Adsorption kinetics behavior of MB dye on CaO nanosheets

IF 1 4区 材料科学
A. Modwi, M. A. Aissa, A. Alakhras, H. Idriss
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引用次数: 0

Abstract

The work reported herein demonstrates the fabrication of CaO nanosheets employing a thermal decomposition method. The obtained CaO nanosheets were characterized using TEM, BET, XRD, EDX, and FTIR instruments. Moreover, the effect of initial dye concentration and pH on MB removal by CaO nanosheets was studied. The result showed that the nanoparticles have sizes around 100 nm, and the CaO nanosheets have an average diameter of 50 nm. Meanwhile, the average pore diameter and surface area of CaO are 15.847 Å and 5.881 m2. g−1 , respectively. Numerical models based on Temkin, Freundlich, and Langmuir were applied to adsorption data to better understand the MB dye adsorption onto CaO nanoparticles. The sorption findings demonstrated a stronger fit with the Temkin model (R2 = 0.983) compared to the Freundlich model (R2 = 0.947) and Langmuir model (R2 = 0.968). The maximum adsorption capacity of MB on the CaO nanoparticles is 688.01 mg/g. The investigation determined that the adsorption kinetics adhered to the Pseudo-second-order kinetic model(R2 =0.982).
MB 染料在 CaO 纳米片上的吸附动力学行为
本文报告的工作展示了利用热分解法制造氧化钙纳米片的过程。利用 TEM、BET、XRD、EDX 和 FTIR 仪器对获得的 CaO 纳米片进行了表征。此外,还研究了初始染料浓度和 pH 值对 CaO 纳米片去除甲基溴的影响。结果表明,纳米颗粒的尺寸约为 100 nm,而 CaO 纳米片的平均直径为 50 nm。同时,CaO 的平均孔径和表面积分别为 15.847 Å 和 5.881 m2. g-1。为了更好地理解 MB 染料在 CaO 纳米颗粒上的吸附情况,对吸附数据应用了基于 Temkin、Freundlich 和 Langmuir 的数值模型。吸附结果表明,与 Freundlich 模型(R2 = 0.947)和 Langmuir 模型(R2 = 0.968)相比,Temkin 模型(R2 = 0.983)的拟合度更高。MB 在 CaO 纳米粒子上的最大吸附容量为 688.01 mg/g。研究表明,吸附动力学符合伪二阶动力学模型(R2 =0.982)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Ovonic Research
Journal of Ovonic Research Materials Science-Electronic, Optical and Magnetic Materials
CiteScore
1.60
自引率
20.00%
发文量
77
期刊介绍: Journal of Ovonic Research (JOR) appears with six issues per year and is open to the reviews, papers, short communications and breakings news inserted as Short Notes, in the field of ovonic (mainly chalcogenide) materials for memories, smart materials based on ovonic materials (combinations of various elements including chalcogenides), materials with nano-structures based on various alloys, as well as semiconducting materials and alloys based on amorphous silicon, germanium, carbon in their various nanostructured forms, either simple or doped/alloyed with hydrogen, fluorine, chlorine and other elements of high interest for applications in electronics and optoelectronics. Papers on minerals with possible applications in electronics and optoelectronics are encouraged.
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