Enhanced Adsorption Capacity of Methylene Blue Dye onto Kaolin through Acid Treatment: Batch Adsorption and Machine Learning Studies

吸附 材料科学 化学需氧量 亚甲蓝 朗缪尔 废水 朗缪尔吸附模型 吸热过程 弗伦德利希方程 化学工程 核化学 废物管理 化学 环境工程 有机化学 环境科学 光催化 工程类 催化作用
作者
Nadia Hamri,Ali Imessaoudene,Amina Hadadi,Sabrina Cheikh,Abdelhamid Boukerroui,Jean‐Claude Bollinger,Abdeltif Amrane,Hichem Tahraoui,Hai Nguyen Tran,Abdelrahman O. Ezzat,Hamad A. Al‐Lohedan,Lotfi Mouni
出处
期刊:Water [Multidisciplinary Digital Publishing Institute]
卷期号:16 (2): 243-243 被引量:65
标识
DOI:10.3390/w16020243
摘要

Algerian kaolinite, sourced from Djebel Debbagh nuance 3 (DD3), was used as a low-cost adsorbent to remove methylene blue (MB) dye from water. Its adsorption capacity was enhanced through sulfuric acid treatment (treated-DD3). In response to the urgent demand for clean water, various technologies have been developed to address dye removal from wastewater. This study, specifically delving into the treatment of textile wastewater, examined the efficacy of treated-DD3 through adsorption processes. The acid treatment increased the surface area and pore volume of DD3. X-ray diffraction showed crystalline phases in both, with treated-DD3 having higher crystallinity. Fourier-transform infrared spectroscopy found no significant differences post-acid treatment. Scanning electron microscopy revealed DD3 had large, stacked particles with low surface area, while treated-DD3 had increased porosity and a smoother surface. Various parameters affecting MB adsorption were studied. The Langmuir and Freundlich models were used for isotherm parameters. Treated-DD3 exhibited a higher MB adsorption capacity (64.58 mg/g according to the Langmuir model) than DD3 (44.48 mg/g). Thermodynamic analysis indicated spontaneous and endothermic MB adsorption onto both DD3-BM and treated-DD3-BM systems under different pH conditions. Treated-DD3 effectively reduced chemical oxygen demand (from 304.056 mg/L to 34.44 mg/L) and biological oxygen demand (from 80 mg/L to 20 mg/L) in real textile wastewater. The adsorbent exhibited rapid removal and decolorization, surpassing 93% within the first 7 min of the experiment. The Gaussian process regression and particle swarm optimization (GPR–PSO) predicted MB adsorption capacity effectively (R = 0.9989, R2 = 0.9978, adj-R2 = 0.9978, RMSE = 1.1390, and MAE = 0.3926).
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