2-Bromohydroquinone: structures, vibrational assignments and RHF, B- and B3-based density functional calculations
Anuradha Ramoji1, Jayashree Yenagi, J Tonannavar
1Department of Physics, Karnatak University, Dharwad 580003, India.
Summary
This study analyzes the vibrational spectra of 2-Bromohydroquinone using infrared and Raman spectroscopy. Computational methods reveal structural changes and spectral features influenced by bromine substitution.
Area of Science:
- Molecular Spectroscopy
- Computational Chemistry
- Quantum Chemistry
Background:
- Vibrational spectroscopy provides insights into molecular structure and bonding.
- Understanding the effects of substituents on molecular vibrations is crucial for chemical analysis.
- 2-Bromohydroquinone's spectral properties are compared to related compounds like hydroquinone and phenol.
Purpose of the Study:
- To experimentally measure and theoretically compute the vibrational spectra of 2-Bromohydroquinone.
- To assign observed infrared and Raman spectral bands.
- To investigate the impact of bromine substitution on molecular geometry and vibrational frequencies.
Main Methods:
- Infrared (IR) and Raman spectroscopy were used for experimental measurements.
- Ab initio and density functional theory (DFT) methods (RHF, BLYP, BP86, B3P86, B3LYP, B3PW91) with a 6-31G(d) basis set were employed for computations.
- Potential Energy Distribution (PED) analysis was performed to determine vibrational coupling.
Main Results:
- Optimized geometries showed changes in bond lengths and angles near the bromine atom.
- Vibrational spectra exhibited distinct features compared to hydroquinone and phenol.
- Evidence of O-H...O hydrogen bonding was observed in the infrared spectrum around 3200 cm(-1).
- DFT methods accurately reproduced frequencies between 2000-500 cm(-1), while RHF performed well below 500 cm(-1).
Conclusions:
- The study successfully assigned the vibrational spectra of 2-Bromohydroquinone.
- Bromine substitution significantly influences the molecule's geometry and vibrational characteristics.
- Computational methods provide reliable predictions for vibrational spectra, aiding in molecular characterization.
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