Elimination of a Toxic Dye using Avicennia Marina Leaves: Optimization and Modeling
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Abstract
In addressing the imperative need to treat toxic dyes in industrial effluent to prevent harm to human health and aquatic life, this study investigates the potential of Avicennia marina leaves as a biosorbent for removing methylene blue from synthetic solutions. Employing a central composite design, the study explores the influence of temperature, pH, sorbent dosage, and initial methylene blue concentration on the dye removal process. The optimal conditions identified include a temperature of 44.3°C, pH of 7.1, sorbent dose of 0.3 g, and an initial methylene blue concentration of 48.4 mg/L, resulting in an impressive 84.26% dye removal. The experimental biosorption percentage under these conditions is found to be 76.93%. The developed artificial neural network (ANN) model successfully predicts outcomes closely aligned with experimental results, showcasing the efficacy of Avicennia marina leaves as a promising biosorbent and the utility of ANN modeling for system optimization and prediction.