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Experimental liquid-liquid equilibria data of dilute hydroquinone concentration were determined for the ternary system methyl isobutyl ketone + water + hydroquinone at (25, 40, and 50) °C under atmospheric pressure. The experimental data were satisfactorily correlated with the UNIQUAC equation and the NRTL equation. The relative root-mean-square deviations and absolute mean deviations between the calculated and the experimental value are less than 1.2 %.

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To further reduce the total phenols of coal-gasification wastewater which comes from the Lurgi pressurized coal-gasification process, methyl isobutyl ketone (MIBK) instead of diisopropyl ether (DIPE) is used as the extraction solvent in the process to remove the phenols. To obtain process parameters for an industrial trial, process simulations with a treatment capacity of 100 ton/h wastewater are carried out. The simulation results show that with the use of MIBK as an extraction solvent, the total phenol concentration of coal-gasification wastewater can be reduced from 5410 ppm to less than 200 ppm. The operation cost estimate shows that using MIBK as an extraction solvent to extract and remove phenols from coal-gasification wastewater has good economic feasibility. With the process parameters obtained from the simulation, an industrial trial is implemented and satisfactory agreement is found. With the total phenol concentration reduced to below 200 ppm in the pretreatment, the coal-gasification wastewater can be decontaminated in the subsequent biological treatment.

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Liquid–liquid equilibria data for the ternary system 2-methoxy-2-methylpropane (methyl tert-butyl ether) + phenol + water were measured at temperatures of (298.15, 313.15, and 323.15) K at atmosphere pressure. The distribution coefficient and selectivity were used to evaluate the extraction performance of the 2-methoxy-2-methylpropane. The reliability of the experimental tie-line data was verified by the Hand and Bachman equations. The experimental data were correlated with the NRTL and UNIQUAC models. The binary interaction parameters of these two models were reported. Both models correlated the experimental data successfully. In comparison, the NRTL model presents a better prediction than the UNIQUAC model.

Co-micellization of MPEG–PDEAEMA and MPEG–PCL was carried out to enhance the drug loading content and realize pH-responsive release.

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