Hydrophobicity-Driven Enhancement of Hydrogen Bonding in Ionic Liquid Hybrid Solvents.

IF 2.8 2区 化学 Q3 CHEMISTRY, PHYSICAL
Samuel Abidemi Oluwole, Welday Desta Weldu, Christian Agatemor
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引用次数: 0

Abstract

Intermolecular interactions play a fundamental role in the properties of materials, including solvents. Yet, the complex interplay between these interactions, specifically hydrophobic interactions and hydrogen bonding (H-bonding), in liquids, such as the emerging class of ionic liquid hybrid solvents (ILHSs), where these interactions coexist, remains to be fully grasped. Understanding these interactions is crucial for designing new ILHSs and optimizing their performance. Here, we used orthogonal techniques to elucidate the interplay between hydrophobicity and H-bonding in ILHSs composed of ionic components, choline and geranate, and a terpenoid molecular solvent. Our findings reveal a counterintuitive strengthening of H-bond networks with increasing molecular hydrophobicity, uncovered through integrated spectroscopic, calorimetric, and DFT analyses. This insight provides a new framework for understanding how molecular-scale hydrophobicity modulates mesoscopic organization in complex fluids and structured solvents, with implications for enhanced nanoscale organization, biologic encapsulation, and the rational design of ILHSs for applications such as catalysis and drug delivery.

离子液体杂化溶剂中疏水驱动的氢键增强。
分子间相互作用在包括溶剂在内的材料的性质中起着基本的作用。然而,这些相互作用之间的复杂相互作用,特别是疏水相互作用和氢键(h键),在液体中,如新兴的离子液体混合溶剂(ilhs),这些相互作用共存,仍有待充分掌握。了解这些相互作用对于设计新的ilhs和优化其性能至关重要。本研究采用正交实验的方法研究了由离子组分、胆碱、胆酸盐和萜类分子溶剂组成的ilhs的疏水性和氢键之间的相互作用。我们的研究结果揭示了氢键网络随着分子疏水性的增加而增强的反直觉,这是通过综合光谱、量热和DFT分析发现的。这一见解为理解分子级疏水性如何调节复杂流体和结构化溶剂中的介观组织提供了一个新的框架,对增强纳米级组织、生物包被以及合理设计用于催化和药物输送等应用的ilhs具有重要意义。
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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来源期刊
CiteScore
5.80
自引率
9.10%
发文量
965
审稿时长
1.6 months
期刊介绍: An essential criterion for acceptance of research articles in the journal is that they provide new physical insight. Please refer to the New Physical Insights virtual issue on what constitutes new physical insight. Manuscripts that are essentially reporting data or applications of data are, in general, not suitable for publication in JPC B.
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