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Published on: August 14, 2019
Computational molecular characterization of the flavonoid rutin
Sergio A Payán-Gómez1, Norma Flores-Holguín, Antonino Pérez-Hernández
1Departamento de Simulación Computacional y Modelado Molecular, CIMAV, SC, Miguel de Cervantes 120, Complejo Industrial Chihuahua, Chihuahua, Chih, 31109, México. daniel.glossman@cimav.edu.mx.
Chemistry Central Journal
|June 24, 2010
Summary
This study uses the M05-2X model chemistry to compute the properties of the flavonoid Rutin, including its structure, spectra, and reactivity. Results were validated against experimental data, confirming the model
Area of Science:
- Computational Chemistry
- Quantum Chemistry
- Materials Science
Background:
- Flavonoids, like Rutin, are plant-derived compounds with significant biological activities.
- Understanding the molecular properties of flavonoids is crucial for their application in medicine and materials science.
- Density Functional Theory (DFT) offers a powerful computational approach to study molecular behavior.
Purpose of the Study:
- To computationally investigate the molecular structure and properties of the flavonoid Rutin.
- To predict spectroscopic (IR, UV-Vis), electronic, and reactivity parameters using DFT.
- To validate the M05-2X model chemistry by comparing computational results with experimental data.
Main Methods:
- Utilized the M05-2X model chemistry within Density Functional Theory (DFT).
- Calculated molecular structure, IR and UV-Vis spectra, dipole moment, polarizability, and solvation free energy.
- Determined HOMO/LUMO orbitals and Conceptual DFT-derived chemical reactivity parameters.
Main Results:
- The M05-2X model successfully predicted various molecular and electronic properties of Rutin.
- Computed spectra and reactivity parameters provide insights into Rutin's chemical behavior.
- Solvation free energy calculations offered an indication of Rutin's solubility in different solvents.
Conclusions:
- The M05-2X DFT model is a reliable tool for predicting the properties of Rutin.
- This study provides valuable computational data for further research on Rutin and related flavonoids.
- The findings support the use of DFT in understanding flavonoid chemistry and potential applications.
