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  • Gazi University Journal of Science Part A: Engineering and Innovation
  • Volume:10 Issue:3
  • Optimization of Green Synthesis Parameters of Silver Nanoparticles with Factorial Design for Dye Rem...

Optimization of Green Synthesis Parameters of Silver Nanoparticles with Factorial Design for Dye Removal

Authors : Gülçin DEMİREL BAYIK, Busenur BAYKAL
Pages : 327-340
Doi:10.54287/gujsa.1294774
View : 112 | Download : 30
Publication Date : 2023-09-29
Article Type : Research Paper
Abstract :In this study production of silver nanoparticles insert ignore into journalissuearticles values(AgNPs); from collard greens were optimized by the design of experiments insert ignore into journalissuearticles values(DOE);. A 24 full factorial design was employed to evaluate the effects on two responses. The optimized values for AgNP production were 1:7 leaf to water, 1:4 extract to AgNO3, 5 molar AgNO3, and a leaf size of <1 mm. For dye removal efficiency, the optimized values were changed to 1:15 of leaf to water and 1:10 of extract to AgNO3, while the other two parameters remained the same. SEM insert ignore into journalissuearticles values(scanning electron microscopy); showed that optimizing the process for dye removal led to smaller AgNP production with increased surface area, resulting in higher absorbency. ANOVA insert ignore into journalissuearticles values(analysis of variance); tables were used to interpret each parameter\`s main and effects on interaction. Additionally, reaction rate kinetics were estimated, and dye removal showed a slightly higher R-square of pseudo second-order than NP production, which fits the pseudo first-order reaction model.
Keywords : Silver Nanoparticles, Factorial Design, Green Synthesis, Dye Removal, Adsorption

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