Preprint Article Version 1 This version is not peer-reviewed

Superior Adsorption of Chlorinated VOC by Date Palm Seed Biochar: A Two-Way ANOVA Comparative Analysis with Activated Carbon

Version 1 : Received: 12 October 2024 / Approved: 14 October 2024 / Online: 15 October 2024 (11:58:20 CEST)

How to cite: Remmani, R.; Papini, M. P.; Amanat, N.; Canales, A. R. Superior Adsorption of Chlorinated VOC by Date Palm Seed Biochar: A Two-Way ANOVA Comparative Analysis with Activated Carbon. Preprints 2024, 2024101011. https://doi.org/10.20944/preprints202410.1011.v1 Remmani, R.; Papini, M. P.; Amanat, N.; Canales, A. R. Superior Adsorption of Chlorinated VOC by Date Palm Seed Biochar: A Two-Way ANOVA Comparative Analysis with Activated Carbon. Preprints 2024, 2024101011. https://doi.org/10.20944/preprints202410.1011.v1

Abstract

This study investigates biochar (BC) derived from date palm seeds as a high-performance ad-sorbent for trichloroethylene (TCE) and tetrachloroethylene (PCE) removal from aqueous solu-tions, comparing its efficacy to commercial activated carbon (AC). The optimized BC exhibits a high BET surface area of 654.79 m²/g and a unique nanotube morphology. Kinetic studies indicate that the pseudo-second-order model best describes the adsorption process, with BC achieving capacities of 86.68 mg/g for TCE and 85.97 mg/g for PCE, significantly outperforming AC. Isotherm analysis suggests a complex adsorption mechanism involving both multilayer and monolayer adsorption. Two-way ANOVA confirms the significant superiority of BC over AC (p < 0.0001) for both CVOCs. The enhanced performance of BC is attributed to its high surface area, well-developed microporosity, and advanced surface chemistry. This study highlights the promise of date palm seed-derived biochar as a sustainable, high-performance adsorbent for eco-friendly water treatment solutions, potentially reducing operational costs and environmental impact in real-world applications.

Keywords

Biochar; Chlorinated solvents; Adsorption kinetics; Isotherms; Statistical analysis; Nanotube morphology

Subject

Engineering, Chemical Engineering

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