International Journal of Chemical Engineering / 2022 / Article / Tab 2 / Research Article
Methylene Blue Adsorption BY UV-Treated Graphene Oxide Nanoparticles (UV/n-GO): Modeling and Optimization Using Response Surface Methodology and Artificial Neural Networks Table 2 Actual versus model predicted values for adsorption.
Run A, time (min) B, (g/L) C, C0 mg/L D, pH % adsorption experimental % adsorption predicted 1 40 0.2 15 8 88.65 88.93 2 20 0.4 25 8 88.91 89.53 3 30 0.3 20 7 91.91 91.65 4 20 0.2 15 6 94.26 94.70 5 30 0.5 20 7 90.42 90.37 6 30 0.3 20 7 92.4 91.65 7 30 0.1 20 7 93.44 92.94 8 40 0.4 15 6 89.28 89.13 9 40 0.4 25 8 91.4 91.13 10 20 0.2 25 8 90.12 90.44 11 20 0.4 15 6 93.26 93.71 12 30 0.3 20 7 92.4 91.65 13 30 0.3 30 7 92.4 92.49 14 30 0.3 20 9 90 89.69 15 50 0.3 20 7 90 90.50 16 40 0.2 25 6 94.66 95.12 17 20 0.4 25 6 91.71 91.60 18 40 0.4 15 8 84.64 84.99 19 30 0.3 20 7 91.66 91.65 20 30 0.3 20 7 91.66 91.65 21 30 0.3 10 7 90.75 90.82 22 40 0.2 15 6 91 90.78 23 40 0.2 25 8 92.78 92.73 24 10 0.3 20 7 92.95 92.81 25 30 0.3 20 7 91.66 91.65 26 20 0.2 25 6 90.17 90.22 27 40 0.4 25 6 95.72 95.82 28 20 0.4 15 8 92.47 92.18 29 30 0.3 20 5 93.8 93.62 30 20 0.2 15 8 95.15 95.45