Density Functional Theory Calculation of pKa’s of Thiols in Aqueous Solution Using Explicit Water Molecules and the Polarizable Continuum Model
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- 作者：Bishnu Thapa ; H. Bernhard Schlegel
- 刊名：Journal of Physical Chemistry A
- 出版年：2016
- 出版时间：July 21, 2016
- 年：2016
- 卷：120
- 期：28
- 页码：5726-5735
- 全文大小：492K
- 年卷期：0
- ISSN：1520-5215
文摘
The pKa’s of substituted thiols are important for understanding their properties and reactivities in applications in chemistry, biochemistry, and material chemistry. For a collection of 175 different density functionals and the SMD implicit solvation model, the average errors in the calculated pKa’s of methanethiol and ethanethiol are almost 10 pKa units higher than for imidazole. A test set of 45 substituted thiols with pKa’s ranging from 4 to 12 has been used to assess the performance of 8 functionals with 3 different basis sets. As expected, the basis set needs to include polarization functions on the hydrogens and diffuse functions on the heavy atoms. Solvent cavity scaling was ineffective in correcting the errors in the calculated pKa’s. Inclusion of an explicit water molecule that is hydrogen bonded with the H of the thiol group (in neutral) or S– (in thiolates) lowers error by an average of 3.5 pKa units. With one explicit water and the SMD solvation model, pKa’s calculated with the M06-2X, PBEPBE, BP86, and LC-BLYP functionals are found to deviate from the experimental values by about 1.5–2.0 pKa units whereas pKa’s with the B3LYP, ωB97XD and PBEVWN5 functionals are still in error by more than 3 pKa units. The inclusion of three explicit water molecules lowers the calculated pKa further by about 4.5 pKa units. With the B3LYP and ωB97XD functionals, the calculated pKa’s are within one unit of the experimental values whereas most other functionals used in this study underestimate the pKa’s. This study shows that the ωB97XD functional with the 6-31+G(d,p) and 6-311++G(d,p) basis sets, and the SMD solvation model with three explicit water molecules hydrogen bonded to the sulfur produces the best result for the test set (average error −0.11 ± 0.50 and +0.15 ± 0.58, respectively). The B3LYP functional also performs well (average error −1.11 ± 0.82 and −0.78 ± 0.79, respectively).