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用于描述多组分混合物的索雷特向量。

Soret vector for description of multicomponent mixtures.

作者信息

Mialdun Aliaksandr, Bou-Ali Mounir, Shevtsova Valentina

机构信息

MRC, CP165/62, Université Libre de Bruxelles, Av. F.D. Roosevelt, 50, 1050, Brussels, Belgium.

Mechanical and Manufacturing Department, Mondragon University, Loramendi 4, 20500, Mondragon, Spain.

出版信息

Sci Rep. 2021 Sep 6;11(1):17735. doi: 10.1038/s41598-021-97125-6.

Abstract

The Soret effect describes the transport of constituent species in multicomponent mixtures that occurs due to a temperature gradient. This cross-coupling effect of heat and mass transfer has been successfully examined in binary liquid mixtures, while experiments with ternary mixtures are rare as they impose significant difficulties. We introduce a new and innovative concept, the Soret vector, for the characterization of Soret driven separation in ternary mixtures. The presentation of the component separation in the vector form offers several advantages: (i) to predict the Soret sign of a ternary mixture from knowledge of the Soret coefficients in binary subsystems; (ii) to control consistency of measured coefficients, this is especially important when results are obtained using different instruments and methods; (iii) to determine in which regions and which components cause the greatest separation; (iv) to identify the regions where the Soret separation is inaccessible for optical techniques or gravitationally unstable. We demonstrate these features by exploring ternary mixtures of different origins: (a) nearly ideal mixture composed by THN-IBB-nC12 when Soret coefficients in binary subsystems ([Formula: see text]) are positive, (b) non-ideal mixture containing water and ethanol TEG-Wat-EtOH when [Formula: see text] are positive and negative and (c) Tol-MeOH-Ch mixture containing demixing zone with positive and negative [Formula: see text]. Our approach provides a promising systematic framework for the future research of an important and challenging problem of thermodiffusion in multicomponent liquids.

摘要

索雷特效应描述了多组分混合物中由于温度梯度而发生的组分传输。这种热质传递的交叉耦合效应已在二元液体混合物中得到成功研究,而三元混合物的实验则很少,因为它们存在很大困难。我们引入了一个全新的创新概念——索雷特向量,用于表征三元混合物中索雷特驱动的分离。以向量形式呈现组分分离具有几个优点:(i)根据二元子系统中索雷特系数的知识预测三元混合物的索雷特符号;(ii)控制测量系数的一致性,当使用不同仪器和方法获得结果时,这一点尤为重要;(iii)确定在哪些区域以及哪些组分导致最大的分离;(iv)识别光学技术或重力不稳定无法实现索雷特分离的区域。我们通过探索不同来源的三元混合物来展示这些特性:(a)由THN - IBB - nC12组成的近理想混合物,此时二元子系统中的索雷特系数([公式:见原文])为正;(b)包含水和乙醇的非理想混合物TEG - Wat - EtOH,此时[公式:见原文]有正有负;(c)含有相分离区且[公式:见原文]有正有负的Tol - MeOH - Ch混合物。我们的方法为未来研究多组分液体中热扩散这一重要且具有挑战性的问题提供了一个有前景的系统框架。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c31/8421444/f0b57b4b5752/41598_2021_97125_Fig1_HTML.jpg

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