Büyük, Muhammed AliSerbest, HakanDalgıç Bozyiğit, GamzeBakırdere, Sezgin2024-10-172024-10-172024Büyük, M. A., Serbest, H., Dalgıç Bozyiğit, G., & Bakırdere, S. (2024). Development an effective adsorptive treatment strategy for the removal of cadmium from textile wastewater by CuBi2O4@Fe3O4 nanocomposites. Chemical Engineering Communications, pp. 1–13. https://doi.org/10.1080/00986445.2024.24141760098-6445https://doi.org/10.1080/00986445.2024.2414176https://hdl.handle.net/20.500.13055/825In this study, copper-bismuth oxide/iron oxide (CuBi2O4@Fe3O4) nanocomposites were pre-pared by microwave-assisted synthesis and used as adsorbents for the adsorptive removalof cadmium from textile wastewater. The pH/volume of buffer solution, mixing type/periodand adsorbent dosage were optimized univariately to enhance the removal efficiency of theadsorbent and determined as 1.5 mL of pH 8.0 buffer solution, vortexing for 60s, and 30 mgof CuBi2O4@Fe3O4 nanocomposite material. Following the determination of the optimumparameters, equilibrium adsorption studies were performed at five different initial concentra-tions of cadmium within the range of 0.50 − 10 mg L−1 in textile wastewater. A matrix-matching calibration strategy was utilized for the accurate and precise quantification of cad-mium in the wastewater matrix with a R2 value of 0.9961. The percent removal efficiencieswere calculated within the range of 77.2 − 81.5% for the adsorptive removal of cadmiumions from textile wastewater in the equilibrium adsorption experiments. Furthermore, theLangmuir, Freundlich, and Sips adsorption isotherm models were employed for modelingthe equilibrium data, and the results showed that all the models fitted well with the experi-mental data with R2 values higher than 0.99. The simple and efficient batch adsorption pro-cess developed was successfully utilized to remove cadmium ions from textile wastewater.eninfo:eu-repo/semantics/closedAccessAdsorptionCadmiumCuBi2O4@Fe3O4 Nanocom-PositesIsotherm ModelsTextile WastewaterArticle10.1080/00986445.2024.2414176113Q3WOS:0013357974000012-s2.0-85206256094Q2