Перегляд за Автор "Obushenko, Tetiana"

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    Influence of competing ions on the efficiency of defluorination on iron-containing adsorbent
    (КПІ ім. Ігоря Сікорського, 2025) Kostenko, Evgeniy; Obushenko, Tetiana; Shahnovsky, Аrcady; Tolstopalova, Nataliia; Sanginova, Olga; Bolielyi, Oleksandr
    Groundwater sources in certain regions of Ukraine are characterized by elevated concentrations of fluoride, which may reach up to 14 or even 18 mg/dm3. The intake of excessive amounts of fluoride ions through drinking water can seriously harm human health. Adsorption technology is a promising method for water defluoridation due to its simplicity, efficiency, and cost-effectiveness. However, the use of adsorption for fluoride removal from water faces several challenges, one of which is the reduced removal efficiency in the presence of foreign (competing) ions. Therefore, the effect of foreign ions on fluoride removal was investigated using iron-based adsorbent samples. Foreign ions compete with fluoride ions for adsorption sites on the surface of the adsorbent material, thereby reducing the overall efficiency of fluoride removal. The results obtained indicate that all studied ions adversely affect the process efficiency to varying degrees. The phosphate ion exhibited the most significant negative impact, as it is specifically adsorbed onto high-valent metal oxides and hydroxides via inner-sphere complexation. Therefore, it can easily compete with fluoride ions, which are also specifically adsorbed. Nitrate and chloride ions are non-specifically adsorbed (via outersphere complexation) onto metal oxides and thus cannot effectively compete with fluoride ions at equal concentrations. Sulfate ions may be adsorbed both specifically and non-specifically, and therefore showed a greater competitive effect than chloride and nitrate, but less than phosphate. The concentration ratios of anions in natural and wastewater vary significantly and should be taken into account when assessing the degree of competition.
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    Some issues on computer simulation and optimization of sorptionbased treatment of fluoridated water
    (КПІ ім. Ігоря Сікорського, 2025) Kostenko, Evgeniy; Shahnovsky, Аrcady; Obushenko, Tetiana; Tolstopalova, Nataliia; Sanginova, Olga; Grushevskyi, Oleksandr
    The problem of fluoride contamination in natural water sources has become increasingly relevant, particularly in rural areas and regions with naturally elevated fluoride levels in groundwater. The lack or military destruction of centralized water treatment infrastructure in many such areas exacerbates the health risks associated with excessive fluoride intake. These challenges highlight the need for affordable and locally adaptable solutions for decentralized water purification. The study focuses on the neural network (NN) simulation and optimization of sorption-based water treatment processes aimed at the removal of fluoride compounds using iron-containing sorbents derived from water treatment waste. For the NN approximation of the sorption capacity of the sorbent and fluoride ion removal efficiency as well as for the subsequent search for a compromise optimum (simultaneous multigoal maximization), a Python-based program was developed. To address the multi-objective optimization problem, Harrington’s desirability functions were applied. As the global optima search method, the “differential evolution” algorithm was selected. The calculated optimal point corresponds to the findings of the authors' previous studies on the influence of pH and sorbent dose on the sorption process. Approaches presented are essential for the cost-effective adaptation of sorption technologies to local needs. The integration of statistical and AI-driven models facilitates the development of intelligent decision-support systems for water treatment, contributing to both scientific advancement and practical environmental protection. The application of computational modeling forms a cornerstone of modern research on sorption technologies. It enhances scientific understanding, enables data-driven design, and promotes the scalable implementation of innovative, sustainable water purification solutions.