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Updated: Feb 15, 2026

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Published on: October 10, 2016
Solvent Modulation of Aromatic Substituent Effects in Molecular Balances Controlled by CH-π Interactions
Bright U Emenike1, Ronald A Spinelle1, Ambar Rosario1
1Department of Chemistry, State of University of New York , Old Westbury, New York 11568, United States.
This study reveals a quantitative link between substituent effects in CH-π interactions and solvent properties. Aromatic substituent effects in CH-π interactions are directly influenced by the hydrogen-bond accepting ability of the solvent.
Area of Science:
- Chemical Physics
- Supramolecular Chemistry
- Physical Organic Chemistry
Background:
- CH-π interactions are vital in biological and chemical systems.
- Solvation and substituent effects influence CH-π interactions, but their interplay is not well understood.
Purpose of the Study:
- To quantitatively correlate substituent effects in CH-π interactions with solvent properties.
- To explore the influence of solvation on the interplay between aromatic substituents and CH-π interactions.
Main Methods:
- Conformational analysis of aryl-substituted molecular balances to measure CH-π interaction energies.
- Utilizing Hunter's solvation model to interpret conformational free energy changes.
- Applying Hammett plots to quantify substituent sensitivity (ρ values).
Main Results:
- A direct quantitative correlation was found between substituent effects in CH-π interactions and the hydrogen-bond acceptor constants of the solvent.
- The sensitivity of aromatic substituent effects (ρ) linearly correlates with the solvent's hydrogen-bond acceptor propensity (βs): ρ = 0.06βs - 0.04.
- Solvation/desolvation of the aryl proton was identified as the key factor controlling substituent effects.
Conclusions:
- The study establishes a predictive model for CH-π interactions based on solvent properties.
- This finding deepens the understanding of non-covalent interactions in chemical and biological contexts.
- The quantitative relationship provides a valuable tool for designing molecules and predicting their behavior in different solvents.
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