氧化石墨烯/Fe3O4 催化布洛芬臭氧反应的动力学研究:蒙特卡罗模拟

IF 0.7 4区 工程技术 Q4 ENGINEERING, CHEMICAL Theoretical Foundations of Chemical Engineering Pub Date : 2024-01-17 DOI:10.1134/S0040579523050391
Hamid Dezhampanah, Hamed Moradmand Jalali
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引用次数: 0

摘要

动力学蒙特卡洛模型是研究直接臭氧氧化(仅 O3)和异相催化臭氧氧化(氧化石墨烯和氧化石墨烯负载 Fe3O4)去除布洛芬动力学的有力工具。通过蒙特卡洛模拟找到了建议机制的动力学机制和每一步的速率常数值。负载了 Fe3O4 的氧化石墨烯通过提高布洛芬药物和 O3 在氧化石墨烯表面的反应活性,在布洛芬的臭氧氧化过程中发挥了重要的异相催化剂作用。通过利用动力学蒙特卡罗模拟获得初始 O3 和催化剂量对布洛芬消除速率的影响,从而获得催化剂和 O3 的优化值。本研究的模拟结果与上述系统的臭氧实验数据完全一致。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Kinetically Investigation of Ibuprofen Ozonation Catalyzed by Graphene Oxide/Fe3O4: A Monte Carlo Simulation

Kinetic Monte Carlo modeling was employed as a powerful tool to kinetically investigate of ibuprofen removal by direct ozonation (O3 alone) and heterogeneous catalytic ozonation (graphene oxide and graphene oxide loaded with Fe3O4). The kinetic mechanisms and the values of rate constants for each step of the suggested mechanisms were found by Monte Carlo simulation. The graphene oxide loaded with Fe3O4 displays a significant role as a heterogeneous catalyst in the ozonation of ibuprofen by enhancing the reactivity of ibuprofen drug and O3 on the graphene oxide surface. Optimized values of catalysts and O3 were attained through obtaining the effect of initial O3 and catalyst amounts on the rate of ibuprofen elimination utilizing kinetic Monte Carlo simulation. The simulation outcomes of the present investigation demonstrate satisfactory agreement with the experimental ozonation data for the systems above.

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来源期刊
CiteScore
1.20
自引率
25.00%
发文量
70
审稿时长
24 months
期刊介绍: Theoretical Foundations of Chemical Engineering is a comprehensive journal covering all aspects of theoretical and applied research in chemical engineering, including transport phenomena; surface phenomena; processes of mixture separation; theory and methods of chemical reactor design; combined processes and multifunctional reactors; hydromechanic, thermal, diffusion, and chemical processes and apparatus, membrane processes and reactors; biotechnology; dispersed systems; nanotechnologies; process intensification; information modeling and analysis; energy- and resource-saving processes; environmentally clean processes and technologies.
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