de Beer Alex G F, Roke Sylvie
Laboratory for Fundamental BioPhotonics (LBP), Institute of Bioengineering (IBI), Institute of Materials Science (IMX), School of Engineering (STI), and Lausanne Centre for Ultrafast Science (LACUS), École Polytechnique Fédérale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland.
J Chem Phys. 2016 Jul 28;145(4):044705. doi: 10.1063/1.4959033.
Aqueous interfaces are omnipresent in nature. Nonlinear optical methods such as second harmonic and sum frequency generation (SHG/SFG) are valuable techniques to access molecular level information from these interfaces. In the interpretation of SHG and SFG data for both scattering and reflection mode experiments, the relation between the second-order hyperpolarizability tensor β(2), a molecular property, and the surface second-order susceptibility χ(2), a surface averaged property, plays a central role. To correctly describe the molecular details of the interface, it needs to be determined how molecules are oriented, and what the influence is of interfacial electrostatic fields and H-bonding on the orientational distribution. Here, we revisit the relations between β(2) and χ(2) and show, by means of a Boltzmann average, that significant energy differences are needed to generate measurable changes in the molecular orientational distribution at the interface. In practice, H-bonding and surface pressure such as applied in a Langmuir trough can be strong enough to alter the shape of the orientational distribution function of water. In contrast, electrostatic fields, such as those present in the Stern layer, will not have a significant impact on the shape of the orientational distribution function of water molecules.
水相界面在自然界中无处不在。诸如二次谐波和和频产生(SHG/SFG)等非线性光学方法是从这些界面获取分子水平信息的宝贵技术。在散射和反射模式实验的SHG和SFG数据解释中,二阶超极化率张量β(2)(一种分子性质)与表面二阶极化率χ(2)(一种表面平均性质)之间的关系起着核心作用。为了正确描述界面的分子细节,需要确定分子的取向方式,以及界面静电场和氢键对取向分布的影响。在此,我们重新审视β(2)与χ(2)之间的关系,并通过玻尔兹曼平均表明,需要显著的能量差异才能在界面处的分子取向分布中产生可测量的变化。实际上,氢键和诸如在Langmuir槽中施加的表面压力可能足够强,足以改变水的取向分布函数的形状。相比之下,诸如Stern层中存在的静电场,对水分子取向分布函数的形状不会产生显著影响。