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我们能从三维红外光谱学到什么?

What can we learn from three-dimensional infrared spectroscopy?

机构信息

Physikalisch-Chemisches Institut, Universität Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland.

出版信息

Acc Chem Res. 2009 Sep 15;42(9):1412-22. doi: 10.1021/ar900028k.

Abstract

The low-frequency part of the vibrational spectrum of a liquid is dominated by intermolecular degrees of freedom. Hence, it reports on the motion of solvent molecules with respect to each other rather than on the intramolecular details of individual molecules. In hydrogen-bonded liquids, in particular water, a detailed understanding of the low-frequency spectrum is enormously complicated because of the complex hydrogen-bond network, which constantly rearranges on an ultrafast femtosecond to picosecond time scale. Many of the peculiar properties of water have their origin in these processes. Conventional far-infrared (far-IR) or Raman spectroscopy, as well as two-dimensional IR (2D-IR) spectroscopy, are all linear with respect to the intermolecular (solvent) degrees of freedom. These spectroscopies tell us much about the density of states in the low-frequency range but little about the dynamics of the hydrogen-bond making and breaking. In this Account, we propose three-dimensional IR (3D-IR) spectroscopy as a novel tool that is nonlinear with respect to these low-frequency degrees of freedom; hence, it may provide much more detailed insights into intermolecular dynamics. The first experimental realizations of 3D-IR spectroscopy have been demonstrated in the literature; the information it affords is similar to that of 2D-Raman spectroscopy. Three-dimensional IR spectroscopy will, for the first time, reveal whether the low-frequency part of the vibrational spectrum of liquids has to be considered mostly homogeneously or inhomogeneously broadened. Alternately, we may find that either of these classifications is completely wrong because the normal mode picture fails when thermal energy is of the same order of magnitude as the ruggedness of the intramolecular potential energy surface. We briefly introduce the theoretical background of 3D-IR spectroscopy and discuss two of its most promising applications: (a) the more thorough characterization of non-Gaussian stochastic processes such as the hydrogen-bond dynamics of water and (b) non-Markovian ultrafast exchange processes. In the ultrafast regime, many of the otherwise valid simplifying assumptions of nonequilibrium statistical mechanics (for example, linear response and Markovian dynamics) are likely to fail; 3D-IR spectroscopy will allow us for the first time to experimentally explore their range of validity.

摘要

液体的振动光谱低频部分主要由分子间自由度主导。因此,它反映的是溶剂分子之间的运动,而不是单个分子的分子内细节。在氢键液体中,特别是水,由于复杂的氢键网络,低频谱的详细理解变得极其复杂,该网络在超快飞秒到皮秒时间尺度上不断重新排列。许多水的特殊性质都源于这些过程。传统的远红外(远红外)或拉曼光谱以及二维红外(2D-IR)光谱都与分子间(溶剂)自由度呈线性关系。这些光谱学告诉我们很多关于低频范围内状态密度的信息,但很少关于氢键形成和断裂的动力学信息。在本报告中,我们提出了三维红外(3D-IR)光谱作为一种新的工具,它与这些低频自由度呈非线性关系;因此,它可能提供更详细的分子间动力学信息。文献中已经首次实现了 3D-IR 光谱的实验;它提供的信息与 2D-Raman 光谱相似。3D-IR 光谱将首次揭示液体的振动光谱低频部分是否必须被视为主要均匀或非均匀展宽。或者,我们可能会发现这两种分类都是完全错误的,因为当热能与分子内势能表面的崎岖程度处于同一数量级时,简正模式图就失效了。我们简要介绍了 3D-IR 光谱的理论背景,并讨论了其两个最有前途的应用:(a)更彻底地描述非高斯随机过程,例如水的氢键动力学,(b)非马尔可夫超快交换过程。在超快时间范围内,许多非平衡统计力学中其他有效的简化假设(例如线性响应和马尔可夫动力学)很可能失效;3D-IR 光谱将首次允许我们实验性地探索它们的有效性范围。

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