Vapor Pressure Osmometry and Thermodynamic Modeling of Aqueous Protic Ionic Liquids Based on 2-Hydroxyethylammonium Lactate

IF 2 3区 工程技术 Q3 CHEMISTRY, MULTIDISCIPLINARY
Saeid Faraji, Masumeh Mokhtarpour and Hemayat Shekaari*, 
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引用次数: 0

Abstract

The osmotic coefficient is the most important quantity for the electrolyte system that can be used to describe the behavior and study the interactions that occur in the systems. The osmotic coefficients for the protic ionic liquids, the aqueous 2-hydroxyethylammonium lactate, bis[2-hydroxyethylammonium] lactate, and tris[2-hydroxyethylammonium] lactate ionic liquids have been measured at a temperature range of (298.15–328.15) K with vapor pressure osmometry. The water activity and vapor pressure depression of water have been determined. The extended Pitzer–Archer model was used to correlate the experimental osmotic coefficients. The average standard deviation for the osmotic coefficient values in the binary system with the Pitzer–Archer model was 0.002. Also, the e-NRTL model was used to correlate the activity coefficients of water. Finally, Hansen solubility parameters were used to study the solute–solvent interactions.

Abstract Image

基于2-羟乙基乳酸铵的质子离子液体的蒸汽压渗透法及热力学模型
渗透系数是电解质体系中最重要的一个物理量,它可以用来描述电解质体系的行为,研究电解质体系中发生的相互作用。在(298.15 ~ 328.15)K的温度范围内,用蒸汽压渗透法测定了质子离子液体、2-羟乙基乳酸铵水溶液、二[2-羟乙基乳酸铵]水溶液和三[2-羟乙基乳酸铵]离子液体的渗透系数。测定了水的活度和蒸汽压降。采用扩展的Pitzer-Archer模型来关联实验渗透系数。用Pitzer-Archer模型计算的二元体系渗透系数值的平均标准差为0.002。同时,利用e-NRTL模型对水体活度系数进行了相关性分析。最后,采用Hansen溶解度参数研究溶质-溶剂相互作用。
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来源期刊
Journal of Chemical & Engineering Data
Journal of Chemical & Engineering Data 工程技术-工程:化工
CiteScore
5.20
自引率
19.20%
发文量
324
审稿时长
2.2 months
期刊介绍: The Journal of Chemical & Engineering Data is a monthly journal devoted to the publication of data obtained from both experiment and computation, which are viewed as complementary. It is the only American Chemical Society journal primarily concerned with articles containing data on the phase behavior and the physical, thermodynamic, and transport properties of well-defined materials, including complex mixtures of known compositions. While environmental and biological samples are of interest, their compositions must be known and reproducible. As a result, adsorption on natural product materials does not generally fit within the scope of Journal of Chemical & Engineering Data.
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