Vol. 9 Issue 2

Archives Journal Chemical Bulletin Vol. 9 Issue 2

A study of the effect of ionizing radiation on the physicochemical properties of solid waste from oil pipeline transportation

https://doi.org/10.58224/2619-0575-2026-9-2-1
Abstract
The aim of the study was to experimentally investigate the effect of gamma irradiation in the absorbed dose range of 25-200 kGy on the physicochemical properties of solid waste from oil pipeline transportation. The object of the study was asphaltene-resin-paraffin deposits collected during the cleaning of a main oil pipeline. The following tasks were solved during the work: quantitative determination of changes in the group hydrocarbon composition (oils, paraffins, resins, asphaltenes) by adsorption chromatography; analysis of molecular weight distribution by gel permeation chromatography; assessment of rheological characteristics (melting point, pour point, relative viscosity) and thermal stability by thermogravimetric analysis. It was found that at a dose of 200 kGy, the paraffin content decreases by 1.65 times, while the asphaltene content increases by 1.8 times. The system's polydispersity increases from 6.56 to 10.72, the relative viscosity at 80°C more than doubles, and the coke residue increases from 3.5% to 8.2% by weight. The practical significance of these results lies in substantiating the possibility of using radiation-modified waste as a component of bitumen compositions with increased heat resistance or as a raw material for producing carbon materials. The data obtained can be used in the development of technologies for the disposal of oil waste using ionizing radiation.
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Surface modification of silica and titanium dioxide powders with silver nano- and microparticles by a thermal method

https://doi.org/10.58224/2619-0575-2026-9-2-2
Abstract
Objectives: to modify silica powder synthesized by the sol–gel method and commercial titanium dioxide with silver particles via thermal decomposition of silver nitrate within oxide matrices. To carry out a comparative study of the morphology and distribution of silver on different supports in terms of their potential application in photocatalysis and as functional abrasive fillers in toothpastes. To determine the nanostructure and specific surface area of silica and to assess the influence of the porous structure of the support on the dispersion of the silver phase.
Methods. Silica was obtained by sol–gel synthesis based on tetraethoxysilane. Modification of titanium dioxide and silica with silver was performed by impregnation with a silver nitrate solution followed by thermal decomposition of the salt at 700 °C. The morphology and distribution of silver were investigated by scanning electron microscopy and energy-dispersive elemental analysis with mapping. The nanostructure and porosity of silica were characterized by Sears titration and methylene blue adsorption with calculation of Langmuir equation constants and specific surface area.
Results. It was shown that commercial titanium dioxide consists of coarse particles (medium size 35,4 µm), whereas the sol–gel synthesized silica has the form of microspheres with medium size 1,4 µm and is composed of primary nanoparticles of about ~3.7 nm. According to methylene blue adsorption data, the specific surface area of silica is about 10 m²/g, which corresponds to a mesoporous structure. It was found that, upon modification of titanium dioxide with silver, submicron and micron-sized silver particles (up to ~2 µm) are formed on its surface, whereas on mesoporous silica a more highly dispersed silver phase is produced, which is not size-resolvable in SEM mode but is uniformly distributed over the surface according to EDS mapping data.
Conclusions. The morphology of the silver phase strongly depends on the type and structure of the oxide support. Mesoporous nanostructured silica promotes the formation of more highly dispersed (nanosized) and uniformly distributed silver particles compared to commercial titanium dioxide, on the surface of which submicron and micron silver inclusions prevail. The obtained data can be used to optimize the photocatalytic and antibacterial properties of silver-containing composites, as well as to select the composition of abrasive fillers based on SiO₂@Ag and TiO₂@Ag for toothpastes and other oral hygiene products.
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Analysis of classification and composition of modern lithifying additives

https://doi.org/10.58224/2619-0575-2026-9-2-3
Abstract
The article presents an analysis of the classification and composition of modern lithifying additives used for the treatment of liquid salt concentrates from reverse osmosis units. Natural and synthetic sorbents are considered, their characteristics including specific surface area, porosity, elemental composition and thermal stability. The results of studies of the individual efficiency of additives and their combinations are presented, and optimal compositions for obtaining solid waste of hazard classes IV-V are determined.
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Using the Gibbs excess energy diagrams of four-component systems to select extractive agents

https://doi.org/10.58224/2619-0575-2026-9-2-4
Abstract
Objectives: сomparison of extractive agents for the separation of ternary azeotropic mixtures using the Gibbs excess energy diagrams on the example of methanol – tetrahydrofuran – acetonitrile mixtures; prediction of extractive distillation results.
Methods. Computational experiment for calculating phase equilibria and the distillation process using the Non Random Two Liquid (NRTL) model; construction and visualization of data arrays for excess Gibbs energy for four-component systems using the marching cubes algorithm, implemented in the Python programming language have been developed.
Results. A computational experiment was conducted on simulation of vapor–liquid equilibria in four–component derivative systems, including a separable substances methanol, tetrahydrofuran, acetonitrile and an extractive agent. The Gibbs excess energy diagrams of derivative systems are constructed, the selective properties of extractive agents are analyzed, and the results of extractive distillation of methanol – tetrahydrofuran – acetonitrile mixtures with dimethyl sulfoxide, valeronitrile, and glycerin are predicted. The forecast is confirmed by calculations of extractive distillation for different compositions of methanol – tetrahydrofuran – acetonitrile mixtures with agents under discussion. The extractive distillation flowsheet with dimethyl sulfoxide is energy efficient at separating ternary mixtures of different compositions.
Conclusions. Using the marching cubes algorithm, it is possible to visualize the composition-excess Gibbs energy data array for four-component systems. The possibility of evaluating the selective action of agents and predicting the product flows of an extractive distillation column for the methanol – tetrahydrofuran – acetonitrile mixtures has been demonstrated, which plays a crucial role in the development of principal separation flowsheets.
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