Dipartimento di Chimica "Giacomo Ciamician", Università di Bologna , Via F. Selmi 2, 40126 Bologna, Italy.
Scuola Normale Superiore , Piazza dei Cavalieri 7, I-56126 Pisa, Italy.
Acc Chem Res. 2018 Feb 20;51(2):548-556. doi: 10.1021/acs.accounts.7b00603. Epub 2018 Feb 5.
The prediction and interpretation of structural properties are the starting points for a deep understanding of thermochemistry, kinetics, and spectroscopic signatures of molecular systems. To give an example, detailed knowledge of the conformational behavior of the main building blocks of biomolecules in the gas phase (i.e., without the perturbing effect of the environment) is a mandatory prerequisite toward the understanding of the role played by different interactions in determining the biological activity in terms of structure-activity relationships. The first step to take is an unambiguous definition of molecular structure. We address the so-called Born-Oppenheimer equilibrium structure, which is defined in a rigorous manner and isotopically independent, and the target accuracy. For the latter, we aim at so-called "spectroscopic" accuracy, which implies uncertainties of a few milliangstroms for bond lengths and smaller than a tenth of degree for angles. If on one side the continuous enhancements of the experimental techniques give access to new and unprecedented spectroscopic determinations, on the other side they require increasing efforts for an unbiased interpretation and analysis. Among the pieces of information, accurate molecular structures play a particularly important role. Indeed, there is a strong relationship between the experimental outcome and the electronic structure of the system. Spectroscopic techniques, in particular those exploited in the gas phase, are therefore accurate and reliable sources for structural information. However, it is seldom straightforward to derive molecular structures directly from the experimental information. Indeed, even in the favorable case of investigations in the gas phase, vibrational effects are always present, and disentangling their contributions requires collection of information for all vibrational modes, a nearly impossible task. To overcome these limitations, joint theory-spectroscopy strategies can be identified, which are referred to as "top-down" and "bottom-up". The first approach, denoted as the semiexperimental approach, relies on extracting from experimental outcomes the equilibrium structure by using quantum-chemical computations to recover vibrational effects. The bottom-up approach consists in verifying the computed equilibrium geometry by means of a comparison between calculated and experimental spectroscopic parameters that probe structural characteristics. In this contribution, we try to review the most important challenges in accurate molecular structure determinations, with particular emphasis on the "solution" provided by a joint theoretical-experimental approach and on the current state of the art. Starting from the illustration of different strategies, we proceed by addressing the increasing complexity in the derivation of equilibrium geometries: we start from the construction of a database of accurate structures, we then face the problem of extending the dimension of the systems amenable to accurate structural determinations, and finally we move to the challenge of understanding the nature of intermolecular interactions.
预测和解释结构性质是深入了解热化学、动力学和分子系统光谱特征的起点。举个例子,详细了解生物分子主要构建块在气相中的构象行为(即没有环境的干扰作用)是理解不同相互作用在确定结构-活性关系方面所起的生物活性的必要前提。第一步是明确分子结构的定义。我们讨论所谓的 Born-Oppenheimer 平衡结构,它是严格定义的,与同位素无关,并且目标精度。对于后者,我们的目标是所谓的“光谱”精度,这意味着键长的不确定度为几毫埃,角度的不确定度小于十分之一度。一方面,实验技术的不断提高使新的和前所未有的光谱测定成为可能,另一方面,它们需要越来越多的努力进行无偏的解释和分析。在这些信息中,准确的分子结构起着特别重要的作用。事实上,实验结果和系统的电子结构之间存在很强的关系。因此,光谱技术,特别是在气相中使用的那些技术,是结构信息的准确和可靠来源。然而,直接从实验信息中推导出分子结构并不总是那么简单。事实上,即使在气相中进行研究的有利情况下,振动效应也总是存在的,要解开它们的贡献需要收集所有振动模式的信息,这几乎是不可能的任务。为了克服这些限制,可以确定联合理论-光谱策略,称为“自上而下”和“自下而上”。第一种方法,称为半实验方法,依赖于通过量子化学计算从实验结果中提取平衡结构,以恢复振动效应。自下而上的方法是通过比较计算和实验光谱参数来验证计算出的平衡几何形状,这些参数探测结构特征。在这篇综述中,我们试图回顾准确分子结构测定中最重要的挑战,特别强调联合理论-实验方法提供的“解决方案”以及当前的最新技术。从不同策略的说明开始,我们逐步讨论平衡几何形状推导的复杂性增加:我们从构建准确结构的数据库开始,然后面对扩展可进行准确结构测定的系统维度的问题,最后我们着手解决理解分子间相互作用性质的挑战。