Abstract
The current investigation explored the potential of biochar produced from Ulva lactuca to continuously adsorb Remazol Brilliant Orange 3R (RBO3R) in a packed bed column. The influencing parameters namely sorbent bed depth, the flowrate of the solute and the initial RBO3R concentration were studied. The process conditions were optimized using the Box Behnken method Response Surface Methodology (RSM) and also the experiment results were predicted using Adaptive Neuro-Fuzzy Interface System (ANFIS). A comparison study was analyzed using statistical error analysis, boxplot and cluster analysis. The experimental results concluded that a correlation coefficient of 0.9981 and 0.9999 was obtained for RSM and ANFIS predictive models. The removal efficiency of 68.6% was obtained at optimum conditions of 15 cm sorbent depth, 0.45 L/h flowrate and 0.25 mmol/L initial RBO3R concentration.
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