Kaminský Jakub, Chalupský Jakub, Štěpánek Petr, Kříž Jan, Bouř Petr
Institute of Organic Chemistry and Biochemistry, Academy of Sciences , Flemingovo náměstí 2, 16610 Prague, Czech Republic.
NMR Research Unit, Faculty of Science, University of Oulu , P.O. Box 3000, 90014 Oulu, Finland.
J Phys Chem A. 2017 Nov 30;121(47):9064-9073. doi: 10.1021/acs.jpca.7b10120. Epub 2017 Nov 17.
Absorption and magnetic circular dichroism (MCD) spectroscopies are powerful and simple methods to discriminate among various compounds. Polycyclic aromatic hydrocarbons provide particularly strong signal, which, for example, facilitates their detection in the environment. However, interpretation of the spectra is often based on quantum-chemical simulations, providing a limited precision only. In the present work, we use time-dependent density functional theory and complete active space second-order perturbation theories to understand spectral features observed in a series of naphthalene, anthracene, phenanthrene, and three larger compounds. The electronic computations provided reasonable agreement with the experiment for the smaller molecules, while a large error persisted for the bigger ones. However, many discrepancies could be explained by vibrational splitting of the electronic transitions across the entire spectral range. Compared to plain absorption, MCD spectral bands and their vibrational splitting were more specific for each aromatic molecule. The computational tools allowing simulations of detailed vibrational features in the electronic spectra thus promise to open a qualitatively new chapter in the spectroscopy of aromatic compounds.
吸收光谱和磁圆二色性(MCD)光谱是区分各种化合物的强大而简单的方法。多环芳烃能产生特别强的信号,例如,这便于它们在环境中的检测。然而,光谱的解释通常基于量子化学模拟,其精度有限。在本工作中,我们使用含时密度泛函理论和完全活性空间二阶微扰理论来理解在一系列萘、蒽、菲以及三种更大的化合物中观察到的光谱特征。对于较小的分子,电子计算结果与实验结果吻合得较为合理,但对于较大的分子仍存在较大误差。然而,在整个光谱范围内,许多差异可以通过电子跃迁的振动分裂来解释。与普通吸收相比,MCD光谱带及其振动分裂对每种芳香族分子更具特异性。因此,能够模拟电子光谱中详细振动特征的计算工具有望为芳香族化合物的光谱学开启一个定性的新篇章。