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Beyond Size Complementary Factors in Anion-Tetralactam Macrocycle Complexes: From Intrinsic Gas-Phase to
Magdalena Zimnicka1, Kinga Kozłowska1, Witold Danikiewicz1
1Mass Spectrometry Group, Institute of Organic Chemistry, Polish Academy of Sciences, Kasprzaka 44/52, 01-224 Warszawa, Poland.
This study evaluated anion-macrocycle complex stability using mass spectrometry and theory. The chloride anion (Cl-) showed the strongest binding with the tetralactam macrocycle receptor (1).
Area of Science:
- Supramolecular Chemistry
- Analytical Chemistry
- Computational Chemistry
Background:
- Macrocyclic receptors are crucial for selective anion recognition.
- Understanding anion-macrocycle interactions is key for developing sensors and separation technologies.
- Gas-phase studies provide fundamental insights into binding affinities, free from solvent effects.
Purpose of the Study:
- To evaluate the gas-phase affinities of various anions towards a model tetralactam-based macrocycle receptor (1).
- To determine the stability of anion-receptor complexes (1 + X-) against dissociation.
- To support experimental findings with theoretical calculations and predict solvent effects.
Main Methods:
- Gas-phase dissociation studies using mass spectrometry.
- Theoretical calculations employing density functional theory (DFT-PBE0).
- Symmetry-adapted perturbation theory (SAPT) for binding energy partition and electrostatic contribution scaling (1/εr approach).
Main Results:
- The macrocycle receptor (1) exhibited tailor-made gas-phase affinity for the chloride anion (Cl-).
- Complexes with salicylate anion (SA-) and hydrogen sulfate anion (HSO4-) were the weakest.
- Other anion complexes showed low stability dispersion (<1.2 kcal·mol⁻¹).
- High deformation energy and solvation energy differences explained discrepancies for F- and H2PO4- complexes in solution.
Conclusions:
- The tetralactam macrocycle (1) demonstrates selective binding for specific anions in the gas phase.
- Gas-phase binding affinities do not always directly translate to solution-phase stability due to solvation effects.
- Computational methods, combined with experimental data, are essential for understanding complex host-guest interactions.
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