|تعداد مشاهده مقاله||108,057,570|
|تعداد دریافت فایل اصل مقاله||84,477,498|
Response surface method Optimization of the Dyes Degradation using Zero-Valent Iron based Bimetallic Nanoparticle on the Bentonite Clay Surface
|دوره 6، شماره 3، مهر 2020، صفحه 581-595 اصل مقاله (1.16 M)|
|نوع مقاله: Original Research Paper|
|شناسه دیجیتال (DOI): 10.22059/poll.2020.298554.755|
|M. R. Sabouri1؛ M. R. Sohrabi* 1؛ A. Zeraatkar Moghaddam2|
|1Department of Chemistry, Islamic Azad University, North Tehran Branch, P.O. Box 1913674711, Tehran, Iran|
|2Department of Chemistry College of Sciences, University of Birjand, P.O. Box 97175-615, Birjand, Iran|
|Immobilizing of zero-valent iron in mono- and bi-metallic systems on the bentonite clay surface as new nanocatalyst were synthesized and used to degrade model acidic dyes from aqueous media. The Fourier-transform infrared spectroscopy, scanning electron microscopy-energy dispersive X-ray spectroscopy, transmission electron microscopy, X-ray diffraction, and Brunauer-Emmett-Teller analysis were used to characterize the synthesized nanocomposites, which demonstrated successful loading of nanoscale Fe-Cu bi-metallic onto bentonite support. Different variables controlling the congo red, methyl orange and methyl red dyes degradation using zero-valent iron based bimetallic nanoparticle on the bentonite clay surface as new nanocatalyst were concurrently optimized through an experimental design. Basic evaluations proved the nanocatalyst quantity, medium pH, initial dye concentration, and contact time as the most important variables influencing the degradation phenomenon and hence a response surface methodology based on the central composite design was conducted to determine the relations between the variables and the degradation efficiencies. The statistical factors (e.g. R2 and F-value) of the derived models were considered. Using response surface plots obtained through the models, the effects of the variables on the degradation efficiencies for each dye were assessed. Also, the Nelder-Mead non-linear optimizations were performed and the optimal degradation efficiencies at a 95% confidence level were determined which were found to comply with the respective experimental response values.|
|Pollutant؛ Nanocatalyst؛ Characterization؛ Degradation؛ Modeling|
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