多种温度下依达拉奉在 12 种溶剂中的溶解度行为和数据相关性

IF 2 3区 工程技术 Q3 CHEMISTRY, MULTIDISCIPLINARY
Yusheng Xiao, Zifan Zhang, Long Zhao, Xin Xing, Junjie Li, Min Ding, Bingbing Li* and Peng Wang*, 
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引用次数: 0

摘要

依达拉奉是一种重要的自由基清除剂,对急性缺血性中风(AIS)患者有显著疗效,在医学研究中至关重要。本研究采用静态重量法测定了依达拉奉在 12 种纯溶剂(2-丁酮、4-甲基-2-戊酮、正己烷、1,2-二氯乙烷、3-甲基-1-丁醇、乳酸乙酯、碳酸二甲酯、醋酸丁酯、醋酸甲酯、醋酸异丙酯、醋酸异丁酯和醋酸丙酯)中的溶解度数据(283.15-323.15 K 和 101.2 kPa)。依达拉奉在所有研究溶剂中的溶解度都随着温度的升高而增加。在 298.15 K 时,依达拉奉的溶解度顺序为:1,2-二氯乙烷(0.04168 摩尔/摩尔);乳酸乙酯(0.03918 摩尔/摩尔);2-丁酮(0.03722 摩尔/摩尔);3-甲基-1-丁醇(0.02609 摩尔/摩尔);4-甲基-2-戊酮(0.02432 摩尔/摩尔);乙酸甲酯(0.02372 mol/mol) > 乙酸丙酯 (0.02279 mol/mol) > 碳酸二甲酯 (0.02011 mol/mol) > 乙酸丁酯 (0.01953 mol/mol) > 乙酸异丁酯 (0.01419 mol/mol) > 乙酸异丙酯 (0.01621 mol/mol) > 己烷 (0.0005202 mol/mol)。利用汉森溶解度参数(HSPs)来评估溶剂的能力,并阐明它们溶解依达拉奉的能力。获得的数据与 HSPs 分析结果部分吻合。影响溶解行为的主要因素包括经验溶剂极性参数(ET(30))、氢键和内聚能密度。研究发现,影响依达拉奉溶解度的最重要因素是溶剂的极性。实验中使用了三种溶解度拟合模型来关联实验中的摩尔分数溶解度数据,包括改进的 Apelblat 模型、NRTL 模型和 UNIQUAC 模型。同时,计算了模型参数和数据偏差值。结果表明,改进的 Apelblat 模型具有更好的相关性。此外,还利用 NRTL 模型计算了依达拉奉在选定溶剂中的混合热力学特征,结果表明混合过程是自发的、熵驱动的。本研究旨在补充依达拉奉在纯溶剂中的溶解度数据,为生产具有更高药用价值的依达拉奉晶体提供数据支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Solubility Behavior and Data Correlation of Edaravone in 12 Individual Solvents at Multiple Temperatures

Solubility Behavior and Data Correlation of Edaravone in 12 Individual Solvents at Multiple Temperatures

Edaravone is an important free radical scavenger with significant efficacy in acute ischemic stroke (AIS) patients, which is essential in medical research. The solubility data of edaravone were measured by the static gravimetric method in 12 pure solvents (2-butanone, 4-methyl-2-pentanone, hexane, 1,2-dichloroethane, 3-methyl-1-butanol, ethyl lactate, dimethyl carbonate, butyl acetate, methyl acetate, isopropyl acetate, isobutyl acetate, and propyl acetate) from 283.15 to 323.15 K and 101.2 kPa. The solubility of edaravone in all studied solvents increased with the increase of temperature. At 298.15 K, the solubility order of edaravone was: 1,2-dichloroethane (0.04168 mol/mol) > ethyl lactate (0.03918 mol/mol) > 2-butanone (0.03722 mol/mol) > 3-methyl-1-butanol (0.02609 mol/mol) > 4-methyl-2-pentanone (0.02432 mol/mol) > methyl acetate (0.02372 mol/mol) > propyl acetate (0.02279 mol/mol) > dimethyl carbonate (0.02011 mol/mol) > butyl acetate (0.01953 mol/mol) > isobutyl acetate (0.01419 mol/mol) > isopropyl acetate (0.01621 mol/mol) > hexane (0.0005202 mol/mol). The Hansen solubility parameters (HSPs) were utilized to assess the solvents’ capability and to elucidate their ability to dissolve edaravone. The data obtained are partially in agreement with the analyses of the HSPs. The main factors influencing the solubility behavior included the empirical solvent polarity parameters (ET(30)), hydrogen bonding, and cohesive energy density. It was found that the most important factor affecting the solubility of edaravone was the polarity of the solvent. Three solubility fitting models were used to correlate the experimental mole fraction solubility data, including the modified Apelblat model, the NRTL model, and the UNIQUAC model. At the same time, the model parameters and data deviation values were calculated. The results showed that the modified Apelblat model had better correlation results. Furthermore, mixing thermodynamic characteristics of edaravone in selected solvents were calculated by the NRTL model, which revealed that the mixing process was spontaneous and entropy-driven. The aim of this study was to supplement the solubility data of edaravone in pure solvents and provide data support for the production of its crystals with higher medicinal values.

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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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