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用于催化降解甲基黄的MMT@FeO@Ag纳米复合材料的制备与表征:基于人工神经网络的反应参数及机理

Preparation and Characterization of the MMT@FeO@Ag Nanocomposite for Catalytic Degradation of Methyl Yellow: Reaction Parameters and Mechanism Based on the Artificial Neuron Network.

作者信息

Altun Türkan, Acar Musa Kazım, Gubbuk Ilkay Hilal

机构信息

Department of Chemical Engineering, Konya Technical University, Konya 42150, Turkey.

Department of Chemistry, Selcuk University, Konya 42130, Turkey.

出版信息

ACS Omega. 2024 Dec 25;10(1):134-146. doi: 10.1021/acsomega.4c02497. eCollection 2025 Jan 14.

DOI:10.1021/acsomega.4c02497
PMID:39829581
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11740151/
Abstract

The montmorillonite@iron oxide@silver (MMT@FeO@Ag) nanocomposite, which is recyclable and exhibits high catalytic activity, was evaluated for the degradation of methyl yellow (MY), a carcinogenic azo dye. For this purpose, MMT@FeO was first synthesized via the coprecipitation method and then Ag was doped to MMT@FeO via the chemical reduction method. MMT, MMT@FeO, and MMT@FeO@Ag were characterized by various techniques including scanning electron microscopy, Fourier transform infrared spectroscopy, X-ray diffraction, vibrating sample magnetometer, and thermal gravimetric analysis. The results illustrated that MMT@FeO@Ag exhibited a higher catalytic ability than MMT@FeO toward decolorization of MY with a degradation efficiency of 100% in 10 min at pH 7.1 in the presence of sodium borohydride (NaBH). Further, some parameters like the amount of NaBH, initial dye concentration, and pH were also studied to determine optimum reaction conditions. MMT@FeO@Ag could be easily separated and recycled from the reaction medium using an external magnet. Thus, the Ag-doped MMT@FeO nanocomposite proved to have good catalytic activity, high MY degradation rate and reusability, and easy separation and simple synthesis method. These properties make it a promising catalyst for the treatment of wastewater containing organic pollutants. In addition, artificial neural network (ANN) simulation, which is a mathematical model with an artificial intelligence algorithm, was used for the degradation process. This model was evaluated with the parameters used in the experiment as the input and output layers. Last, the degradation of MY with the synthesized catalyst into different products was demonstrated by high-performance liquid chromatography (HPLC) analysis.

摘要

蒙脱石@氧化铁@银(MMT@FeO@Ag)纳米复合材料具有可回收性且表现出高催化活性,被用于评估其对致癌偶氮染料甲基黄(MY)的降解效果。为此,首先通过共沉淀法合成MMT@FeO,然后通过化学还原法将Ag掺杂到MMT@FeO中。采用扫描电子显微镜、傅里叶变换红外光谱、X射线衍射、振动样品磁强计和热重分析等多种技术对MMT、MMT@FeO和MMT@FeO@Ag进行了表征。结果表明,在硼氢化钠(NaBH)存在下,pH为7.1时,MMT@FeO@Ag对MY的脱色表现出比MMT@FeO更高的催化能力,10分钟内降解效率达100%。此外,还研究了硼氢化钠用量、染料初始浓度和pH等参数以确定最佳反应条件。使用外部磁铁可轻松从反应介质中分离并回收MMT@FeO@Ag。因此,掺杂Ag的MMT@FeO纳米复合材料具有良好的催化活性、较高的甲基黄降解率和可重复使用性,且分离简便、合成方法简单。这些特性使其成为处理含有机污染物废水的有前景的催化剂。此外,使用了作为具有人工智能算法的数学模型的人工神经网络(ANN)模拟来进行降解过程。该模型以实验中使用的参数作为输入层和输出层进行评估。最后,通过高效液相色谱(HPLC)分析证明了用合成催化剂将甲基黄降解为不同产物。

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