pK_a Calculations of Aliphatic Amines, Diamines, and Aminoamides via Density Functional Theory with a Poisson−Boltzmann Continuum Solvent Model
Abstract
In order to make reliable predictions of the acid−base properties of macroligands with a large number of ionizable sites such as dendrimers, one needs to develop and validate computational methods that accurately estimate the acidity constants (pK_a) of their chemical building blocks. In this article, we couple density functional theory (B3LYP) with a Poisson−Boltzmann continuum solvent model to calculate the aqueous pK_a of aliphatic amines, diamines, and aminoamides, which are building blocks for several classes of dendrimers. No empirical correction terms were employed in the calculations except for the free energy of solvation of the proton (H^+) adjusted to give the best match with experimental data. The use of solution-phase optimized geometries gives calculated pK_a values in excellent agreement with experimental measurements. The mean absolute error is <0.5 pK_a unit in all cases. Conversely, calculations for diamines and aminoamides based on gas-phase geometries lead to a mean absolute error >0.5 pK_a unit compared to experimental measurements. We find that geometry optimization in solution is essential for making accurate pK_a predictions for systems possessing intramolecular hydrogen bonds.
Additional Information
© 2007 American Chemical Society. Received 6 February 2007. Published online 1 May 2007. Published in print 1 May 2007. This work was carried out in the Materials Process Simulation Center of the Division of Chemistry and Chemical Engineering at the California Institute of Technology. Funding for this work was provided by the National Science Foundation (NIRT CBET Award No. 0506951). Supplemental funding for this research was provided by the U.S. Environmental Protection Agency (STAR Grant RD-83252501). The computational facilities used in these studies were funded by grants from ARO-DURIP, ONR-DURIP, and NSF-MRI. All DFT calculations were carried out using the Jaguar 6.5 quantum chemistry software.Attached Files
Supplemental Material - jp071040tsi20070206_031214.pdf
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Additional details
- Eprint ID
- 78191
- Resolver ID
- CaltechAUTHORS:20170614-082601127
- CBET-0506951
- NSF
- RD-83252501
- Environmental Protection Agency (EPA)
- Army Research Office (ARO)
- Office of Naval Research (ONR)
- Created
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2017-06-14Created from EPrint's datestamp field
- Updated
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2021-11-15Created from EPrint's last_modified field