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Molecular Recognition and Chiral Discrimination from NMR and Multi-Scale Simulations.

Tadeu Luiz Gomes Cabral1,2, João Pedro Brussolo da Silva1, Claudio Francisco Tormena1

  • 1Physical Organic Chemistry Lab, Chemistry Institute, University of Campinas - UNICAMP, Campinas, São Paulo, 13083-970, Brazil.

Chemistry (Weinheim an Der Bergstrasse, Germany)
|March 20, 2025
PubMed
Summary

This study uses advanced Nuclear Magnetic Resonance (NMR) and computational methods to understand how chiral molecules like Mandelic Acid are distinguished. The research reveals key interactions enabling enantioselective recognition, crucial for pharmaceutical development.

Keywords:
NMR spectroscopychiralitydiffusionmolecular dynamicsquantum chemical calculations

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Area of Science:

  • Analytical Chemistry
  • Computational Chemistry
  • Stereochemistry

Background:

  • Chiral molecules are vital in pharmaceuticals and agrochemicals, necessitating effective enantiomer separation and identification.
  • Distinguishing stereoisomers in solution presents a significant analytical hurdle.
  • Nuclear Magnetic Resonance (NMR) combined with Matrix-Assisted Diffusion-Ordered Spectroscopy (MAD) offers potential for analyzing chiral mixtures, but underlying interactions require deeper understanding.

Purpose of the Study:

  • To investigate the enantioselective discrimination of Mandelic Acid (MA) enantiomers using (R)-BINOL and (S)-BINOL.
  • To elucidate the intermolecular interactions responsible for chiral recognition in these systems.
  • To integrate experimental MAD data with computational modeling for a comprehensive analysis.

Main Methods:

  • Experimental Matrix-Assisted Diffusion-Ordered Spectroscopy (MAD) studies.
  • Molecular dynamics (MD) simulations to analyze diffusion coefficients of chiral complexes.
  • Quantum mechanical (QM) calculations to determine binding preferences and Gibbs free energies.

Main Results:

  • MD simulations successfully explained differences in diffusion coefficients between heterochiral complexes.
  • QM calculations confirmed enantioselective binding preferences of BINOL for MA enantiomers, linked to Gibbs free energy differences.
  • Identified fundamental interactions and structural criteria governing NMR shielding and diffusion trends.

Conclusions:

  • The integrated experimental and computational approach provides a thorough understanding of chiral recognition mechanisms.
  • Demonstrated the heterochiral preference of BINOL for Mandelic Acid enantiomers.
  • Advances chiral analysis techniques and provides a foundation for future stereoisomer identification and recognition studies.