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使用磁性纳米复合材料去除农业除草剂(2,4-二氯苯氧乙酸):实验与建模研究的结合。

Removal of an agricultural herbicide (2,4-Dichlorophenoxyacetic acid) using magnetic nanocomposite: A combined experimental and modeling studies.

机构信息

Department of Civil Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.

Department of Biotechnology, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.

出版信息

Environ Res. 2023 Dec 1;238(Pt 1):117124. doi: 10.1016/j.envres.2023.117124. Epub 2023 Sep 14.

DOI:10.1016/j.envres.2023.117124
PMID:37716397
Abstract

This study focused on modeling the removal of one of the widely used agricultural herbicides known as 2,4-Dichlorophenoxyacetic acid (2,4-D) using polypyrrole-coated FeO nanoparticles (FeO@PPy). The FeO@PPy nanocomposite was synthesized by surface-coating the Tabebuia aurea leaf extract synthesized FeO nanoparticles with polypyrrole. After characterization, the adsorptive potential of the nanocomposite for removing 2,4-D from aqueous solution was examined. Central composite design (CCD) was employed for optimizing the adsorption, revealing an adsorption efficiency of 90.65% at a 2,4-D concentration of 12 ppm, a dosage of 3.8 g/L, an agitation speed of 150 rpm, and 196 min. Adsorption dataset fitted satisfactorily to Langmuir isotherm (R: 0.984 & χ2: 0.054) and pseudo-second-order kinetics (R: 0.929 & χ2: 0.013) whereas the exothermic and spontaneous nature were confirmed via the thermodynamic study. The predictive models, including adaptive neuro-fuzzy inference system (ANFIS), artificial neural network (ANN), and response surface methodology (RSM), demonstrated good precision for the prediction of 2,4-D adsorption, with respective R of 0.9719, 0.9604, and 0.9528. Nevertheless, statistical analysis supported ANFIS as the better forecasting tool, while RSM was the least effective. The maximum adsorption capacity of 2,4-D onto the FeO@PPy nanocomposite was 7.29 mg/g, significantly higher than a few reported values. Therefore, the FeO@PPy nanocomposite could serve as a competent adsorbent to remove 2,4-D herbicide from aqueous streams.

摘要

本研究专注于使用聚吡咯包覆的 FeO 纳米粒子(FeO@PPy)对一种广泛使用的农业除草剂 2,4-二氯苯氧乙酸(2,4-D)进行去除模型的建立。通过用 Tabebuia aurea 叶提取物合成的 FeO 纳米粒子对聚吡咯进行表面包覆,合成了 FeO@PPy 纳米复合材料。经过表征后,研究了该纳米复合材料对从水溶液中去除 2,4-D 的吸附潜力。采用中心复合设计(CCD)对吸附进行优化,在 2,4-D 浓度为 12 ppm、用量为 3.8 g/L、搅拌速度为 150 rpm 和 196 min 的条件下,吸附效率达到 90.65%。吸附数据集很好地符合 Langmuir 等温线(R:0.984 和 χ2:0.054)和拟二级动力学(R:0.929 和 χ2:0.013),而通过热力学研究证实了其为放热和自发过程。预测模型,包括自适应神经模糊推理系统(ANFIS)、人工神经网络(ANN)和响应面法(RSM),均能很好地对 2,4-D 吸附进行预测,其 R 值分别为 0.9719、0.9604 和 0.9528。然而,统计分析支持 ANFIS 为更好的预测工具,而 RSM 的效果最差。FeO@PPy 纳米复合材料对 2,4-D 的最大吸附容量为 7.29 mg/g,明显高于一些已报道的值。因此,FeO@PPy 纳米复合材料可以作为一种有效的吸附剂,用于从水溶液中去除 2,4-D 除草剂。

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