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通过分子动力学模拟获得的汉森溶解度参数作为预测硅氧烷表面活性剂吸附的一种途径。

Hansen solubility parameters obtained via molecular dynamics simulations as a route to predict siloxane surfactant adsorption.

作者信息

Faasen Daniël P, Jarray Ahmed, Zandvliet Harold J W, Kooij E Stefan, Kwiecinski Wojciech

机构信息

Physics of Interfaces and Nanomaterials Group, MESA+ Institute for Nanotechnology, University of Twente, P.O. Box 217, 7500 AE Enschede, the Netherlands.

Multi Scale Mechanics (MSM), MESA+ Institute for Nanotechnology, University of Twente, P.O. Box 217, 7500 AE Enschede, the Netherlands.

出版信息

J Colloid Interface Sci. 2020 Sep 1;575:326-336. doi: 10.1016/j.jcis.2020.04.070. Epub 2020 Apr 27.

Abstract

HYPOTHESIS

The Hansen Solubility Parameters (HSP) derived from Molecular Dynamics (MD) simulations can be used as a fast approach to predict surfactants adsorption on a solid surface. Experiments and simulations: We focused on the specific case of siloxane-based surfactants adsorption on silicon oxide surface (SiO), encountered in inkjet printing processes. A simplified atomistic model of the SiO surface was designed to enable the computation of its solubility parameter using MD, and to subsequently determine the interactions of the SiO surface with the siloxane-based surfactant and the various solvents employed. Surfactant adsorption was characterized experimentally using contact angle goniometry, ellipsometry, XPS and AFM.

FINDINGS

Comparison of the numerical results with experiments showed that the HSP theory allows to identify the range of solvents that are likely to prevent surfactant adsorption on the SiO surface. The proposed approach indicates that polar solvents, such as acetone and triacetin, which are strongly attracted to the silicon oxide surface might form a shield that prevents siloxane-based surfactants adsorption. This simple approach, can guide the selection of adequate solvents for surfaces and surfactants with specific chemical structures, providing opportunities for controlling interfacial adsorption.

摘要

假设

通过分子动力学(MD)模拟得出的汉森溶解度参数(HSP)可作为一种预测表面活性剂在固体表面吸附的快速方法。实验与模拟:我们聚焦于喷墨打印过程中硅氧烷基表面活性剂在氧化硅表面(SiO)吸附的特定情况。设计了一个简化的SiO表面原子模型,以便使用MD计算其溶解度参数,并随后确定SiO表面与硅氧烷基表面活性剂及所使用的各种溶剂之间的相互作用。使用接触角测角法、椭偏仪、X射线光电子能谱(XPS)和原子力显微镜(AFM)对表面活性剂吸附进行了实验表征。

研究结果

数值结果与实验的比较表明,HSP理论能够确定可能防止表面活性剂在SiO表面吸附的溶剂范围。所提出的方法表明,诸如丙酮和三醋精等被氧化硅表面强烈吸引的极性溶剂可能形成一个屏蔽层,阻止硅氧烷基表面活性剂的吸附。这种简单方法可为具有特定化学结构的表面和表面活性剂选择合适的溶剂提供指导,为控制界面吸附提供机会。

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