl acetate + ethanol + water have been measured at (293.15, 313.15, 333.15) K under pressure of 101.3 kPa in this work. The quality of the determined experimental data was checked by the Bachman and Hand equations, which the correlation coefficients of the Bachman equation were 0.9964, 0.9997, and 0.9994, and the those of the Hand equation were 0.9717, 0.9846, and 0.9934 for (293.15, 313.15 and 333.15) K. Moreover, the measured data were correlated by the nonrandom two-liquid (NRTL) and universal quasi-chemical (UNIQUAC) activity coefficient equations, and the parameters of the two equations were regressed. The comparison between the correlated values and the measured data was made, which the correlated values agree well with the determined LLE data. Meanwhile, the selectivity (S) and distribution coefficient (D) for this ternary system were calculated from the experimental data.

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“…As has been stated in recent papers, , the correlation of the liquid−liquid equilibrium data is currently done by fitting each set of isothermic data separately. To obtain an unique set of parameters valid for the range of temperatures studied, a simultaneous correlation of experimental liquid−liquid data, using the UNIQUAC 3 model for the ternary system 1-pentanol + 1-propanol + water at temperatures ranging from 25 °C to 95 °C was made.…”

Section: Introductionmentioning

confidence: 99%

Influence of the Temperature on the Liquid−Liquid Equilibrium of the Ternary System 1-Pentanol + 1-Propanol + Water

2000

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The influence of the temperature on the liquid–liquid equilibrium of the ternary system 1-butanol–1-propanol–water

Cited by 21 publications

References 6 publications

Soluting-In, Soluting-Out, and Washing-Out Effects of Various Additives on Aqueous 1-Butanol Solutions

Soluting-In, Soluting-Out, and Washing-Out Effects of Various Additives on Aqueous 1-Butanol Solutions

Liquid–Liquid Equilibrium for the Ternary System Isopropyl Acetate + Ethanol + Water at (293.15, 313.15, and 333.15) K

Influence of the Temperature on the Liquid−Liquid Equilibrium of the Ternary System 1-Pentanol + 1-Propanol + Water

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