<br>通过戊二醛交联聚（乙烯醇）/壳聚糖增强的 MWCNT 纳米复合材料从水溶液中捕获四环素,Chemosphere

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通过戊二醛交联聚（乙烯醇）/壳聚糖增强的 MWCNT 纳米复合材料从水溶液中捕获四环素
Chemosphere ( IF 8.1 ) Pub Date : 2022-05-28 , DOI: 10.1016/j.chemosphere.2022.135124
Khosro Naderi ₁ , Maryam Foroughi ₂ , Mohammad Hossein Ahmadi Azqhandi ₃

Affiliation

药物作为新出现的污染物的存在需要新的方法和新材料进行补救。本研究旨在开发和应用戊二醛交联聚（乙烯醇）/壳聚糖纳米复合材料（MWCNTs/CS-PVA/GA NC）增强的 MWCNT 作为水溶液中抗生素的模型。NC 的成功合成得到了 SEM、XRD、TGA、FTIR 和 EDX 技术的支持。然后在 TC 浓度（25–125 mg/L）、超声处理时间（0–8 min）、NC 剂量（1–130 mg）和温度（5–45 °C）的主要有效参数下，将制备的 NC 用于 TC 吸附。与中央复合设计（CCD）、人工神经网络（ANN）和一般回归神经网络（GRNN）的不同方法相比，对过程行为进行了比较探索。结果表明，在意愿函数（DA）给出的最佳设置下，各因子分别为 125 mg/L、6.8 min、130 mg 和 45 °C，NC 的效率和吸附容量分别为 99.07% 和 ∼525 mg/g。从所研究的模型中，尽管所有模型都能够以令人满意的准确度表达过程，但 ANN 提供了最好的准确度和可靠性，拥有最高的 R2 （0.999）和最低的 RMSE、ADD、MAE。动力学、等温线和热力学研究表明，该过程是快速的（超过 4.5 分钟）、化学吸附、具有多层性质的异质性、自发的、可行的和吸热的。此外，制备的 NC 可以回收 5 次，而不会对其性能造成重大影响。总而言之，开发的 MWCNTs/CS-PVA/GA NC 可以被认为是处理抗生素水溶液污染的有前途的候选者。

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Tetracycline capture from aqueous solutions by nanocomposite of MWCNTs reinforced with glutaraldehyde cross-linked poly (vinyl alcohol)/chitosan

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 R2 (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.

更新日期：2022-05-28

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