Transcending Lifshitz Theory: Reliable Prediction of Adhesion Forces between Hydrocarbon Surfaces in Condensed Phases Using Molecular Contact Thermodynamics

IF 3.7 2区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY Langmuir Pub Date : 2024-06-27 DOI:10.1021/acs.langmuir.3c03218
Oscar Siles Brügge, Christopher A. Hunter and Graham J. Leggett*, 
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Abstract

Lifshitz theory is widely used to calculate interfacial interaction energies and underpins established approaches to the interpretation of measurement data from experimental methods including the surface forces apparatus and the atomic force microscope. However, a significant limitation of Lifshitz theory is that it uses the bulk dielectric properties of the medium to predict the work of adhesion. Here, we demonstrate that a different approach, in which the interactions between molecules at surfaces and in the medium are described by a set of surface site interaction points (SSIPs), yields interaction free energies that are correlated better with experimentally determined values. The work of adhesion W(Lifshitz) between hydrocarbon surfaces was calculated in 260 liquids using Lifshitz theory and compared with interaction free energies ΔΔG calculated using the SSIP model. The predictions of these models diverge in significant ways. In particular, ΔΔG values for hydrocarbon surfaces are typically small and vary little, but in contrast, W(Lifshitz) values span 4 orders of magnitude. Moreover, the SSIP model yields significantly different ΔΔG values in some liquids for which Lifshitz theory predicts similar values of W(Lifshitz). These divergent predictions were tested using atomic force microscopy. Experimentally determined works of adhesion were closer to the values predicted using the SSIP model than Lifshitz theory. In mixtures of methanol and benzyl alcohol, even greater differences were found in the interaction energies calculated using the two models: the value of ΔΔG calculated using the SSIP model declines smoothly as the benzyl alcohol concentration increases, and values are well correlated with experimental data; however, W(Lifshitz) decreases to a minimum and then increases, reaching a larger value for benzyl alcohol than for methanol. We conclude that the SSIP model provides more reliable estimates of the work of adhesion than Lifshitz theory.

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超越利夫希茨理论:利用分子接触热力学可靠预测凝结相中碳氢化合物表面之间的粘附力。
Lifshitz 理论被广泛用于计算界面相互作用能,是解释表面力仪器和原子力显微镜等实验方法测量数据的既定方法的基础。然而,Lifshitz 理论的一个显著局限是它使用介质的体介电常数来预测粘附功。在这里,我们证明了一种不同的方法,即通过一组表面位点相互作用点(SSIPs)来描述表面和介质中分子之间的相互作用,可以得到与实验测定值相关性更好的相互作用自由能。使用 Lifshitz 理论计算了 260 种液体中碳氢化合物表面之间的粘附功 W(Lifshitz),并与使用 SSIP 模型计算的相互作用自由能 ΔΔG 进行了比较。这些模型的预测结果存在显著差异。特别是,碳氢化合物表面的 ΔΔG 值通常较小,而且变化不大,但相比之下,W(Lifshitz) 值却跨越了 4 个数量级。此外,在某些液体中,SSIP 模型得出的 ΔΔG 值与 Lifshitz 理论预测的 W(Lifshitz) 值相差很大。我们使用原子力显微镜对这些不同的预测值进行了测试。与 Lifshitz 理论相比,实验测定的附着力更接近 SSIP 模型的预测值。在甲醇和苯甲醇的混合物中,使用这两种模型计算出的相互作用能的差异更大:使用 SSIP 模型计算出的ΔΔG 值随着苯甲醇浓度的增加而平稳下降,其值与实验数据密切相关;然而,W(Lifshitz) 下降到最小值后又上升,苯甲醇的值大于甲醇。我们的结论是,SSIP 模型比 Lifshitz 理论能更可靠地估计粘附功。
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来源期刊
Langmuir
Langmuir 化学-材料科学:综合
CiteScore
6.50
自引率
10.30%
发文量
1464
审稿时长
2.1 months
期刊介绍: Langmuir is an interdisciplinary journal publishing articles in the following subject categories: Colloids: surfactants and self-assembly, dispersions, emulsions, foams Interfaces: adsorption, reactions, films, forces Biological Interfaces: biocolloids, biomolecular and biomimetic materials Materials: nano- and mesostructured materials, polymers, gels, liquid crystals Electrochemistry: interfacial charge transfer, charge transport, electrocatalysis, electrokinetic phenomena, bioelectrochemistry Devices and Applications: sensors, fluidics, patterning, catalysis, photonic crystals However, when high-impact, original work is submitted that does not fit within the above categories, decisions to accept or decline such papers will be based on one criteria: What Would Irving Do? Langmuir ranks #2 in citations out of 136 journals in the category of Physical Chemistry with 113,157 total citations. The journal received an Impact Factor of 4.384*. This journal is also indexed in the categories of Materials Science (ranked #1) and Multidisciplinary Chemistry (ranked #5).
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