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Item type:Publication, Access status: with files , CNT-modified globugraphite carbon foam for hydrogen peroxide generation: structural and electrochemical characterisation(Elsevier, 2026-05-11); ; ; ; Three-dimensional (3D) porous carbon architectures offer unique advantages for electrochemical processes due to their high surface area, interconnected porosity, and intrinsic conductivity. In this study, a carbon nanotube-modified Globugraphite composite (CNT-GG) is developed to achieve efficient electrogeneration of hydrogen peroxide (H₂O₂). The composite exhibits exceptionally high porosity (98%), ultralow density (0.04–0.05 g·cm−3), and a hierarchical porous structure, providing enhanced active surface exposure and mass transport. Incorporation of carbon nanotubes (CNTs), consistent with a multi-walled structure, within the GG matrix modifies the pore architecture and promotes a more interconnected network enhancing mass transport and charge-transfer processes, thereby improving electrochemical activity. It significantly improves effective bulk conductivity (up to 662 S/m), mechanical strength as determined by higher flexural and modulus values, and slight enhancement in thermal stability. The optimized CNT-GG structure also exhibits reduced tortuosity (from 4.29 to 1.21), facilitating efficient charge-transfer pathways. Electrochemical evaluation demonstrates that CNT-GG electrodes markedly enhance the in-situ generation of H₂O₂, reaching concentrations up to 48 μmol·L−1 within 30 min while achieving a high specific H₂O₂ productivity of 2.64 μmol·cm−2·min−1. These results demonstrate that CNT modification synergistically improves porosity, conductivity, defect-rich carbon structure contributing to electrochemical activity, positioning CNT-GG as a promising electrode material for H₂O₂ electrogenaration systems.Publicationtype: Journal Article53 40 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: with files , Capacitive deionisation for water desalination review: experimental and simulation(Taylor & Francis, 2025-10-28); ; ; Capacitive Deionization (CDI) has emerged as an energy-efficient and environmentally friendly technology for water desalination. This review provides a comprehensive analysis of CDI, covering both experimental and simulation approaches. It introduces the background, definition, and diverse applications of CDI, from water desalination to environmental monitoring and resource recovery. The review highlights CDI’s advantages, such as low energy consumption and operational simplicity, as well as its limitations, particularly its design-specific operating window favoring low-to-moderate salinity waters and sensitivity to organic-rich conditions. Strategies such as hybrid CDI systems and electrode surface functionalization are discussed to mitigate these challenges. Key working principles and advancements, including innovations in electrode materials, synthesis methods, and reactor design, are examined to improve ion removal efficiency, selectivity, energy use, and system durability. Material modification strategies are presented in the context of structure–performance relationships, emphasizing rational design principles. The review also explores simulation methods, including reactor modeling, computational fluid dynamics, molecular dynamics, and numerical approaches, and machine learning highlighting their synergy with experiments in optimizing CDI performance and guiding scale-up. Coupling CDI with other systems and its applications in water purification, particularly for ion and organic compound removal are also discussed. Finally, challenges in both experimental and simulation efforts, such as material cost, model complexity, computational demands, and scalability, are discussed. While CDI shows promise for sustainable water desalination and resource recovery, further research on hybrid configurations, predictive modeling, and pilot-scale validation is needed to address its limitations and enable large-scale adoption.Publicationtype: Review Article80 20