Le Van-Hoan, Tarantola Alexandre, Caumon Marie-Camille
Université de Lorraine, CNRS, GeoRessources Laboratory, BP 70239, F-54506 Vandoeuvre-lès-Nancy, France.
Phys Chem Chem Phys. 2021 Apr 14;23(14):8767-8777. doi: 10.1039/d1cp00163a. Epub 2021 Mar 30.
The relationships between the frequency shift of the ν stretching bands of CH and N with pressure (or density) and composition have been previously provided in the literature as reliable parameters for accurate empirical barometers and densimeters for the direct determination of the pressure or density of gas mixtures. However, the latter results still remain a pure description of the experimental data without any interpretation of the physical mechanisms hidden behind the variation trend of the observed peak position. The present paper is devoted to interpreting the origin of the pressure-induced vibrational frequency shifts of the ν stretching bands of CH and N within CH-CO, N-CO and CH-N binary mixtures at the molecular level. Two different theoretical models (i.e., the Lennard-Jones 6-12 potential approximation - LJ, and the generalized perturbed hard-sphere fluid - PHF) are used to intuitively and qualitatively assess the variation trend as well as the magnitude of the frequency shift of the CH and Nν bands for an in-depth understanding. Thereby, the contribution of the attractive and repulsive solvation-mean forces to the variation of the Raman frequency shift as a function of pressure and composition is assessed. A predictive model of the variation trend of the frequency shift of the CHν band as a function of pressure (up to 3000 bars), density and composition within CH-N and CH-CO binary mixtures is then provided.
CH和N的ν伸缩带的频移与压力(或密度)及组成之间的关系,先前已在文献中给出,作为用于直接测定气体混合物压力或密度的精确经验气压计和密度计的可靠参数。然而,后者的结果仍然只是对实验数据的纯粹描述,没有对观察到的峰位置变化趋势背后隐藏的物理机制进行任何解释。本文致力于在分子水平上解释CH-CO、N-CO和CH-N二元混合物中CH和N的ν伸缩带的压力诱导振动频移的起源。使用两种不同的理论模型(即 Lennard-Jones 6-12 势近似 - LJ和广义微扰硬球流体 - PHF)直观且定性地评估CH和Nν带频移的变化趋势以及大小,以便深入理解。由此,评估了吸引和排斥溶剂化平均力对拉曼频移随压力和组成变化的贡献。然后提供了CH-N和CH-CO二元混合物中CHν带频移随压力(高达3000巴)、密度和组成变化趋势的预测模型。