Instituto de Química, Universidade Estadual de Campinas, P.O. Box 6154, Barão Geraldo, 13083-970 Campinas, São Paulo, Brazil.
Instituto de Ciências Exatas e Tecnologia, Universidade Federal do Amazonas, Campus de Itacoatiara, 69100-021 Itacoatiara, Amazonas, Brazil.
J Phys Chem A. 2021 Jan 14;125(1):65-73. doi: 10.1021/acs.jpca.0c08283. Epub 2020 Dec 24.
The direct method (HA ⇌ A + H) for calculating p of monoprotic acids is as efficient as thermodynamic cycles. A selective adjustment of proton free energy in solution was used with experimental p data. The procedure was analyzed at different levels of theory. The solvent was described by the solvation model density (SMD) model, including or not explicit water molecules, and three training sets were tested. The best performance under any condition was obtained by the G4CEP method with a mean absolute error close to 0.5 units of p and an uncertainty around ±1 unit of p for any training set including or excluding explicit solvent molecules. PM6 and AM1 performed very well with average absolute errors below 0.75 units of p but with uncertainties up to ±2 units of p, using only the SMD solvent model. Density functional theory (DFT) results were highly dependent on the basis functions and explicit water molecules. The best performance was observed for the local spin density approximation (LSDA) functional in almost all calculations and under certain conditions, as high as those obtained by G4CEP. Basis set complexity and explicit solvent molecules were important factors to control DFT calculations. The training set molecules should consider the diversity of compounds.
对于一元弱酸,计算其质子化常数(p)的直接法(HA ⇌ A + H)与热力学循环法同样有效。本方法通过实验 p 值选择性地调整了溶液中的质子自由能。该程序在不同的理论水平上进行了分析。溶剂用溶剂化模型密度(SMD)模型描述,包括或不包括显式水分子,共测试了三个训练集。在任何条件下,G4CEP 方法的性能最佳,平均绝对误差接近 0.5 个 p 单位,任何包含或不包含显式溶剂分子的训练集的不确定性约为 1 个 p 单位。PM6 和 AM1 也表现出色,平均绝对误差低于 0.75 个 p 单位,但不确定性高达 2 个 p 单位,仅使用 SMD 溶剂模型。密度泛函理论(DFT)结果高度依赖于基函数和显式水分子。在几乎所有计算中,局部自旋密度近似(LSDA)函数的性能最佳,在某些条件下,其性能与 G4CEP 相当。基组复杂度和显式溶剂分子是控制 DFT 计算的重要因素。训练集分子应考虑化合物的多样性。