Biosorption textile wastewater employing lemon peel derivatives: data analysis and kinetic modeling
DOI:
https://doi.org/10.5902/2236117065265Keywords:
Agro-industrial waste, Binary biosorption, Lemon peel, Neural network, Textilesynthetic dyes, Wastewater treatmentAbstract
The present work aimed to evaluate the efficiency of an agro-industrial waste biosorbent in the removal of real textile wastewater. A model sample with methylene blue and remazol golden yellow at equimolar proportions was prepared to be treated with in natura, carbonized, and activated lemon peel beads. Activated biosorbent demonstrated superior capacity and removal rates. Characterization analyses investigated the morphology and physico-chemical properties of the biomaterial. The pH (2.0) and dosage (1.6 g.L-1) studies were carried out to select parameters for further studies. In kinetic assays, methylene blue equilibrium was reached faster than remazol golden yellow RNL. The analyses of fitting parameters indicated Elovich kinetic model to describe biosorption of the yellow dye while pseudo-first-order fit best to the blue dye biosorption data. The intraparticle diffusion model indicated that more than one step may limit biosorption kinetics. In the treatment of real textile wastewater, 94.22% of dyes removal was attained after 360 minutes of operation at the selected operational conditions. Kinetics of adsorption of real wastewater presented considerable fitting to the models with R² greater than 0.93. An artificial neural network model was developed to describe the removal of dyes in real wastewater with satisfactory fitting (R2 = 0.990).
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