Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
Permanent URI for this collectionhttps://hdl.handle.net/11147/7148
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Article Hybrid Heroes of Water Treatment: the Rise of Biochar-Modified Metal Organic Frameworks(Elsevier Science Sa, 2026) Gungormus, Elif; Goren, A. Yagmur; Khataee, AlirezaBiochar-metal organic framework (BC-MOF) composites are highly promising for water treatment due to their synergistic properties. In this regard, this review paper highlights their outstanding performance in removing various pollutants from water. The applications of these composites cover various environmental remediation processes, such as adsorption, photocatalysis, persulfate activation, and Fenton-like degradation. BC-MOF composites have demonstrated high performance in environmental applications, achieving pollutant removal efficiencies exceeding 90 % through adsorption and photocatalytic degradation. Moreover, degradation processes through advanced oxidation pathways, which produce active radicals, such as hydroxyl and superoxide radical-mediated breakdowns, significantly enhance the mineralization of organic pollutants. Many composites also retained >80 % of their initial capacity after 4-6 cycles, indicating good reusability. Overall, BC-MOF composites present a sustainable, high-performance solution for contaminant removal, with broad applicability against antibiotics, dyes, heavy metals, pesticides, and fluoride ions.Book Part Citation - Scopus: 32Language of Response Surface Methodology as an Experimental Strategy for Electrochemical Wastewater Treatment Process Optimization(Elsevier, 2022) Gören, Ayşegül Yağmur; Recepoğlu, Yaşar Kemal; Khataee, AlirezaThe availability and accessibility to safe and secure water resources are the key technological and scientific concerns of global significance. As a result of water scarcity worldwide, wastewater treatment and reuse are considered viable options to replace freshwater resources in agricultural irrigation and domestic and industrial purposes. A significant need for clean water has promoted the invention and/or enhancement of several electrochemical wastewater treatment (EWT) processes. Optimization of the process variables plays a crucial role in wastewater treatment to enhance technology performance, considering removal efficiency, operating cost, and environmental impacts. These processes are fundamentally complex multivariable, and the optimization through conventional methods is unreliable, inflexible, and time- and material-consuming. In this perspective, response surface methodology (RSM) appears to be a beneficial statistical experimental strategy for the performance optimization of the EWT process. This model could be utilized for the optimization and analysis of the individual and/or combined effects of operational variables on the treatment process to improve the system performance. Furthermore, this model provides a number of information from a slight number of experimental trials. In this chapter, a summary and a discussion are presented on the RSM model used in the electrochemical wastewater treatment processes to overcome process crucial challenges toward the optimization and modeling of process parameters. It provides a potential model to enhance the various types of wastewater treatment process performance with effective optimization. Overall, it is described that the RSM model can be used in EWT processes to find the optimum conditions.
