Chemistry Department, Faculty of Sicence, IKIU University, Qazvin, Iran.
Department of Environmental Health Engineering, School of Health, Torbat Heydariyeh University of Medical Sciences, Torbat Heydariyeh, Iran; Health Sciences Research Center, Torbat Heydariyeh University of Medical Sciences, Torbat Heydariyeh, Iran.
Chemosphere. 2022 Sep;303(Pt 2):135124. doi: 10.1016/j.chemosphere.2022.135124. Epub 2022 May 28.
The presence of pharmaceuticals as the emerging contaminates needs novel approaches and new materials to be remediated. This study aimed to develop and apply MWCNTs reinforced with glutaraldehyde cross-linked poly (vinyl alcohol)/chitosan nanocomposite (MWCNTs/CS-PVA/GA NC) for removal of tetracycline (TC) as a model of antibiotics from aqueous solutions. The successful synthesis of NC was supported by techniques of SEM, XRD, TGA, FTIR, and EDX. The prepared NC was then utilized for TC adsorption under the main effective parameters of TC concentration (25-125 mg/L), sonication time (0-8 min), NC dose (1-130 mg), and tempearure (5-45 °C). The process behavior was comparably explored with different methods of central composite design (CCD), artificial neural networks (ANN), and general regression neural network (GRNN). The results showed that under the optimum settings presented by desirability function (DA), in which the respective values for the factors were 125 mg/L, 6.8 min, 130 mg, and 45 °C, the efficiency and adsorption capacity of NC is supposed to be 99.07% and ∼525 mg/g, respectively. From the models studied, although all were able to express the process with satisfactory accuracy, ANN provided the best accuracy and reliability owning to the highest R (0.999) and lowest RMSE, ADD, MAE. The kinetics, isotherms, and thermodynamic studies showed that the process is fast (over 4.5 min), chemisorption, heterogeneous with multilayer nature, spontaneous, feasible, and endothermic. In addition, the as prepared NC could be recycled for five times without significant fail in its performance. All in all, the developed MWCNTs/CS-PVA/GA NC can be considered as a promising candidate in dealing with aqueous solutions' pollution with antibiotic.
作为新兴污染物的药物的存在需要新的方法和新材料来进行修复。本研究旨在开发和应用戊二醛交联的多壁碳纳米管增强的聚乙烯醇/壳聚糖纳米复合材料（MWCNTs/CS-PVA/GA NC），以去除水溶液中的四环素（TC）作为抗生素的模型。NC 的成功合成得到了 SEM、XRD、TGA、FTIR 和 EDX 等技术的支持。然后，将制备的 NC 用于 TC 吸附，考察了 TC 浓度（25-125mg/L）、超声时间（0-8min）、NC 剂量（1-130mg）和温度（5-45°C）等主要有效参数的影响。通过中心复合设计（CCD）、人工神经网络（ANN）和广义回归神经网络（GRNN）等不同方法对过程行为进行了比较研究。结果表明，在期望函数（DA）给出的最佳条件下，各因素的相应值分别为 125mg/L、6.8min、130mg 和 45°C，NC 的效率和吸附容量预计分别为 99.07%和∼525mg/g。在所研究的模型中，虽然所有模型都能够以令人满意的精度来表达该过程，但 ANN 提供了最佳的准确性和可靠性，因为它具有最高的 R（0.999）和最低的 RMSE、ADD、MAE。动力学、等温线和热力学研究表明，该过程速度很快（超过 4.5min），是化学吸附，具有多层异质特性，是自发、可行和吸热的。此外，制备的 NC 可以回收使用五次，而不会显著降低其性能。总之，开发的 MWCNTs/CS-PVA/GA NC 可被视为处理水溶液中抗生素污染的一种有前途的候选材料。
