...
首页> 外文期刊>Materials Chemistry and Physics >Degradation of 4-nitrophenol (4-NP) using ZnO nanoparticles supported on zeolites and modeling of experimental results by artificial neural networks
【24h】

Degradation of 4-nitrophenol (4-NP) using ZnO nanoparticles supported on zeolites and modeling of experimental results by artificial neural networks

机译:沸石上负载的ZnO纳米粒子降解4-硝基苯酚(4-NP)并通过人工神经网络对实验结果进行建模

获取原文
获取原文并翻译 | 示例
           

摘要

In this paper, we report the synthesis of ZnO, ZnO/HZSM-5, ZnO/HY and ZnO/Clin by a poly acrylamide pyrolysis method for the first time. The presences of carbon network/cages in the poly acrylamide gel can effectively prevent particle agglomeration. The catalytic activity of all specimens was tested by carrying out the 4-nitrophenol degradation, used as a "probe" reaction, in the aqueous medium under ambient visible light. The prepared samples were characterized by X-ray diffraction (XRD), specific surface area (BET) and porosity determination, scanning electron microscopy (SEM) coupled with energy dispersive X-ray analysis (EDX), visible-ultraviolet diffuse reflectance spectroscopy (DRS) and Fourier transform infrared spectroscopy (FT-IR), to evaluate particle structure, size distribution and composition. The results revealed that among the catalysts, ZnO/HZSM-5 showed higher percentage of adsorption than others. The time required for complete mineralization of 4-NP under ambient visible light over ZnO/HZSM-5 was 75 min. The higher activity of ZnO/HZSM-5 is mainly due to fine dispersion of ZnO and hydrophobicity of the support. An artificial neural networks (ANNs) model was developed to predict the performance of catalytic degradation process over synthesized catalysts based on experimental data. A comparison between the predicted results of the designed ANN model and experimental data was also conducted.
机译:在本文中,我们首次报道了通过聚丙烯酰胺热解法合成ZnO,ZnO / HZSM-5,ZnO / HY和ZnO / Clin。聚丙烯酰胺凝胶中碳网络/笼子的存在可有效防止颗粒团聚。通过在环境可见光下在水性介质中进行4-硝基苯酚降解(用作“探针”反应)来测试所有样品的催化活性。制备的样品通过X射线衍射(XRD),比表面积(BET)和孔隙率确定,扫描电子显微镜(SEM)结合能量色散X射线分析(EDX),可见光-紫外线漫反射光谱(DRS)进行表征)和傅立叶变换红外光谱(FT-IR),以评估颗粒结构,尺寸分布和组成。结果表明,在催化剂中,ZnO / HZSM-5的吸附百分数高于其他催化剂。在ZnO / HZSM-5上在环境可见光下完成4-NP完全矿化所需的时间为75分钟。 ZnO / HZSM-5的较高活性主要归因于ZnO的精细分散和载体的疏水性。建立了人工神经网络(ANNs)模型,根据实验数据预测合成催化剂上的催化降解过程的性能。还对设计的人工神经网络模型的预测结果与实验数据进行了比较。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号