Centro Conjunto de Investigación en Química Sustentable UAEM-UNAM, Unidad San Cayetano, Carretera Toluca⁻Atlacomulco km 14.5, Personal de la UNAM, Toluca 50200, Mexico.
Molecules. 2018 Dec 26;24(1):79. doi: 10.3390/molecules24010079.
The theoretical calculation of pa values for Brønsted acids is a challenging task that involves sophisticated and time-consuming methods. Therefore, heuristic approaches are efficient and appealing methodologies to approximate these values. Herein, we used the maximum surface electrostatic potential () on the acidic hydrogen atoms of carboxylic acids to describe the H-bond interaction with water (the same descriptor that is used to characterize σ-bonded complexes) and correlate the results with experimental pa values to obtain a predictive model for other carboxylic acids. We benchmarked six different methods, all including an implicit solvation model (water): Five density functionals and the Møller⁻Plesset second order perturbation theory in combination with six different basis sets for a total of thirty-six levels of theory. The ωB97X-D/cc-pVDZ level of theory stood out as the best one for consistently reproducing the reported pa values, with a predictive power of 98% correlation in a test set of ten other carboxylic acids.
布朗斯特酸的 pa 值的理论计算是一项具有挑战性的任务,涉及复杂和耗时的方法。因此,启发式方法是一种有效的、有吸引力的方法,可以用来近似这些值。在此,我们使用羧酸酸性氢原子上的最大表面静电势()来描述与水的氢键相互作用(与用于表征 σ 键合配合物的相同描述符),并将结果与实验 pa 值相关联,以获得其他羧酸的预测模型。我们对六种不同的方法进行了基准测试,所有方法都包含一个隐式溶剂模型(水):五种密度泛函和 Møller⁻Plesset 二级微扰理论与六种不同的基组相结合,共 36 个理论水平。ωB97X-D/cc-pVDZ 理论水平表现突出,能够始终如一地重现报告的 pa 值,在包含另外十种羧酸的测试集中具有 98%的相关性预测能力。