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Unlocking the power of walnut shells: enhanced methylene blue adsorption revealed through innovative experimental insights and predictive modeling

Lookup NU author(s): Dr Jie ZhangORCiD

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

© Springer Nature Switzerland AG 2024. This study explores the efficacy of walnut shells as an adsorbent for removing methylene blue (MB) from aqueous solutions. Characterization of walnut shells revealed a high presence of micropores and mesopores, with microporosity being predominant. Fourier-transform infrared (FTIR) analysis confirmed the presence of functional groups conducive to interacting with MB molecules. Various operating parameters were investigated, identifying optimal conditions at 0.1 g of adsorbent mass, achieving over 92% removal efficiency within 10 min for an initial MB concentration of 15 mg/L, at a pH lower than the pHPZC of 5 and at 20 °C. Langmuir isotherm modeling effectively described MB adsorption onto walnut shells, with a maximum capacity of 96.763 mg/g at 20 °C. Kinetic studies supported a pseudo-second-order adsorption mechanism, indicating diffusion control. Thermodynamic analysis revealed that the adsorption of MB onto walnut shells is spontaneous and exothermic. Additionally, Gaussian process regression (GPR) accurately predicted adsorption capacities under varying conditions, providing insights into adsorption behavior and optimization possibilities. Overall, walnut shells offer a promising, cost-effective, and eco-friendly solution for effluent treatment in the textile industry. The combined experimental and modeling approach provides valuable insights for further research in wastewater treatment and environmental remediation.


Publication metadata

Author(s): Zamouche M, Tahraoui H, Lemouedda S, Madoui I, Mechati S, Laggoun Z, Triki Z, Kebir M, Zhang J, Amrane A, Mouni L

Publication type: Article

Publication status: Published

Journal: Euro-Mediterranean Journal for Environmental Integration

Year: 2024

Pages: ePub ahead of Print

Online publication date: 12/10/2024

Acceptance date: 08/08/2024

Date deposited: 21/11/2024

ISSN (print): 2365-6433

ISSN (electronic): 2365-7448

Publisher: Springer Nature

URL: https://doi.org/10.1007/s41207-024-00630-z

DOI: 10.1007/s41207-024-00630-z

ePrints DOI: 10.57711/n6hr-bf22


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