Alqahtani Malak F, Ali Ismat H, Siddeeg Saifeldin M, Maiz Fethi, Eltahir Sawsan B, Alarfaji Saleh S
Department of Chemistry, College of Science, King Khalid University, Abha 61341, Saudi Arabia.
Department of Physics, College of Science, King Khalid University, Abha 62529, Saudi Arabia.
Nanomaterials (Basel). 2025 Jun 3;15(11):857. doi: 10.3390/nano15110857.
Organic dyes are pollutants that threaten aquatic life and human health. These dyes are used in various industries; therefore, recent research focuses on the problem of their removal from wastewater. The aim of this study is to examine the clay/gum arabic nanocomposite (CG/NC) as an adsorbent to adsorb methylene blue (MB) and crystal violet (CV) dyes from synthetic wastewater. The CG/NC was characterized using Fourier transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), scanning electron microscopy (SEM), and Brunaure-Emmett-Teller (BET). The effect of parameters that may influence the efficiency of removing MB and CV dyes was studied (dosage of CG/NC, contact time, pH values, initial concentration, and temperature), and the optimal conditions for removal were determined. Furthermore, an artificial neural network (ANN) model was adopted in this study. The results indicated that the adsorption behavior adhered to the Langmuir model and conformed to pseudo-second-order kinetics. The results also indicated that the removal efficiency reached 99%, and q reached 66.7 mg/g and 52.9 mg/g for MB and CV, respectively. Results also proved that CG/NC can be reused up to four times with high efficiency. The ANN models proved effective in predicting the process of the removal, with low mean squared errors (MSE = 1.824 and 1.001) and high correlation coefficients (R = 0.945 and 0.952) for the MB and CV dyes, respectively.
有机染料是威胁水生生物和人类健康的污染物。这些染料被用于各种行业；因此，近期的研究聚焦于从废水中去除它们的问题。本研究的目的是考察粘土/阿拉伯树胶纳米复合材料（CG/NC）作为吸附剂从合成废水中吸附亚甲基蓝（MB）和结晶紫（CV）染料的情况。使用傅里叶变换红外光谱（FTIR）、X射线衍射（XRD）、扫描电子显微镜（SEM）和布鲁诺尔-埃米特-泰勒（BET）对CG/NC进行了表征。研究了可能影响MB和CV染料去除效率的参数（CG/NC的用量、接触时间、pH值、初始浓度和温度），并确定了去除的最佳条件。此外，本研究采用了人工神经网络（ANN）模型。结果表明，吸附行为符合朗缪尔模型并遵循准二级动力学。结果还表明，去除效率达到99%，对于MB和CV，q分别达到66.7 mg/g和52.9 mg/g。结果还证明，CG/NC可以高效重复使用多达四次。ANN模型被证明在预测去除过程方面有效，对于MB和CV染料，平均平方误差较低（MSE = 1.824和1.001），相关系数较高（R = 0.945和0.952）。
