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评估铬铁矿废料对亚甲基蓝的吸附:等温线、动力学、热力学研究、人工神经网络和统计物理建模。

Assessment of chromite ore wastes for methylene blue adsorption: Isotherm, kinetic, thermodynamic studies, ANN, and statistical physics modeling.

机构信息

Department of Petroleum Engineering, Faculty of Petroleum, Gas and Petrochemical Engineering, Persian Gulf University, Bushehr, Iran.

Department of Chemical Technology, Iranian Research Organization for Science and Technology, Tehran, Iran.

出版信息

Chemosphere. 2024 Jun;358:142098. doi: 10.1016/j.chemosphere.2024.142098. Epub 2024 Apr 25.

Abstract

This research investigates the adsorption potential of chrysotile and lizardite, two minerals derived from chromite ore wastes, for the uptake of Methylene Blue (MB) dye from waste streams. The characterization of these minerals involves XRD, XRF, FTIR, and SEM. Results confirm the dominance of polymorphic magnesium silicate minerals, specifically chrysotile and lizardite, in the samples. The FTIR spectra reveal characteristic vibration bands confirming the presence of these minerals. The SEM analysis depicts irregular surfaces with broken and bent edges, suggesting favorable morphologies for adsorption. N adsorption-desorption isotherms indicate mesoporous structures with Type IV pores in both adsorbents. The Central Composite Design approach is employed to optimize MB adsorption conditions, revealing the significance of contact time, adsorbent mass, and initial MB concentration. The proposed models exhibit high significance, with F-values and low p-values indicating the importance of the studied factors. Experimental validation confirms the accuracy of the models, and the optimum conditions for MB adsorption are determined. The influence of solution acidity on MB uptake is investigated, showing a significant enhancement at higher pH values. Isothermal studies indicate Langmuir and Freundlich models as suitable descriptions for MB adsorption onto chrysotile and lizardite. The maximum adsorption capacities of MB for chrysotile and lizardite were found to be 352.97 and 254.85, respectively. Kinetic studies reveal that the pseudo-first-order model best describes the adsorption process. Thermodynamic analysis suggests an exothermic and spontaneous process. Statistical physics models further elucidate the monolayer nature of adsorption. Additionally, an artificial neural network is developed, exhibiting high predictive capability during training and testing stages. The reusability of chrysotile and lizardite is demonstrated through multiple regeneration cycles, maintaining substantial adsorption potential. Therefore, this research provides comprehensive insights into the adsorption characteristics of chrysotile and lizardite, emphasizing their potential as effiective and reusable sorbents for MB uptake from wastewater.

摘要

本研究考察了两种源自铬铁矿废物的矿物——纤蛇纹石和叶蛇纹石对废水中亚甲基蓝(MB)染料的吸附潜力。这些矿物的特征分析包括 XRD、XRF、FTIR 和 SEM。结果证实,样品中主要存在多晶型镁硅酸盐矿物,特别是纤蛇纹石和叶蛇纹石。FTIR 光谱显示出特征振动带,证实了这些矿物的存在。SEM 分析描绘了具有不规则表面、断裂和弯曲边缘的形貌,表明这些矿物具有有利的吸附形态。N 吸附-脱附等温线表明,两种吸附剂均具有介孔结构和 IV 型孔。中心复合设计方法用于优化 MB 吸附条件,揭示了接触时间、吸附剂质量和初始 MB 浓度的重要性。所提出的模型具有高度显著性,F 值和低 p 值表明研究因素的重要性。实验验证证实了模型的准确性,并确定了 MB 吸附的最佳条件。研究了溶液酸度对 MB 摄取的影响,结果表明在较高 pH 值下有显著增强。等温研究表明,Langmuir 和 Freundlich 模型适合描述 MB 在纤蛇纹石和叶蛇纹石上的吸附。MB 对纤蛇纹石和叶蛇纹石的最大吸附容量分别为 352.97 和 254.85。动力学研究表明,准一级模型最能描述吸附过程。热力学分析表明该过程是放热和自发的。统计物理模型进一步阐明了吸附的单层性质。此外,还开发了一个人工神经网络,在训练和测试阶段均表现出较高的预测能力。通过多次再生循环证明了纤蛇纹石和叶蛇纹石的可重复使用性,保持了相当大的吸附潜力。因此,本研究全面深入地研究了纤蛇纹石和叶蛇纹石的吸附特性,强调了它们作为有效且可重复使用的吸附剂从废水中去除 MB 的潜力。

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