Prediction of Alkanolamine p <i>K</i> <sub>a</sub> Values by Combined Molecular Dynamics Free Energy Simulations and ab Initio Calculations
Bibliographic record
Abstract
Knowledge of aqueous protonation constants (pKa) of chemical species is of significant importance in CO2 reactive absorption system design. Their theoretical prediction has mainly relied on implicit solvent models, and the performance of explicit solvent simulations based on classical force fields have rarely been studied. In this paper, we report the results of simulations in explicit TIP3P water with the General Amber Force Field (GAFF) and with the SMD continuum solvent method for the deprotonation pKa values of 29 conformationally diverse alkanolamine species commonly used in CO2 capture. In both cases, we employ the Tissandier value for the hydration free energy of the proton (“The proton’s absolute aqueous enthalpy and Gibbs free energy of solvation from cluster–ion solvation data”, Tissandier, M.D. et al., J. Phys. Chem. A, 1998, 102, 7787–7794). The ideal–gas reaction free energies and their uncertainties were obtained from electronic structure calculations using five different compound methods (CBS-QB3, CBS-APNO, G3, G3B3, G4). The hydration free energies of the neutral and protonated forms of the alkanolamines were calculated using the semiempirical AM1-BCC charge method, in addition to several partial atomic charge sets based on the RESP fitting method using electrostatic potentials computed at different ab initio theory/levels in the gas phase as well as in the presence of the solvent reaction field. We incorporated the Galvani surface potential of the ions in the (pKa) calculations. Although the individual species hydration free energies show significant sensitivity to the charge model, the resulting pKa values from different charge models are quite similar. Moreover, we found that the protonated amine hydration free energies show slightly less sensitivity to the partial charge method than in the case of the neutral amine. While the predicted pKa values based on the RESP charges yield reasonable agreement with the experimental data, they are prone to occasional disagreement for molecules of complex geometry. The best performance was achieved using the semiempirical AM1-BCC charges, which showed a mean absolute error of less than 0.73 pKa units in comparison with experimental data. Our results suggest that the AM1-BCC charge method may be used to model electrolyte solutions encountered in the CO2 reactive absorption process.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".