Enrichment at vapour–liquid interfaces of mixtures: establishing a link between nanoscopic and macroscopic properties

IF 2.5 2区 化学 Q3 CHEMISTRY, PHYSICAL International Reviews in Physical Chemistry Pub Date : 2020-07-02 DOI:10.1080/0144235x.2020.1777705
S. Stephan, H. Hasse
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引用次数: 30

Abstract

Component density profiles at vapour–liquid interfaces of mixtures can exhibit a non-monotonic behaviour with a maximum that can be many times larger than the densities in the bulk phases. This is called enrichment and is usually only observed for low-boiling components. The enrichment is a nanoscopic property which can presently not be measured experimentally – in contrast to the classical Gibbs adsorption. The available information on the enrichment stems from molecular simulations, density gradient theory, or density functional theory. The enrichment is highly interesting as it is suspected to influence the mass transfer across interfaces. In the present work, we review the literature data and the existing knowledge on this phenomenon and propose an empirical model to establish a link between the nanoscopic enrichment and macroscopic properties – namely vapour–liquid equilibrium data. The model parameters were determined from a fit to a dataset on the enrichment in about 100 binary Lennard-Jones model mixtures that exhibit different types of phase behaviour, which has recently become available. The model is then tested on the entire set of enrichment data that is available in the literature, which includes also mixtures containing non-spherical, polar, and H-bonding components. The model predicts the enrichment data from the literature (2,000 data points) with an AAD of about 16%, which is below the uncertainty of the enrichment data. This establishes a direct link between measurable macroscopic properties and the nanoscopic enrichment and enables predictions of the enrichment at vapour–liquid interfaces from macroscopic data alone.
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混合物汽液界面的富集:建立纳米和宏观性质之间的联系
混合物的气液界面处的组分密度分布可以表现出非单调行为,其最大值可以比体相中的密度大许多倍。这被称为富集,通常只在低沸点组分中观察到。富集是一种纳米性质,目前还不能通过实验测量-与经典的吉布斯吸附相反。有关富集的现有信息来自分子模拟、密度梯度理论或密度泛函理论。富集是非常有趣的,因为它被怀疑影响了界面间的传质。在本工作中,我们回顾了关于这一现象的文献数据和现有知识,并提出了一个经验模型来建立纳米级富集与宏观性质之间的联系-即汽液平衡数据。模型参数是通过拟合数据集确定的,该数据集对大约100个二元Lennard-Jones模型混合物的富集进行了拟合,这些混合物表现出不同类型的相行为,这是最近可用的。然后在文献中可用的整套富集数据上测试该模型,其中还包括含有非球形,极性和氢键成分的混合物。该模型预测来自文献(2000个数据点)的富集数据的AAD约为16%,低于富集数据的不确定性。这在可测量的宏观性质和纳米级富集之间建立了直接联系,并且仅从宏观数据就可以预测汽液界面的富集。
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来源期刊
CiteScore
14.20
自引率
1.60%
发文量
5
审稿时长
1 months
期刊介绍: International Reviews in Physical Chemistry publishes review articles describing frontier research areas in physical chemistry. Internationally renowned scientists describe their own research in the wider context of the field. The articles are of interest not only to specialists but also to those wishing to read general and authoritative accounts of recent developments in physical chemistry, chemical physics and theoretical chemistry. The journal appeals to research workers, lecturers and research students alike.
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