基于环糊精的深共晶溶剂在萃取过程中的物理化学特性计算探究

IF 6.2 Q1 CHEMISTRY, APPLIED
Parisa Jahanbakhsh-Bonab , Zahra Khoshnazar , Jaber Jahanbin Sardroodi , Ehsan Heidaryan
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引用次数: 0

摘要

深共晶溶剂(DES)作为传统挥发性有机溶剂的环保型替代品,在工业领域备受关注。本研究利用分子动力学模拟研究了新型 DES 的物理化学和结构特征,特别是 DES1、DES2 和 DES3,它们分别由甲基-β-环糊精(MBCD)与甲酸(FA)、丙酸(PA)和乙酸(AA)以 1:3 的摩尔比混合而成。综合分布函数和径向分布函数显示的结构分析表明,DES 内部的主要相互作用发生在酸的羟基氢和 MBCD 的羟基氧之间,以及 MBCD 的羟基氢和酸的羰基氧之间。此外,还观察到 MBCD 与 PA 形成的氢键和非键相互作用多于与 FA 或 AA 形成的氢键和非键相互作用。因此,与 FA 和 AA 相比,PA 的自扩散系数较低。研究结果还表明,酸类型对 DES 的密度和等温压缩性的影响遵循以下顺序:密度为 DES2 > DES1 > DES3,压缩性为 DES3 > DES2 > DES1。总之,这项研究为了解基于 MBCD 的新型 DES 的行为提供了宝贵的见解,为其在萃取过程中的潜在应用提供了预测性的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A computational probe into the physicochemical properties of cyclodextrin-based deep eutectic solvents for extraction processes
The use of deep eutectic solvents (DESs) as environmentally friendly alternatives to traditional volatile organic solvents has attracted significant attention in the industrial sector. In this study, molecular dynamics simulations were utilized to examine the physicochemical and structural characteristics of novel DESs—specifically DES1, DES2, and DES3—comprising methyl-β-cyclodextrin (MBCD) mixed with formic acid (FA), propionic acid (PA), and acetic acid (AA), respectively, in a 1:3 molar ratio. Structural analysis, as revealed by the combined distribution function and radial distribution function, indicated that the dominant interactions within the DESs occur between the hydroxyl hydrogen of the acids and the hydroxyl oxygen of MBCD, as well as between the hydroxyl hydrogen of MBCD and the carbonyl oxygen of the acids. Furthermore, it was observed that MBCD forms more hydrogen bonds and non-bonded interactions with PA than with FA or AA. As a result, PA exhibits a lower self-diffusion coefficient compared to FA and AA. The findings also demonstrate that the influence of the acid type on the density and isothermal compressibility of the DESs follows the order: DES2 > DES1 > DES3 for density and DES3 > DES2 > DES1 for compressibility. Overall, this study provides valuable insights into the behavior of novel MBCD-based DESs, offering predictive insights for their potential applications in extraction processes.
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CiteScore
8.70
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