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表面润湿性的第一性原理预测

First-Principles Prediction of Surface Wetting.

作者信息

Andersson M P, Hassenkam T, Matthiesen J, Nikolajsen L V, Okhrimenko D V, Dobberschütz S, Stipp S L S

机构信息

Department of Chemical and Biochemical Engineering, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark.

Globe Institute, Section for Geobiology, University of Copenhagen, 2100 København Ø, Denmark.

出版信息

Langmuir. 2020 Oct 27;36(42):12451-12459. doi: 10.1021/acs.langmuir.0c01241. Epub 2020 Oct 13.

Abstract

We have developed a method for predicting the solvation contribution to solid-liquid interfacial tension (IFT) based on density functional theory and the implicit solvent model COSMO-RS. Our method can be used to predict wetting behavior for a solid surface in contact with two liquids. We benchmarked our method against measurements of contact angle from water-in-oil on silica wafers and a range of self-assembled monolayers (SAMs) with different compositions, ranging from oil-wet to water-wet. We also compared our predictions to literature data for wetting of a polydimethylsilane surface. By explicitly including deprotonation for silica surfaces and carboxylic acid SAMs, very good agreement was obtained with experimental data for nearly all surfaces. Poor agreement was found for amine-terminated SAMs, which could be the result of both method and model insufficiencies and impurities known to be present for such surfaces. Solid-liquid IFT cannot be measured directly, making predictions such as from our method all the more important.

摘要

我们基于密度泛函理论和隐式溶剂模型COSMO-RS开发了一种预测溶剂化对固液界面张力(IFT)贡献的方法。我们的方法可用于预测与两种液体接触的固体表面的润湿行为。我们将我们的方法与硅片上油包水体系的接触角测量值以及一系列具有不同组成(从油湿到水湿)的自组装单分子层(SAMs)进行了基准测试。我们还将我们的预测结果与聚二甲基硅烷表面润湿的文献数据进行了比较。通过明确纳入二氧化硅表面和羧酸SAMs的去质子化,几乎所有表面的预测结果与实验数据都取得了很好的一致性。对于胺端基SAMs,预测结果与实验数据的一致性较差,这可能是方法和模型不足以及已知存在于此类表面的杂质共同导致的。固液IFT无法直接测量,这使得我们这种方法所做的预测显得尤为重要。

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