Quantum Chemical Prediction of Redox Potential Apply to Phenolic Derivatives
| dc.contributor.author | Chabi Doco, Rodrigue | |
| dc.contributor.author | Kpota Hounguè, M. T. Alice | |
| dc.contributor.author | KOUDJINA, Simplice | |
| dc.contributor.author | Kpotin, Gaston A. | |
| dc.contributor.author | Atohoun, Y. G. Sylvain | |
| dc.date.accessioned | 2026-06-02T16:06:57Z | |
| dc.date.available | 2026-06-02T16:06:57Z | |
| dc.date.issued | 2021 | |
| dc.description.abstract | Reliable prediction of oxidation-reduction potential in phenolic compounds involves determination of quantum and molecular descriptors. In this work, the redox potential of set of thirty-one (31) molecules was determined using seven different quantum descriptors and one molecular descriptor. The calculations, performed at the SWN/6- 31G, HF/6-31G and AM1 theory level allowed us to establish the Quantitative Structure-Property Relationship (QSPR) analysis of substituted phenols that can predict redox potential with confidence level of over 95%. | |
| dc.identifier.other | BECDB-16042 | |
| dc.identifier.uri | https://dspace.uac.bj/handle/123456789/13505 | |
| dc.language.iso | fr | |
| dc.relation.ispartof | Journal of Chemical and Pharmaceutical Research | |
| dc.subject | Redox potential | |
| dc.subject | Theory level | |
| dc.subject | Phenols | |
| dc.subject | QSPR | |
| dc.title | Quantum Chemical Prediction of Redox Potential Apply to Phenolic Derivatives | |
| dc.type | Article |
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