Organic ion association in aqueous phase and ab initio-based force fields: The case of carboxylate/ammonium salts

• Published in: The Journal of chemical physics 2017-10, Vol.147 (16), p.161720-161720
• Main Authors: Houriez, Céline, Vallet, Valérie, Réal, Florent, Meot-Ner (Mautner), Michael, Masella, Michel
• Format: Article
• Language: English
• Subjects: Chemical Physics; Computer simulation; Ion association; Ion pairs; Molecular dynamics; Organic chemistry; Perturbation theory; Physics; Saline solutions; Water; Water chemistry
• ISSN: 0021-9606; 1089-7690
• DOI: 10.1063/1.4997996

We performed molecular dynamics simulations of carboxylate/methylated ammonium ion pairs solvated in bulk water and of carboxylate/methylated ammonium salt solutions at ambient conditions using an ab initio-based polarizable force field whose parameters are assigned to reproduce only high end quantum computations, at the Møller-Plesset second-order perturbation theory/complete basis set limit level, regarding single ions and ion pairs as isolated and micro-hydrated in gas phase. Our results agree with the available experimental results regarding carboxylate/ammonium salt solutions. For instance, our force field approach predicts the percentage of acetate associated with ammonium ions in C H 3 C O O − / C H 3 N H 3 + solutions at the 0.2–0.8M concentration scale to range from 14% to 35%, in line with the estimates computed from the experimental ion association constant in liquid water. Moreover our simulations predict the number of water molecules released from the ion first hydration shell to the bulk upon ion association to be about 2.0 ± 0.6 molecules for acetate/protonated amine ion pairs, 3.1 ± 1.5 molecules for the H C O O − / N H 4 + pair and 3.3 ± 1.2 molecules for the CH3COO−/(CH3)4N+ pair. For protonated amine-based ion pairs, these values are in line with experiment for alkali/halide pairs solvated in bulk water. All these results demonstrate the promising feature of ab initio-based force fields, i.e., their capacity in accurately modeling chemical systems that cannot be readily investigated using available experimental techniques.