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1.
Food Chemistry Advances ; 1 (no pagination), 2022.
Article in English | EMBASE | ID: covidwho-2277041

ABSTRACT

Ginger rhizome, a common spice that has been traditionally used in various health aspects. The rhizome contains volatile oil and nonvolatile oil compounds, including oleoresin. Chemical constituents of ginger are numerous and vary depending on the geographic origin, harvest process, and storage conditions. [6]-Gingerol, a major bioactive constituent of ginger, has been reported to possess anti-inflammatory, antiviral, antitumor, antioxidant, and antiemetic effects. Therefore, it is a valuable food molecule with benefits for human health. This review summarized current findings on [6]-gingerol with regards to its beneficial effects on human health, encompassing the biological activities, mechanisms of action and toxicity assessment. In addition, relevant evidence in support of the application of [6]-gingerol towards the promotion health and vitality, as well as methods for extraction, identification and quantitative determination of [6]-gingerol are also provided.Copyright © 2022 The Author(s)

2.
Acta Chim Slov ; 69(3): 647-656, 2022 Sep 26.
Article in English | MEDLINE | ID: covidwho-2056608

ABSTRACT

These days, the world is facing the threat of pandemic Coronavirus Disease 2019 (COVID-19). Although a vaccine has been found to combat the pandemic, it is essential to find drugs for an effective treatment method against this disease as soon as possible. In this study, electronic and thermodynamic properties, molecular electrostatic potential (MEP) analysis, and frontier molecular orbitals (FMOs) of nine different covid drugs were studied with Density Functional Theory (DFT). In addition, the relationship between the electronic structures of these drugs and their biological effectiveness was examined. All parameters were computed at the B3LYP/6-311++g(d,p) level. The Solvent effect was evaluated using conductor-like polarizable continuum model (CPCM) as the solvation model. It was observed that electrophilic indexes were important to understand the efficiencies of these drugs in COVID-19 disease. Paxlovid, hydroxyquinone, and nitazoxanide were found as the most thermodynamically stable molecules. Thermodynamic parameters also demonstrated that these drugs were more stable in the aqueous media. Global descriptors and the reactivity of these drugs were found to be related. Nitazoxanide molecule exhibited the highest dipole moment. The high dipole moments of drugs can cause hydrophilic interactions that increase their effectiveness in an aqueous solution.


Subject(s)
COVID-19 Drug Treatment , Quantum Theory , Electronics , Humans , Models, Molecular , Nitro Compounds , Solvents/chemistry , Thiazoles , Water/chemistry
3.
J Mol Liq ; 325: 115187, 2021 Mar 01.
Article in English | MEDLINE | ID: covidwho-988907

ABSTRACT

Around the world, the antibiotic azithromycin (AZM) is currently being used to treat the coronavirus disease (COVID-19) in conjunction with hydroxychloroquine or chloroquine. Investigating the chemical and physical properties of compounds used alone or in combination to combat the COVID-19 pandemic is of vital and pressing importance. The purpose of this study was to characterize the charge transfer (CT) complexation of AZM with iodine in four different solvents: CH2Cl2, CHCl3, CCl4, and C6H5Cl. AZM reacted with iodine at a 1:1 M ratio (AZM to I2) in the CHCl3 solvent and a 1:2 M ratio in the other three solvents, as evidenced by data obtained from an elemental analysis of the solid CT products and spectrophotometric titration and Job's continuous variation method for the soluble CT products. Data obtained from UV-visible and Raman spectroscopies indicated that AZM strongly interacted with iodine in the CH2Cl2, CCl4, and C6H5Cl solvents by a physically potent n→σ* interaction to produce a tri-iodide complex formulated as [AZM·I+]I3 -. XRD and TEM analyses revealed that, in all solvents, the AZM-I2 complex possessed an amorphous structure composed of spherical particles ranging from 80 to 110 nm that tended to aggregate into clusters. The findings described in the present study will hopefully contribute to optimizing the treatment protocols for COVID-19.

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