SolvateIt : A Tool for Solvating Molecules. A Case Study of Phloroglucinol in Solution

The explicit first solvation shell remains a pivotal challenge in quantum chemical studies of solution-phase systems. A surface coverage-based protocol to construct explicit solvation environment is presented, in which the number and arrangement of solvent molecules emerge from the percentage of Solvent Accessible Surface (SAS) surrounding the solute rather than being user-defined. This strategy is implemented in a computational tool to ensure reproducibility. Phloroglucinol (PG) in ethanol is analyzed to validate this approach, comparing in vacuum, implicit solvent, and explicit ethanol systems corresponding to 10%, 25%, 50%, and 90% SAS coverage. Density Functional Theory calculations within a QM/QM methodology reveal that full first-shell improves the prediction of solvent-perturbed properties. In particular, the dipole moment obtained with 90% SAS coverage deviates by only 0.7% from the experimental value. Explicit solvation is shown to strongly influence geometry, electrostatic potential and intermolecular interactions, highlighting the importance of physically motivated solvation shell construction.

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Publication Details

Journal
Journal of Computational Chemistry
Published
2026-08-21
DOI
https://doi.org/10.1002/jcc.70486
Primary Topic
Spectroscopy and Quantum Chemical Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

SolvateIt : A Tool for Solvating Molecules. A Case Study of Phloroglucinol in Solution

María Eugenia Castro, Francisco J. Meléndez, Andrea Moreno-Ceballos, Yamil Hernández Urquieta
Journal of Computational Chemistry
Spectroscopy and Quantum Chemical Studies
article

SolvateIt : A Tool for Solvating Molecules. A Case Study of Phloroglucinol in Solution

María Eugenia Castro, Francisco J. Meléndez, Andrea Moreno-Ceballos, Yamil Hernández Urquieta
article en

Abstract

The explicit first solvation shell remains a pivotal challenge in quantum chemical studies of solution-phase systems. A surface coverage-based protocol to construct explicit solvation environment is presented, in which the number and arrangement of solvent molecules emerge from the percentage of Solvent Accessible Surface (SAS) surrounding the solute rather than being user-defined. This strategy is implemented in a computational tool to ensure reproducibility. Phloroglucinol (PG) in ethanol is analyzed to validate this approach, comparing in vacuum, implicit solvent, and explicit ethanol systems corresponding to 10%, 25%, 50%, and 90% SAS coverage. Density Functional Theory calculations within a QM/QM methodology reveal that full first-shell improves the prediction of solvent-perturbed properties. In particular, the dipole moment obtained with 90% SAS coverage deviates by only 0.7% from the experimental value. Explicit solvation is shown to strongly influence geometry, electrostatic potential and intermolecular interactions, highlighting the importance of physically motivated solvation shell construction.

Journal of Computational ChemistryVol. 47(23)
Benemérita Universidad Autónoma de Puebla (MX)
Secretaría de Educación Pública, Benemérita Universidad Autónoma de Puebla, Vicerrectoría de Investigación y Estudios de Posgrado, Benemérita Universidad Autónoma de Puebla
Openalex Percentile: Top 12%
Spectroscopy and Quantum Chemical Studies
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SolvateIt : A Tool for Solvating Molecules. A Case Study of Phloroglucinol in Solution — María Eugenia Castro, Francisco J. Meléndez, et al. · Journal of Computational Chemistry (2026) | TGRS Research Map | TGRS