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分子酸度(pK)与振动光谱之间的相关性。

Correlation between molecular acidity (pK) and vibrational spectroscopy.

作者信息

Verma Niraj, Tao Yunwen, Marcial Bruna Luana, Kraka Elfi

机构信息

Computational and Theoretical group (CATCO), Department of Chemistry, Southern Methodist University, 3215 Daniel Ave, Dallas, TX, 75275-0314, USA.

Department of Chemistry, New York University, 100 Wash. Sq. East, New York, NY, 10003, USA.

出版信息

J Mol Model. 2019 Jan 30;25(2):48. doi: 10.1007/s00894-019-3928-4.

Abstract

Molecular acidity is an important physicochemical property, which is often represented by the pK value as the measure of acidity strength. However, the accurate calculation and prediction of pK values is still an unsolved problem for computational chemistry. In this work, we present for the first time a direct correlation between pK values and local vibrational frequencies for 15 different groups of compounds with various substituents. This correlation was derived from a quadratic function of two selected local vibrational frequencies as independent variables used to characterize electronic structure features influencing the molecular acidity. In total, 180 molecules were investigated with this correlation model. For each group of molecules, we found a strong correlation with root mean squared errors and mean absolute errors of less than 0.11 and 0.09 pK units, respectively. The correlation between pK and local vibrational modes, established in this work, can be generally applied to all compounds whose pK values are dominated by electronic substituent effects. In this regard, the new correlation model constitutes a powerful link between the well-known Hammett equation and vibrational spectroscopy. Furthermore, it allows a quick prediction of the pK values for new group members with different substituents. Graphical Abstract pK estimation via vibrational spectroscopy.

摘要

分子酸度是一种重要的物理化学性质,通常用pK值来表示酸度强度。然而,对于计算化学来说,pK值的准确计算和预测仍然是一个未解决的问题。在这项工作中,我们首次提出了15组具有不同取代基的不同化合物的pK值与局部振动频率之间的直接关联。这种关联源自两个选定的局部振动频率的二次函数,这两个频率作为自变量用于表征影响分子酸度的电子结构特征。总共用这个关联模型研究了180个分子。对于每组分子,我们发现其与均方根误差和平均绝对误差分别小于0.11和0.09 pK单位有很强的相关性。在这项工作中建立的pK与局部振动模式之间的关联,通常可应用于所有pK值受电子取代基效应主导的化合物。在这方面,新的关联模型构成了著名的哈米特方程与振动光谱之间的有力联系。此外,它还能快速预测具有不同取代基的新组成员的pK值。图形摘要 通过振动光谱进行pK估计。

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