在 283.15 至 323.15 K 温度范围内,α-氨基异丁酸在 13 种溶剂中的溶解度特性

IF 2 3区 工程技术 Q3 CHEMISTRY, MULTIDISCIPLINARY Journal of Chemical & Engineering Data Pub Date : 2024-04-10 DOI:10.1021/acs.jced.4c00023
Mingyu Jing, Yongjie Wang, Dandan Liu, Shujing Zhang, Jiaxin Wang, Peng Wang* and Bingbing Li*, 
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引用次数: 0

摘要

本研究报告了α-氨基异丁酸在 13 种单溶剂体系(水、甲醇、乙醇、正丙醇、异丙醇、正丁醇、异丁醇、N,N-二甲基甲酰胺、乙腈、丙酮、乙酸乙酯、2-丁酮和乙酸甲酯)中的固液平衡溶解度和溶剂效应。2 千帕(T = 283.15-323.15 K 时)。在 13 种单溶剂中,溶解度随绝对温度的升高而增大,顺序为水;N,N-二甲基甲酰胺;甲醇;乙酸乙酯;2-丁酮;乙醇;正丙醇;正丁醇≈正戊醇;异丙醇;丙酮;乙酸甲酯≈乙腈。采用改进的Apelblat模型、Yaws模型、Margules模型和非随机双液(NRTL)模型对实验溶解度进行相关分析,并使用OriginPro 2019b软件进行分析和拟合,四种模型的拟合结果均令人满意。此外,通过比较四个模型的平均 ARD 值和均方根偏差(RMSD)值,Yaws 模型的相关性结果最好。利用 CrystalExplorer 软件和 Gauss 5.0 程序进行的 Hirshfeld 表面分析(HS)和分子静电位面(MEPS)确定了 α-aminoisobutyric acid 溶液中的内部相互作用。此外,还利用汉森溶解度参数(HSPs)分析了溶解度行为。此外,还利用 NRTL 模型计算了 α-aminoisobutyric acid 在选定溶剂中的混合热力学特性,结果表明混合过程是自发和熵驱动的。这些实验结果可用于α-氨基异丁酸以及类似物质的提纯、结晶和工业应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Solubility Behavior of α-Aminoisobutyric Acid in 13 Individual Solvents at Temperatures Ranging from 283.15 to 323.15 K

In this study, the solid–liquid equilibrium solubility and solvent effects of α-aminoisobutyric acid in 13 monosolvent systems (water, methanol, ethanol, n-propanol, isopropanol, n-butanol, isobutanol, N,N-dimethylformamide, acetonitrile, acetone, ethyl acetate, 2-butanone, and methyl acetate) were reported at the pressure of 101.2 kPa (at T = 283.15–323.15 K). Among the 13 monosolvents, the solubility increased with the increase of absolute temperature, the order is water > N,N-dimethylformamide > methanol > ethyl acetate >2-butanone > ethanol > n-propanol > n-butanol ≈ n-pentanol > isopropanol > acetone > methyl acetate ≈ acetonitrile. The modified Apelblat model, Yaws model, Margules model, and nonrandom two-liquid (NRTL) model were employed to correlate the experimental solubility, and the OriginPro 2019b software was used for analysis and fitting, and the fitting results of the four models were all satisfactory. In addition, through a comparison of the average ARD and root-mean-square deviation (RMSD) values of the four models, the Yaws model achieved the best correlation result. Hirshfeld surface analysis (HS) and molecular electrostatic potential surface (MEPS) performed by the CrystalExplorer software and Gauss 5.0 program were used to determine the internal interactions within α-aminoisobutyric acid solutions. In addition, Hansen solubility parameters (HSPs) were utilized to analyze the solubility behavior. Furthermore, mixing thermodynamic characteristics of α-aminoisobutyric acid in selected solvents were calculated by the NRTL model, which revealed that the mixing process was spontaneous and entropy-driven. These experimental results could be utilized for the purification, crystallization, and industrial applications of α-aminoisobutyric acid, as well as similar substances.

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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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