Quantum Chemical Prediction of pKa Values of Cationic Ion-Exchange Groups in Polymer Electrolyte Membranes

Vincent De Paul Nzuwah Nziko, Jiun Le Shih, Santa Jansone-Popova, Vyacheslav S. Bryantsev

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

The durability of anion-exchange membranes (AEMs) in alkaline fuel cells is largely determined by the stability of anion-exchange groups. Despite continuous research efforts, the commonly employed cations still have limited stability against hydroxide that can act as a strong base and nucleophile. This work is concerned with base-catalyzed degradation of organic cations initiated by proton abstraction to form reactive ylides or carbenes. We report on the performance of 24 methods combining density functional theory and electronic structure methods with implicit solvation calculations for predicting pKa values of organic cations in water and DMSO. The most accurate computational protocols are obtained using a combination of M06-2X/6-311++G∗ with the SMD solvation model for water (the mean absolute error of 0.4 pKa units) and B3LYP/aug-cc-pVTZ with the IEFPCM solvation model for DMSO (the mean absolute error of 1.4 pKa units). The aqueous pKa calculation protocol is cross-validated against the experimental C-H acidity constants outside the conventional range of 0-14 pKa values. This study rationalizes alkaline degradation of imidazolium cations with C2-alkyl substituents and provides a theoretical scale of C-H acidity for potential anion-exchange groups in AEMs.

Original languageEnglish
Pages (from-to)2490-2501
Number of pages12
JournalJournal of Physical Chemistry C
Volume122
Issue number5
DOIs
StatePublished - Feb 8 2018

Funding

This work was funded by the Laboratory Directed Research and Development Program of Oak Ridge National Laboratory, managed by UT-Battelle, LLC, for the U.S. Department of Energy. This research used resources of the National Energy Research Scientific Computing Center, a DOE Office of Science User Facility supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231.

FundersFunder number
DOE Office of Science
National Energy Research Scientific Computing Center
UT-Battelle
U.S. Department of Energy
Office of Science
Oak Ridge National Laboratory
Laboratory Directed Research and Development

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