20 research outputs found

    ΠŸΡ€ΠΈΠΌΠ΅Π½Π° Π½Π° Π΅Π»Π΅ΠΊΡ‚Ρ€ΠΎΠ΄Π½ΠΈΡ‚Π΅ ΠΌΠ΅Ρ…Π°Π½ΠΈΠ·ΠΌΠΈ Π½Π° ΠΏΠΎΠ²Ρ€ΡˆΠΈΠ½ΡΠΊΠΎ-Π°ΠΊΡ‚ΠΈΠ²Π½ΠΈ систСми Π²ΠΎ Π°Π½Π°Π»ΠΈΡ‚ΠΈΠΊΠ° Π½Π° Π»Π΅ΠΊΠΎΠ²ΠΈ – тСорСтска ΠΈ СкспСримСнтална ΡΡ‚ΡƒΠ΄ΠΈΡ˜Π° Π²ΠΎ услови Π½Π° ΠΊΠ²Π°Π΄Ρ€Π°Ρ‚Π½ΠΎ-Π±Ρ€Π°Π½ΠΎΠ²Π° Π²ΠΎΠ»Ρ‚Π°ΠΌΠ΅Ρ‚Ρ€ΠΈΡ˜Π°

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    ВолтамСтрискитС Π°Π½Π°Π»ΠΈΠ·ΠΈ Π·Π° ΡΡ‚ΡƒΠ΄ΠΈΡ€Π°ΡšΠ΅ Π½Π° Π΅Π»Π΅ΠΊΡ‚Ρ€ΠΎΠ΄Π½ΠΈΡ‚Π΅ ΠΌΠ΅Ρ…Π°Π½ΠΈΠ·ΠΌΠΈ Π½Π° ΠΏΠΎΠ²Ρ€ΡˆΠΈΠ½ΡΠΊΠΎ-Π°ΠΊΡ‚ΠΈΠ²Π½ΠΈ систСми прСтставуваат СлСктрохСмиски ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈ со ΠΊΠΎΠΈ ΠΌΠΎΠΆΠ°Ρ‚ Π΄Π° сС Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚Π°Ρ‚ соодвСтни Π°Π½Π°Π»ΠΈΡ‚ΠΈΡ‡ΠΊΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈ, ΠΊΠ°ΠΊΠΎ ΠΈ Π΄Π° сС Π΄ΠΎΠ±ΠΈΡ˜Π°Ρ‚ Ρ€Π΅Π»Π΅Π²Π°Π½Ρ‚Π½ΠΈ ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€ΠΈ Π·Π° ΠΊΠ²Π°Π½Ρ‚ΠΈΡ‚Π°Ρ‚ΠΈΠ²Π½ΠΎ ΠΎΠΏΡ€Π΅Π΄Π΅Π»ΡƒΠ²Π°ΡšΠ΅ Π½Π° Π³ΠΎΠ»Π΅ΠΌ Π±Ρ€ΠΎΡ˜ Π»Π΅ΠΊΠΎΠ²ΠΈ, ΠΊΠ°ΠΊΠΎ ΠΈ Π·Π° ΠΈΠ½Ρ‚Π΅Ρ€Π°ΠΊΡ†ΠΈΠΈΡ‚Π΅ ΡˆΡ‚ΠΎ ΠΌΠΎΠΆΠ°Ρ‚ Π΄Π° настанат ΠΏΠΎΠΌΠ΅Ρ“Ρƒ Π΄Π²Π° Π»Π΅ΠΊΠ°. ΠŸΡ€ΠΈΡ‚ΠΎΠ°, Π΄ΠΎΠΊΠΎΠ»ΠΊΡƒ ΠΏΠΎΡΡ‚ΠΎΡ˜Π°Ρ‚ ΠΈΠ½Ρ‚Π΅Ρ€Π°ΠΊΡ†ΠΈΠΈ ΠΏΠΎΠΌΠ΅Ρ“Ρƒ Π΄Π²Π° Π΄Π΅Ρ„ΠΈΠ½ΠΈΡ€Π°Π½ΠΈ Π»Π΅ΠΊΠ°, со ΠΏΡ€ΠΈΠΌΠ΅Π½Π° Π½Π° тСорСтски ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈ, ΠΌΠΎΠΆΠ°Ρ‚ Π΄Π° сС ΠΎΠΏΡ€eΠ΄Π΅Π»Π°Ρ‚ ΠΊΠΈΠ½Π΅Ρ‚ΠΈΡ‡ΠΊΠΈ ΠΈ Ρ‚Π΅Ρ€ΠΌΠΎΠ΄ΠΈΠ½Π°ΠΌΠΈΡ‡ΠΊΠΈ ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€ΠΈ ΡˆΡ‚ΠΎ сС Π²ΠΎ ΠΊΠΎΡ€Π΅Π»Π°Ρ†ΠΈΡ˜Π° со Π±Ρ€Π·ΠΈΠ½Π°Ρ‚Π° Π½Π° ΠΈΠ½Ρ‚Π΅Ρ€Π°ΠΊΡ†ΠΈΠΈΡ‚Π΅, ΠΊΠ°ΠΊΠΎ ΠΈ со стабилноста Π½Π° Π΅Π²Π΅Π½Ρ‚ΡƒΠ°Π»Π½ΠΈΡ‚Π΅ ΠΊΠΎΠΌΠΏΠ»eкси ΡˆΡ‚ΠΎ настануваат ΠΏΡ€ΠΈ ΠΈΠ½Ρ‚Π΅Ρ€Π°ΠΊΡ†ΠΈΡ˜Π° Π½Π° Π΄Π΅Ρ„ΠΈΠ½ΠΈΡ€Π°Π½ΠΈΡ‚Π΅ Π»Π΅ΠΊΠΎΠ²ΠΈ. Π’ΠΎ Ρ€Π°ΠΌΠΊΠΈΡ‚Π΅ Π½Π° докторската Ρ€Π°Π±ΠΎΡ‚Π° сС Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚Π΅Π½ΠΈ ΠΏΠΎΠ³ΠΎΠ»Π΅ΠΌ Π±Ρ€ΠΎΡ˜ Π½Π° тСорСтски ΠΌΠΎΠ΄Π΅Π»ΠΈ Π½Π° ΠΏΠΎΠ²Ρ€ΡˆΠΈΠ½ΡΠΊΠΎ-Π°ΠΊΡ‚ΠΈΠ²Π½ΠΈ Π»Π΅ΠΊΠΎΠ²ΠΈ ΡˆΡ‚ΠΎ сС ΠΏΠΎΠ²Ρ€Π·Π°Π½ΠΈ со хСмиски Ρ€Π°ΠΌΠ½ΠΎΡ‚Π΅ΠΆΠΈ, ΠΊΠ°Π΄Π΅ СлСктронскиот трансфСр сС случува Π²ΠΎ Π΅Π΄Π΅Π½ ΠΈΠ»ΠΈ Π²ΠΎ Π΄Π²Π° послСдоватСлни Ρ‡Π΅ΠΊΠΎΡ€ΠΈ. Π”Π΅Π» ΠΎΠ΄ Ρ€Π΅Π·ΡƒΠ»Ρ‚Π°Ρ‚ΠΈΡ‚Π΅ ΠΎΠ΄ тСорСтскитС ΠΌΠΎΠ΄Π΅Π»ΠΈ сС тСстирани со СкспСримСнтални систСми Π½Π° ΠΏΠΎΠ²Ρ€ΡˆΠΈΠ½ΡΠΊΠΎ-Π°ΠΊΡ‚ΠΈΠ²Π½ΠΈ ΠΌΠΎΠ΄Π΅Π»Π½ΠΈ супстанци. Π Π΅Π·ΡƒΠ»Ρ‚Π°Ρ‚ΠΈΡ‚Π΅ ΠΎΠ΄ тСорСтскитС ΠΈ СкспСримСнталнитС ΠΈΡΠΏΠΈΡ‚ΡƒΠ²Π°ΡšΠ° сС ΠΎΠ΄ корист Π²ΠΎ Π΄ΠΈΠ·Π°Ρ˜Π½ΠΈΡ€Π°ΡšΠ΅Ρ‚ΠΎ Π½Π° Π½ΠΎΠ²ΠΈ СлСктрохСмиски ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈ Π²ΠΎ Π°Π½Π°Π»ΠΈΡ‚ΠΈΠΊΠ°Ρ‚Π° Π½Π° Π»Π΅ΠΊΠΎΠ²ΠΈ, ΠΊΠ°ΠΊΠΎ ΠΈ Π·Π° Π΄ΠΈΠ·Π°Ρ˜Π½ΠΈΡ€Π°ΡšΠ΅ Π½Π° соодвСтни СкспСримСнтални ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈ ΠΏΡ€Π΅ΠΊΡƒ ΠΊΠΎΠΈ ќС ΠΌΠΎΠΆΠ°Ρ‚ Π΄Π° сС Π°Π½Π°Π»ΠΈΠ·ΠΈΡ€Π°Π°Ρ‚ ΠΊΠ²Π°Π½Ρ‚ΠΈΡ‚Π°Ρ‚ΠΈΠ²Π½ΠΎ Π³ΠΎΠ»Π΅ΠΌ Π±Ρ€ΠΎΡ˜ Π»Π΅ΠΊΠΎΠ²ΠΈ, Π½ΠΎ ΠΈ Π΄Π° сС ΠΎΠΏΡ€Π΅Π΄Π΅Π»Π°Ρ‚ Ρ€Π΅Π»Π΅Π²Π°Π½Ρ‚Π½ΠΈ ΠΊΠΈΠ½Π΅Ρ‚ΠΈΡ‡ΠΊΠΈ ΠΈ Ρ‚Π΅Ρ€ΠΌΠΎΠ΄ΠΈΠ½Π°ΠΌΠΈΡ‡ΠΊΠΈ ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€ΠΈ ΠΎΠ΄ ΠΈΠ½Ρ‚Π΅Ρ€Π°ΠΊΡ†ΠΈΠΈΡ‚Π΅ ΠΏΠΎΠΌΠ΅Ρ“Ρƒ Π΄Π΅Ρ„ΠΈΠ½ΠΈΡ€Π°Π½ΠΈ Π»Π΅ΠΊΠΎΠ²ΠΈ

    Multistep Surface Electrode Mechanism Coupled with Preceding Chemical Reaction-Theoretical Analysis in Square-Wave Voltammetry

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    In this theoretical work, we present for the first time voltammetric results of a surface multistep electron transfer mechanism that is associated with a preceding chemical reaction that is linked to the first electron transfer step. The mathematical model of this so-called β€œsurface CEE mechanism” is solved under conditions of square-wave voltammetry. We present relevant set of results portraying the influence of kinetics and thermodynamics of chemical step to the features of simulated voltammograms. In respect to the potential difference at which both electrode processes occur, we consider two different situations. In the first scenario, both peaks are separated for at least |150 mV|, while in the second case both peaks occur at same potential. Under conditions when both peaks are separated for at least |150 mV|, the first process can be described with the voltammetric features of a surface CE mechanism, while the second peak gets attributes of a simple surface electrode reaction. When both peaks take place at same potential, we elaborate an elegant methodology to achieve separation of both overlapped peaks. This can be done by modifying the concentration of the substrate β€œY” in electrochemical cell that is involved in the preceding chemical reaction. The results of this work can be of big assistance to experimentalists working in the field of voltammetry of metal complexes and drug-drug interaction

    Multistep Surface Electrode Mechanism Coupled with Preceding Chemical Reaction-Theoretical Analysis in Square-Wave Voltammetry

    Get PDF
    In this theoretical work, we present for the first time voltammetric results of a surface multistep electron transfer mechanism that is associated with a preceding chemical reaction that is linked to the first electron transfer step. The mathematical model of this so-called β€œsurface CEE mechanism” is solved under conditions of square-wave voltammetry. We present relevant set of results portraying the influence of kinetics and thermodynamics of chemical step to the features of simulated voltammograms. In respect to the potential difference at which both electrode processes occur, we consider two different situations. In the first scenario, both peaks are separated for at least |150 mV|, while in the second case both peaks occur at same potential. Under conditions when both peaks are separated for at least |150 mV|, the first process can be described with the voltammetric features of a surface CE mechanism, while the second peak gets attributes of a simple surface electrode reaction. When both peaks take place at same potential, we elaborate an elegant methodology to achieve separation of both overlapped peaks. This can be done by modifying the concentration of the substrate β€œY” in electrochemical cell that is involved in the preceding chemical reaction. The results of this work can be of big assistance to experimentalists working in the field of voltammetry of metal complexes and drug-drug interaction

    Theory of Square-wave Voltammetry of Two-step Surface Electrode Mechanisms Associated with Chemical Equilibria

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    Two-step electrode mechanisms that are associated with chemical equilibria are considered theoretically under conditions of square-wave voltammetry. The mechanisms designated as "surface EE", "surface ECE", "surface EECrev" and "surface EECatalytic" mechanisms are often encountered in experimental chemistry of many drugs and redox enzymes containing ions of transient metals as co-factors, or quinone-moieties, as well. We present large set of representative results that reveal specific features met at all considered mechanisms. We also propose set of simple methodologies to get access to kinetic and thermodynamic parameters relevant to electron transfer step, and to associated chemical reactions, as well. The work is of outmost importance to understand many aspects of enzyme-substrate interactions, but also the nature of drug-drug interactions of lipophilic and hydrophilic drugs

    Vitamins E and C exert protective roles in hydrogen peroxide-induced DNA damage in human peripheral blood mononuclear cells

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    Hydrogen peroxide (H2O2) exerts strong oxidative, cytotoxic, and genotoxic effects, whereas vitamins C and E are potent non-enzymatic antioxidants. This study aimed to demonstrate the ameliorative effects of vitamins C and E, individually or in combination, on H2O2-induced DNA damage using the alkaline Comet Assay with silver nitrate staining and visual scoring. Trypan blue exclusion assay was used to determine the cytotoxicity of the treatments, whereas alkaline Comet Assay with silver nitrate staining was used to quantify DNA damage. DNA damage was assessed by the method of visual comet scoring and expressed in arbitrary units. Human peripheral blood mononuclear cells (PBMCs) were pretreated with 100 Β΅M vitamin C and E for 30 min, individually or in combination, followed by a treatment with 100 Β΅M H2O2 for 30 min. Untreated cells were used as a negative control, whereas cells treated with 100 Β΅M H2O2 only were used as a positive control. We observed a considerable H2O2-induced DNA damage in the positive control, which was reduced in vitamin-pretreated cells. The combination of vitamins C and E led to the greatest amelioration of DNA damage. In our hands, Comet Assay with silver nitrate staining and visual scoring represents a rapid and reliable method to investigate the protective effects of vitamins C and E on H2O2-induced DNA damage

    Systematic bioinformatic analyses of nutrigenomic modifications by polyphenols associated with cardiometabolic health in humans: Evidence from targeted nutrigenomic studies

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    Cardiometabolic disorders are among the leading causes of mortality in the human population. Dietary polyphenols exert beneficial effects on cardiometabolic health in humans. Molecular mechanisms, however, are not completely understood. Aiming to conduct in-depth integrative bioinformatic analyses to elucidate molecular mechanisms underlying the protective effects of polyphenols on cardiometabolic health, we first conducted a systematic literature search to identify human intervention studies with polyphenols that demonstrate improvement of cardiometabolic risk factors in parallel with significant nutrigenomic effects. Applying the predefined inclusion criteria, we identified 58 differentially expressed genes at mRNA level and 5 miRNAs, analyzed in peripheral blood cells with RT-PCR methods. Subsequent integrative bioinformatic analyses demonstrated that polyphenols modulate genes that are mainly involved in the processes such as inflammation, lipid metabolism, and endothelial function. We also identified 37 transcription factors that are involved in the regulation of polyphenol modulated genes, including RELA/NFKB1, STAT1, JUN, or SIRT1. Integrative bioinformatic analysis of mRNA and miRNA-target pathways demonstrated several common enriched pathways that include MAPK signaling pathway, TNF signaling pathway, PI3K-Akt signaling pathway, focal adhesion, or PPAR signaling pathway. These bioinformatic analyses represent a valuable source of information for the identification of molecular mechanisms underlying the beneficial health effects of polyphenols and potential target genes for future nutrigenetic studies

    Theoretical study of activity of redox enzymes with protein-film square-wave voltammetry

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    In this presentation we focus on several theoretical models in protein-film voltammetry under conditions of square-wave voltammetry. While we present novel theoretical models on surface ECreversible, EECirreversible, EECreversible and ECatalytic(reversible) systems, we reveal new diagnostic criteria to recognize the considered redox mechanisms. We also present novel methodologies to determine kinetic and thermodynamic parameters relevant to system considered. Models are seen as a cornerstone for developing biochemical sensors for detection of various substrates and medicaments

    The Power of Voltammetry

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    Majority of the chemical processes taking place in our Universe have a β€œredox” origin (redox=reduction-oxidation). The exchange of a charge (electrons of ions) between two neighbouring systems that are in contact can lead to a flow of electrical current. Almost a century ago, an instrumental technique had been developed capable to study the redox processes of various substances. The basic principles of this electroanalytical technique, named as β€œpolarography”, had been established by Jaroslaw Heyrovsky, who was awarded with Nobel Prize of chemistry in 1959 for his invention. In the last 70 years, we witnessed a very fast development of large number electroanalytical techniques evolving from Heyrovsky’s polarography. Voltammetric techniques are, indeed, the most advanced members in the family of electroanalytical techniques. Voltammetry involves application of a time-dependent potential as a driving force, while the measuring output is the corresponding electrical current that flows between the working and reference electrode. In the last 60 years we saw great number of rigorous theoretical and mathematical models describing various mechanistic pathways of many important systems. Moreover, reliable voltammmetric methods have been developed to access the thermodynamics and kinetics of charge transfer in many important systems. Nowadays, the voltammetry is almost an inevitable toll in every physical, chemical, pharmaceutical, biological, metallurgical and environmental laboratory. Designed initially to study the processes of corrosion, voltammetry evolved in a very powerful instrumental technique that can be intensively used to get insight into the drug-drug interactions, the ion transfer across biological membranes, the processes of metal-ligand complex formation, the enzyme-substrate reactions, the polymerization reactions, in the electro-synthesis, further in designing bio-fuel cells, in studying the chemical features of nano-materials, and many more. What impresses by this technique is the velocity of obtaining relevant chemical information, the simplicity of the experimental set-up, and the very low costs of the instrumentation. In this lecture we refer to some of the greatest achievements of voltammetry in last 30 years. References: 1. A. J. Bard, G. Inzelt, F. Scholz, Electrochemical Dictionary, Springer, 2012. 2. A. J. Bard, L. R. Faulkner, Electrochemical Methods, Fundamentals and Applications, Willey, 2001

    ΠŸΡ€ΠΈΠΌΠ΅Π½Π° Π½Π° ΠΊΠ²Π°Π΄Ρ€Π°Ρ‚Π½ΠΎ-Π±Ρ€Π°Π½ΠΎΠ²Π° Π²ΠΎΠ»Ρ‚Π°ΠΌΠ΅Ρ‚Ρ€ΠΈΡ˜Π° Π²ΠΎ Π°Π½Π°Π»ΠΈΡ‚ΠΈΠΊΠ° Π½Π° Π»Π΅ΠΊΠΎΠ²ΠΈ Π½Π° ΠΏΠΎΠ²Ρ€ΡˆΠΈΠ½ΡΠΊΠΎ-Π°ΠΊΡ‚ΠΈΠ²Π½ΠΈ систСми-ΠŸΠΈΠ»ΠΎΡ‚ ΠŸΡ€ΠΎΠ΅ΠΊΡ‚

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    ΠšΠ²Π°Π΄Ρ€Π°Ρ‚Π½ΠΎ-Π±Ρ€Π°Π½ΠΎΠ²Π°Ρ‚Π° Π²ΠΎΠ»Ρ‚Π°ΠΌΠ΅Ρ‚Ρ€ΠΈΡ˜Π° Π΅ СлСктрохСмиска Ρ‚Π΅Ρ…Π½ΠΈΠΊΠ° ΡˆΡ‚ΠΎ ΠΈΠ½Ρ‚Π΅Π½Π·ΠΈΠ²Π½ΠΎ сС ΠΏΡ€ΠΈΠΌΠ΅Π½ΡƒΠ²Π° Π²ΠΎ Ρ…Π΅ΠΌΠΈΡ˜Π°Ρ‚Π°, Ρ„Π°Ρ€ΠΌΠ°Ρ†ΠΈΡ˜Π°Ρ‚Π° ΠΈ Ρ„ΠΈΠ·ΠΈΠΎΠ»ΠΎΠ³ΠΈΡ˜Π°Ρ‚Π° Π²ΠΎ послСднитС 20Ρ‚ΠΈΠ½Π° Π³ΠΎΠ΄ΠΈΠ½ΠΈ. Π’ΠΎ Ρ€Π°ΠΌΠΊΠΈΡ‚Π΅ Π½Π° овој ΠΏΠΈΠ»ΠΎΡ‚-ΠΏΡ€ΠΎΠ΅ΠΊΡ‚, ΠΏΡ€ΠΈΠΊΠ°ΠΆΠ°Π½ΠΈ сС Ρ€Π΅Π·ΡƒΠ»Ρ‚Π°Ρ‚ΠΈ ΠΎΠ΄ Π½Π΅ΠΊΠΎΠ»ΠΊΡƒ тСорСтскитС ΠΌΠΎΠ΄Π΅Π»ΠΈ Π·Π° ΠΏΠΎΠ²Ρ€ΡˆΠΈΠ½ΡΠΊΠΈ Ρ€Π΅Π°ΠΊΡ†ΠΈΠΈ ΠΏΠΎΠ²Ρ€Π·Π°Π½ΠΈ со хСмиски Ρ€Π°ΠΌΠ½ΠΎΡ‚Π΅ΠΆΠΈ, ΡˆΡ‚ΠΎ сС Π°Π΄Π΅ΠΊΠ²Π°Ρ‚Π½ΠΈ ΠΌΠΎΠ΄Π΅Π»ΠΈ Π·Π° ΡΡ‚ΡƒΠ΄ΠΈΡ€Π°ΡšΠ΅ Π½Π° ΠΈΠ½Ρ‚Π΅Ρ€Π°ΠΊΡ†ΠΈΠΈΡ‚Π΅ ΠΏΠΎΠΌΠ΅Ρ“Ρƒ Ρ€Π°Π·Π»ΠΈΡ‡Π½ΠΈ Ρ‚ΠΈΠΏΠΎΠ²ΠΈ Π½Π° Π»Π΅ΠΊΠΎΠ²ΠΈ. ΠŸΠΎΠΊΡ€Π°Ρ˜ Ρ‚ΠΎΠ°, Π΄Π°Π΄Π΅Π½ΠΈ сС СкспСримСнтални ΠΏΡ€ΠΈΠΌΠ΅Π½ΠΈ ΠΏΡ€Π΅ΠΊΡƒ ΠΊΠΎΠΈ ΠΌΠΎΠΆΠ΅ Π΄Π° сС испитуваат ΠΊΠΈΠ½Π΅Ρ‚ΠΈΡ‡ΠΊΠΈΡ‚Π΅ (Π±Ρ€Π·ΠΈΠ½Π°Ρ‚Π° Π½Π° ΠΈΠ½Ρ‚Π΅Ρ€Π°ΠΊΡ†ΠΈΠΈΡ‚Π΅ ΠΏΠΎΠΌΠ΅Ρ“Ρƒ Π»Π΅ΠΊΠΎΠ²ΠΈ) ΠΈ Ρ‚Π΅Ρ€ΠΌΠΎΠ΄ΠΈΠ½Π°ΠΌΠΈΡ‡ΠΊΠΈΡ‚Π΅ ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€ΠΈ (константитС Π½Π° стабилност Π½Π° Π΄Π²Π° Π»Π΅ΠΊΠΎΠ²ΠΈ ΡˆΡ‚ΠΎ стапуваат Π²ΠΎ хСмиска ΠΈΠ½Ρ‚Π΅Ρ€Π°ΠΊΡ†ΠΈΡ˜Π°). Π Π΅Π·ΡƒΠ»Ρ‚Π°Ρ‚ΠΈΡ‚Π΅ ΠΎΠ΄ овој ΠΏΠΈΠ»ΠΎΡ‚ ΠΏΡ€ΠΎΠ΅ΠΊΡ‚ сС Π΄Π΅Π» ΠΎΠ΄ Ρ‡Π΅Ρ‚ΠΈΡ€ΠΈ Ρ‚Ρ€ΡƒΠ΄ΠΎΠ²ΠΈ ΡˆΡ‚ΠΎ сС ΠΏΡƒΠ±Π»ΠΈΠΊΡƒΠ²Π°Π½ΠΈ Π²ΠΎ списанија со Ρ„Π°ΠΊΡ‚ΠΎΡ€ Π½Π° влијаниС Π²ΠΎ 2019 ΠΈ 2020 Π³ΠΎΠ΄ΠΈΠ½Π°

    Electrochemical analysis of the properties of benzene-1,2,4-triol

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    1,2,4-benzenetriol is an aromatic chemical compound used in direct hair colouring products at a maximum use concentration of 3.0%. In plants it can be found as a product of the degradation of some organic compounds, while in humans it can be detected after poisoning with benzene because it is a metabolite of the biotransformation of benzene. In the human organism, 1,2,4-benzenetriol causes harmful effects such as DNA damage and there is possibility that 1,2,4-benzenetriol-induced DNA damage is one of the primary reactions in carcinogenesis induced by benzene. In nature, this compound is found in coffee extracts inhibiting the anti-hypertensive effect of chlorogenic acid. Hydroxyhydroquinone or 1,2,4-benzenetriol (BT) detected in the beverages has a structure that coincides with the water-soluble form of a sesame lignan, sesamol and further studies are required to confirm the importance of the cellular antioxidant activity of BT. Materials and methods: In this study we examined the electrochemical properties of 1,2,4-benzenetriol by using cyclic voltammetry and square-wave voltammetry. Cyclic voltammetry (CV) is widely used for the study of redox processes, for understanding the reaction mechanisms, and for obtaining stability of reaction products. To perform this study, we used a three-electrode system, graphite rod was used as a working electrode, the reference electrode was silver / silver chloride (Ag / AgCl), while the auxiliary electrode was Pt-electrode. Results: The electrochemical response of the aqueous solution of 1,2,4-benzenetriol at different pH (3 to 9) depends mainly on pH. The calculated diffusion coefficient indicates that the process of diffusion of this substance is relatively low. The complexes between benzenetriol the Fe2+ and Mg2+ ions are the type 1:1 (one ligand and one metal ion are complexed). The values of the stability constants show that the complex of magnesium ions and benzenetriol is weak, while the complex with iron ions is moderately stable complex. In strong alkaline environment there is a chemical transformation and it is assumed that the new compound has four OH groups. For examination of the anti-oxidative potential we compared the native 1,2,4-benzenetriol, re-titrated benzentriol and vitamin C using ABTS. It has been confirmed that the tetra-hydroxy compound has the highest antioxidant potential. Conclusion: The results obtained of the study will help in further investigations of antioxidant properties of 1,2,4-benzenetriol and the potential use of this compound as an antioxidant. Keywords: 1,2,4-benzentriol, Anti-oxidative potential, Cyclic voltammetry, Complexes with metal ions
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