Sustainable Copper Removal with Seafood Shells: Biosorption Kinetics and ANN Analysis
Abstract
Heavy metal contamination necessitates cost-effective and eco-friendly treatment methods. This study explores the potential of waste seafood shells as a sustainable biosorbent for copper (Cu²⁺) removal. Batch experiments examined the effects of particle size, contact time, and adsorbent dosage on biosorption. Results confirmed that smaller particle sizes significantly enhanced removal efficiency (>90%) due to increased surface area. While the maximum copper removal was achieved at 40 g L⁻¹, 20 g L⁻¹ was identified as the optimum dosage considering both removal efficiency (>90%) and economic feasibility. Adsorption data fitted the Freundlich isotherm and pseudo-second-order kinetic models, indicating multilayer chemisorption on heterogeneous surfaces. Furthermore, a Nonlinear Autoregressive with Exogenous Inputs (NARX) artificial neural network (ANN) was developed. This model accurately predicted copper removal efficiency with a low mean squared error. Findings demonstrate that seafood shells are promising biosorbents, and the integration of ANN modeling offers a powerful tool for optimizing sustainable wastewater treatment systems.
Keywords
Adsorption, ANN, Copper Removal, Isotherms, Kinetics, Seafood Shell
Supporting Institution
Ondokuz Mayıs University
Ethical Statement
The authors declare that this study does not require ethics committee approval as it does not involve experiments on human or animal subjects.
Thanks
The authors would like to thank Ondokuz Mayıs University, Department of Environmental Engineering for providing laboratory facilities.
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