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MoS/N-TiO/Ti 网板可见光光催化臭氧化萘普生和工业废水:比较研究和人工神经网络建模。

MoS/N-TiO/Ti mesh plate for visible-light photocatalytic ozonation of naproxen and industrial wastewater: comparative studies and artificial neural network modeling.

机构信息

Department of Applied Chemistry, Faculty of Chemistry, Kharazmi University, 15719-14911, Tehran, Iran.

出版信息

Environ Sci Pollut Res Int. 2022 Mar;29(15):22454-22468. doi: 10.1007/s11356-021-17285-w. Epub 2021 Nov 17.

DOI:10.1007/s11356-021-17285-w
PMID:34787809
Abstract

This paper presents the results of visible-light assisted photocatalytic ozonation for the degradation of naproxen as a model pharmaceutical pollutant from water using MoS/N-TiO immobilized on a titanium mesh plate in addition to treatment of a real industrial wastewater. The batch studies were performed for naproxen degradation by varying the reaction variables such as ozone flow rate, initial pH and pollutant concertation. It was observed that almost 90% degradation was achieved at pH = 4, ozone flow rate = 3 L min and initial naproxen concentration = 5 mg L. The catalyst exhibited constant activity even after seven successive cycles. Comparative studies among sorption, ozonation, photocatalysis, catalytic ozonation and photocatalytic ozonation revealed that the later process had the highest degradation of pollutant. Moreover, an artificial neural network (ANN) model was developed to simulate the performance of visible-light photocatalytic ozonation in naproxen degradation. The developed ANN model could estimate the visible-light photocatalytic ozonation process under the different experimental conditions. Finally, the applicability of the photocatalytic ozonation was successfully approved for industrial wastewater treatment. The results showed that the COD removal efficiency reached 65% within 150 min. HIGHLIGHTS: • MoS/N-TiO/Ti was synthesized by the quick electrophoretic deposition method. • The catalyst showed good ability in naproxen degradation via visible-light photocatalytic ozonation. • A three-layer artificial neural network model was developed to predict the naproxen degradation. • Naproxen degradation efficiency through the photocatalytic ozonation was higher than the individual methods. • COD of real wastewater was reduced significantly after the visible-light photocatalytic ozonation process.

摘要

本文提出了可见光辅助光催化臭氧化法降解水中萘普生的结果,萘普生是一种模型药物污染物,使用负载在钛网板上的 MoS/N-TiO 进行处理,此外还处理了实际工业废水。通过改变反应变量,如臭氧流量、初始 pH 值和污染物浓度,进行了萘普生降解的批处理研究。结果表明,在 pH=4、臭氧流量=3 L min 和初始萘普生浓度=5 mg L 的条件下,几乎达到了 90%的降解。催化剂即使在经过七个连续循环后仍保持恒定的活性。吸附、臭氧化、光催化、催化臭氧化和光催化臭氧化之间的比较研究表明,后一种工艺对污染物的降解效果最高。此外,还开发了一种人工神经网络(ANN)模型来模拟可见光光催化臭氧化在萘普生降解中的性能。所开发的 ANN 模型可以在不同的实验条件下估计可见光光催化臭氧化过程。最后,成功验证了光催化臭氧化在工业废水处理中的适用性。结果表明,在 150 分钟内,COD 去除效率达到 65%。

要点

  • MoS/N-TiO/Ti 通过快速电泳沉积法合成。

  • 该催化剂在可见光光催化臭氧化降解萘普生方面表现出良好的能力。

  • 开发了一个三层人工神经网络模型来预测萘普生的降解。

  • 通过光催化臭氧化降解萘普生的效率高于单独的方法。

  • 可见光光催化臭氧化工艺后,实际废水的 COD 显著降低。

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