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通过微波传感和模型预测确定复杂溶剂混合物的介电常数

Determining Dielectric Constants for Complex Solvent Mixtures by Microwave Sensing and Model Prediction.

作者信息

Zeng Shixuan, Trontz Adam, Xiao Hai, Dong Junhang

机构信息

Department of Chemical & Environmental Engineering, College of Engineering and Applied Science, University of Cincinnati, Cincinnati, Ohio 45221, United States.

Electrical and Computer Engineering Department, Clemson University, Clemson, South Carolina 29634, United States.

出版信息

J Phys Chem A. 2021 Dec 2;125(47):10245-10254. doi: 10.1021/acs.jpca.1c07404. Epub 2021 Nov 19.

DOI:10.1021/acs.jpca.1c07404
PMID:34797982
Abstract

The frequency-dependent dielectric constant is a basic fluid property that is currently challenging to determine for complex liquid mixtures. Here, we report the determination of effective dielectric constants for various solvent mixtures under flow conditions using a simple in-line microwave Fabry-Pérot interferometer cable sensor. An ideal solution model-based mixing rule has been established and demonstrated for significantly improved prediction of dielectric constants for single-phase solvent mixtures. However, the current mixing rules exhibit large deviations for immiscible water/oil dispersions apparently because of the effects of strong interfacial polarizations on the overall mixture polarizability that are not accounted for by the models.

摘要

频率相关介电常数是一种基本的流体属性,目前对于复杂液体混合物而言,确定该属性具有挑战性。在此,我们报告了使用一种简单的在线微波法布里-珀罗干涉仪电缆传感器,在流动条件下测定各种溶剂混合物的有效介电常数。已经建立并证明了基于理想溶液模型的混合规则,可显著改进对单相溶剂混合物介电常数的预测。然而,目前的混合规则对于不混溶的水/油分散体系存在较大偏差,这显然是由于强界面极化对整体混合物极化率的影响未被模型考虑所致。

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