用信德粘土和石英作为低成本吸附剂从污染水中去除活性金的吸附、模拟、热力学和动力学研究

IF 2.5 4区 工程技术 Q3 CHEMISTRY, ANALYTICAL Separations Pub Date : 2023-10-11 DOI:10.3390/separations10100538
Aqsa Fatima, Muhammad Asif Hanif, Umer Rashid, Muhammad Idrees Jilani, Fahad A. Alharthi, Jeehoon Han
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引用次数: 0

摘要

随着人们环保意识和环保需求的不断提高,人们在将废旧材料转化为高效吸附容量材料方面做了很多努力。在这项工作中,努力将信德粘土和石英转化为一种有效的复合材料,用于从污染水中去除染料。采用FT-IR、BET、SEM和XRD对合成的复合材料进行了表征。合成的复合材料具有特殊的晶体结构,比表面积为7.20 m2/g,孔径为3.27 nm。通过傅里叶变换红外光谱分析,描述了氰化铁水合物(2030 cm−1)和氧化铁(418 cm−1)的形成。显微照片显示,与改性后的石英样品相比,未改性的石英样品具有扁平和细长的形状,具有聚集和粗糙的形貌。研究了温度、接触时间、初始染料浓度等因素对染色效果的影响。动力学模型也用于确定吸附过程的可能途径。吸附平衡分析采用Dubinin-Radushkevich、Langmuir、Freundlich、Temkin和Harkin-Juraisotherm模型。Freundlich等温线模型和拟一阶模型最能描述染料在粘土复合材料上的吸附。R2值接近于1或大于0.9,说明哪个方程与实验数据吻合。制备的复合材料具有良好的可重复使用性,经过5次反应循环后,无需再活化即可保持90%以上的吸附容量。
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Adsorption, Modeling, Thermodynamic, and Kinetic Studies of Acteray Golden Removal from Polluted Water Using Sindh Clay and Quartz as Low-Cost Adsorbents
Due to growing environmental awareness and demands, many efforts were implemented for the transformation of waste materials into highly efficient adsorption capacity materials. In this work, efforts were made to convert the Sindh clay and quartz into an efficient composite for dye removal from polluted water. The synthesized composites were characterized using FT-IR, BET, SEM, and XRD. The synthesized composite showed a crystalline structure with specific characteristics, including a specific surface area of 7.20 m2/g and a pore diameter of 3.27 nm. The formation of iron cyanide hydrate (2030 cm−1) and iron oxides (418 cm−1) were depicted through Fourier transform infrared spectroscopy analysis. The micrographs obtained show that the unmodified quartz sample has a flattened and elongated shape compared to the modified quartz sample, which has aggregated and coarse morphology. The effects of several factors, such as temperature, contact time, and initial dye concentration, were studied. Kinetic models were also applied to determine the probable route of the adsorption process. For adsorption equilibrium analysis, the Dubinin–Radushkevich, Langmuir, Freundlich, Temkin, and Harkin–Juraisotherm models were employed. The Freundlich isotherm model and pseudo-first-order model best described the adsorption of dyes onto the clay composites. R2 values were close to 1 or more than 0.9, showing which equation fits the experimental data. The produced composite demonstrated good reusability, maintaining over 90% of the adsorption capacity after five reaction cycles without the need for reactivation.
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来源期刊
Separations
Separations Chemistry-Analytical Chemistry
CiteScore
3.00
自引率
15.40%
发文量
342
审稿时长
12 weeks
期刊介绍: Separations (formerly Chromatography, ISSN 2227-9075, CODEN: CHROBV) provides an advanced forum for separation and purification science and technology in all areas of chemical, biological and physical science. It publishes reviews, regular research papers and communications. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced. There are, in addition, unique features of this journal: Manuscripts regarding research proposals and research ideas will be particularly welcomed. Electronic files and software regarding the full details of the calculation and experimental procedure, if unable to be published in a normal way, can be deposited as supplementary material. Manuscripts concerning summaries and surveys on research cooperation and projects (that are funded by national governments) to give information for a broad field of users. The scope of the journal includes but is not limited to: Theory and methodology (theory of separation methods, sample preparation, instrumental and column developments, new separation methodologies, etc.) Equipment and techniques, novel hyphenated analytical solutions (significantly extended by their combination with spectroscopic methods and in particular, mass spectrometry) Novel analysis approaches and applications to solve analytical challenges which utilize chromatographic separations as a key step in the overall solution Computational modelling of separations for the purpose of fundamental understanding and/or chromatographic optimization
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