Mechanism of wetting by anionic surfactants with different polar groups on hydrophilic and hydrophobic nano-silica

IF 2.5 4区 化学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Jiangshi Zhang, Yanan Wang, Hongfu Jia, Kai Wang, Yulu Jia, Xiaofeng Ren, Yongtun Li, Linquan Tong
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引用次数: 0

Abstract

Context

With advancing technology, the hazards of hydrophilic and hydrophobic nano-silica dust have become increasingly apparent. Surfactants are widely used in dust control; however, their performance is primarily determined by their polar groups. To investigate the effect of various polar groups of anionic surfactants on the wettability of hydrophilic and hydrophobic nanosilica. The results indicate that the electronegativity of the electrostatic potential on the hydroxylated silica surface is relatively strong, the larger the electrostatic potential difference (ΔESP) between the surface binding sites and the polar groups of the surfactant, the less favorable the surface is for hydrophobic modification. Additionally, C and O atoms tend to form smaller negative electrostatic potentials compared to S and O atoms, with polar group activity ranked as carboxylate > sulfonate > benzene sulfonate > sulfate. The interaction between SiO2-OH surfaces and water molecules is approximately 3.4 times stronger than that of SiO2-CH3 surfaces. The interaction between water molecules and the SiO2-OH surface is primarily governed by van der Waals forces, whereas the interaction between water molecules and the SiO2-CH3 surface is mainly driven by electrostatic forces. The polar groups of the surfactant are distributed in the aqueous phase, while the nonpolar groups interact with the surface through electrostatic interactions. The hydration layer surrounding the polar groups of hydrophilic surfaces is primarily stabilized by strong hydrogen bonding with water molecules. In contrast, for hydrophobic nano-silica surfaces, the hydration layer is influenced by both van der Waals forces and weaker hydrogen bonding interactions. The SiO2-CH3 surface cannot form hydrogen bonds, while the SiO2-OH surface has a strong capacity to stably form hydrogen bonds with carboxylate and sulfate groups. Hydrogen bonding is an essential factor in wetting. The polar group COO- is suitable for controlling hydrophilic and hydrophobic nano-silica dust. These findings provide theoretical and technical references for the selection, application, and design of surfactants in nano-silica dust control.

Methods

To elucidate the effects of various polar groups of anionic surfactants on the wetting of hydrophilic and hydrophobic nano-silica, quantum chemical calculations and molecular dynamics simulations were used to investigate the interfacial adsorption and wetting behavior of anionic surfactants with identical chain lengths but different polar groups on these surfaces.

不同极性的阴离子表面活性剂对亲水和疏水纳米二氧化硅的润湿机理
随着技术的进步,亲水和疏水纳米二氧化硅粉尘的危害日益明显。表面活性剂广泛应用于粉尘治理;然而,它们的表现主要取决于它们的极性群体。研究阴离子表面活性剂的不同极性基团对亲疏水纳米二氧化硅润湿性的影响。结果表明,羟基化二氧化硅表面静电电位的电负性较强,表面结合位点与表面活性剂极性基团之间的静电电位差(ΔESP)越大,表面越不利于疏水修饰。此外,与S和O原子相比,C和O原子倾向于形成较小的负静电电位,其极性基团活性排名为羧酸盐和磺酸盐和苯磺酸盐。SiO2-OH表面与水分子的相互作用强度约为SiO2-CH3表面的3.4倍。水分子与SiO2-OH表面的相互作用主要由范德华力驱动,而水分子与SiO2-CH3表面的相互作用主要由静电力驱动。表面活性剂的极性基团分布在水相中,而非极性基团通过静电相互作用与表面相互作用。亲水表面极性基团周围的水化层主要通过与水分子的强氢键来稳定。相反,对于疏水纳米二氧化硅表面,水化层受到范德华力和较弱的氢键相互作用的影响。SiO2-CH3表面不能形成氢键,而SiO2-OH表面与羧酸基和硫酸盐基稳定形成氢键的能力很强。氢键是润湿的重要因素。极性基团COO-适用于控制亲水和疏水纳米二氧化硅粉尘。这些发现为纳米二氧化硅粉尘控制中表面活性剂的选择、应用和设计提供了理论和技术参考。方法为了阐明不同极性基团的阴离子表面活性剂对亲疏水纳米二氧化硅润湿的影响,采用量子化学计算和分子动力学模拟的方法研究了相同链长但极性基团不同的阴离子表面活性剂在亲疏水纳米二氧化硅表面的界面吸附和润湿行为。
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
Journal of Molecular Modeling
Journal of Molecular Modeling 化学-化学综合
CiteScore
3.50
自引率
4.50%
发文量
362
审稿时长
2.9 months
期刊介绍: The Journal of Molecular Modeling focuses on "hardcore" modeling, publishing high-quality research and reports. Founded in 1995 as a purely electronic journal, it has adapted its format to include a full-color print edition, and adjusted its aims and scope fit the fast-changing field of molecular modeling, with a particular focus on three-dimensional modeling. Today, the journal covers all aspects of molecular modeling including life science modeling; materials modeling; new methods; and computational chemistry. Topics include computer-aided molecular design; rational drug design, de novo ligand design, receptor modeling and docking; cheminformatics, data analysis, visualization and mining; computational medicinal chemistry; homology modeling; simulation of peptides, DNA and other biopolymers; quantitative structure-activity relationships (QSAR) and ADME-modeling; modeling of biological reaction mechanisms; and combined experimental and computational studies in which calculations play a major role.
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