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采用不同活化方法从豆荚中制备的微孔活性炭及其对水中酸性橙 7 染料的吸附性能测试。

Microporous Activated Carbon from Pods Using Various Activation Methods and Tested for Adsorption of Acid Orange 7 Dye from Water.

机构信息

Department of Chemical Engineering, Faculty of Engineering, Minia University, Minia 61519, Egypt.

National Institute of Oceanography and Fisheries (NIOF), Marine Pollution Lab, Alexandria 21556, Egypt.

出版信息

Molecules. 2022 Jul 28;27(15):4840. doi: 10.3390/molecules27154840.

Abstract

This work demonstrates the preparation of high-surface-area activated carbon (AC) from pods using ZnCl and KOH as activating agents. The influence of CO and N gases during the carbonization process on the porosity of AC were studied. The highest specific surface area of AC was estimated at 1300 to 1500 m/g, which presented characteristics of microporous materials. SEM micrographs revealed that chemical activation using an impregnation reagent ZnCl increases the porosity of the AC, which in turn leads to an increase in the surface area, and the SEM image showed that particle size diameter ranged between 48.88 and 69.95 nm. The performance of prepared AC for adsorption of Acid Orange 7 (AO7) dye was tested. The results showed that the adsorption percentage by AC (2.5 g/L) was equal to 94.76% after just 15 min, and the percentage of removal increased to be ~100% after 60 min. The maximum adsorption capacity was 473.93 mg g. A Langmuir model (LM) shows the best-fitted equilibrium isotherm, and the kinetic data fitted better to the pseudo-second-order and Film diffusion models. The removal of AO7 dye using AC from pods was optimized using a response factor model (RSM), and the results were reported.

摘要

这项工作展示了使用 ZnCl 和 KOH 作为活化剂,从 荚果中制备高比表面积活性炭 (AC) 的方法。研究了碳化过程中 CO 和 N 气体对 AC 孔隙率的影响。AC 的比表面积最高估计在 1300 到 1500 m/g 之间,呈现出微孔材料的特征。SEM 显微照片显示,使用浸渍试剂 ZnCl 的化学活化增加了 AC 的孔隙率,从而导致表面积增加,SEM 图像显示粒径直径在 48.88 和 69.95nm 之间。测试了制备的 AC 对酸性橙 7 (AO7)染料的吸附性能。结果表明,AC(2.5g/L)仅在 15 分钟后吸附率就达到 94.76%,60 分钟后去除率增加到接近 100%。最大吸附容量为 473.93mg/g。Langmuir 模型 (LM) 显示出最佳拟合的平衡等温线,动力学数据更符合准二级和薄膜扩散模型。使用响应因子模型 (RSM) 对从 荚果中去除 AO7 染料进行了优化,并报告了结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d56/9369958/fd5e17b214ea/molecules-27-04840-sch001.jpg

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