Bentonite-verbena biochar composite for anionic dye removal: Investigation, simulation and modeling

Q1 Environmental Science Bioresource Technology Reports Pub Date : 2024-10-22 DOI:10.1016/j.biteb.2024.101981
Rachid Et-Tanteny , Ibrahim Allaoui , Bouchta El Amrani , Imad Manssouri , Fath-Ellah Laghrib , Khalid Draoui
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Abstract

This research investigates the potential of a novel bentonite-verbena biochar composite for the removal of methyl orange from wastewater. Comparative adsorption studies demonstrated that this biocomposite significantly outperforms traditional adsorbents, exhibiting an 83.12 % improvement over raw bentonite. The molecular dynamics simulation revealed the specific mechanism for the enhanced synergistic effect observed between bentonite and biochar in the adsorption of methyl orange. Furthermore, the impact of operational parameters (adsorbent mass, pH, contact time and initial dye concentration) on the adsorption process was systematically evaluated. However, nonlinear modeling indicated that the pseudo-second-order kinetic model and the Dubinin-Radushkevich isotherm model best described the kinetic and adsorption process. This biocomposite, composed of verbena biochar, shows outstanding adsorption performance for methyl orange, anionic dye, opening up new avenues for the development of innovative and sustainable adsorbent materials derived from bioresources.

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用于去除阴离子染料的膨润土-文竹生物炭复合材料:调查、模拟和建模
本研究探讨了一种新型膨润土-文竹生物炭复合材料去除废水中甲基橙的潜力。比较吸附研究表明,这种生物复合材料的性能明显优于传统吸附剂,与未加工的膨润土相比,提高了 83.12%。分子动力学模拟揭示了膨润土和生物炭在吸附甲基橙时增强协同效应的具体机制。此外,还系统地评估了操作参数(吸附剂质量、pH 值、接触时间和初始染料浓度)对吸附过程的影响。然而,非线性建模表明,伪二阶动力学模型和 Dubinin-Radushkevich 等温线模型最能描述动力学和吸附过程。这种由马鞭草生物炭组成的生物复合材料对阴离子染料甲基橙具有出色的吸附性能,为开发源自生物资源的创新型可持续吸附材料开辟了新途径。
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来源期刊
Bioresource Technology Reports
Bioresource Technology Reports Environmental Science-Environmental Engineering
CiteScore
7.20
自引率
0.00%
发文量
390
审稿时长
28 days
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