Delineating the roaming and non-roaming pathways for the NO release in o-nitrofuran and o-nitrothiophene

  • 0Department of Chemistry, Indian Institute of Technology Bombay, Mumbai 400076, India. naresh@chem.iitb.ac.in.
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Summary

This summary is machine-generated.

Researchers experimentally distinguished nitrogen dioxide (NO2) roaming and oxaziridine pathways for nitric oxide (NO) release. The study used o-nitrofuran and o-nitrothiophene, detailing energy thresholds for each pathway.

Area Of Science

  • Photochemistry
  • Chemical Kinetics
  • Computational Chemistry

Background

  • Nitric oxide (NO) release from nitroaromatics is crucial in various chemical processes.
  • Understanding the mechanisms of NO release, such as roaming and oxaziridine pathways, is key to controlling these reactions.
  • Previous studies often used nitrobenzene, necessitating exploration with alternative molecules.

Purpose Of The Study

  • To experimentally differentiate between the NO2 roaming and oxaziridine pathways for NO release.
  • To investigate the role of excitation energy in determining which pathway dominates.
  • To compare experimental findings with quantum chemical calculations.

Main Methods

  • Photolysis of o-nitrofuran and o-nitrothiophene using tunable UV excitation.
  • Measurement of NO translational energy distributions as a function of excitation energy.
  • Quantum chemical calculations (e.g., DFT) to model reaction pathways and energy barriers.

Main Results

  • The NO2 roaming and oxaziridine pathways were successfully delineated using o-nitrofuran and o-nitrothiophene.
  • A threshold excitation energy of 4.66 eV was identified, distinguishing the two pathways.
  • Quantum chemical calculations supported the experimental findings, placing the roaming pathway (4.89 eV) energetically above the oxaziridine pathway (4.50 eV).

Conclusions

  • The study provides clear experimental evidence for distinct NO2 roaming and oxaziridine mechanisms in NO release.
  • Excitation energy is a critical factor in controlling the dominant reaction pathway.
  • Computational chemistry effectively complements experimental data in elucidating complex photochemical mechanisms.

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