Comparative Study of Antioxidant Potential of Selected Dietary Vitamins; Computational Insights

dc.contributor.authorPandithavidana, D.R.
dc.contributor.authorJayawardana, S.B.
dc.date.accessioned2019-05-03T03:54:57Z
dc.date.available2019-05-03T03:54:57Z
dc.date.issued2019
dc.description.abstractDensity functional theory (DFT) was used to explore the antioxidant properties of some naturally occurring dietary vitamins, and the reaction enthalpies related to various mechanisms of primary antioxidant action, i.e., hydrogen atom transfer, single electron transfer–proton transfer, and sequential proton loss–electron transfer were discussed in detail. B3LYP, M05-2X, and M06-2X functionals were utilized in this work. For aqueous phase studies, the integral equation formalism polarized continuum model (IEF–PCM) was employed. From the outcomes, hydrogen atom transfer (HAT) was the most probable mechanism for the antioxidant action of this class of compounds. Comparison of found results with experimental data (available in literature), vitamin C possesses the lowest enthalpy values for both proton a nity (PA) and bond dissociation energy (BDE)in the aqueous phase, suggesting it as the most promising candidate as an antioxidant. Accordingly, these computational insights encourage the design of structurally novel, simple vitamins which will be more economical and beneficial in the pharmaceutical industry.en_US
dc.identifier.citationPandithavidana,D.R. and Jayawardana,S.B. (2019).Comparative Study of Antioxidant Potential of Selected Dietary Vitamins; Computational Insights.Molecules, 2019, 24 (9), 1646.doi:10.3390/molecules24091646.en_US
dc.identifier.urihttp://repository.kln.ac.lk/handle/123456789/20141
dc.language.isoen_USen_US
dc.publisherMoleculesen_US
dc.subjectantioxidanten_US
dc.subjectHATen_US
dc.subjectSET–PTen_US
dc.subjectSPLETen_US
dc.subjectBDEen_US
dc.subjectIPen_US
dc.subjectPDEen_US
dc.subjectPAen_US
dc.subjectETEen_US
dc.titleComparative Study of Antioxidant Potential of Selected Dietary Vitamins; Computational Insightsen_US
dc.typeArticleen_US

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