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The catalytic ozonation of diazinon using nano-MgO@CNT@Gr as a new heterogenous catalyst: the optimization of effective factors by response surface methodology

In this research, the degradation of the insecticide diazinon was studied using a new hybrid catalyst consisting of magnesium oxide nanoparticles (nano-MgO), carbon nanotubes (CNTs), and graphite (Gr), nano-MgO@CNT@Gr, under various experimental conditions. This study shows the optimization of the n...

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Autores principales: Asgari, Ghorban, Seidmohammadi, Abdolmotaleb, Esrafili, Ali, Faradmal, Javad, Noori Sepehr, Mohammad, Jafarinia, Maghsoud
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society of Chemistry 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9049956/
https://www.ncbi.nlm.nih.gov/pubmed/35492203
http://dx.doi.org/10.1039/c9ra10095d
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author Asgari, Ghorban
Seidmohammadi, Abdolmotaleb
Esrafili, Ali
Faradmal, Javad
Noori Sepehr, Mohammad
Jafarinia, Maghsoud
author_facet Asgari, Ghorban
Seidmohammadi, Abdolmotaleb
Esrafili, Ali
Faradmal, Javad
Noori Sepehr, Mohammad
Jafarinia, Maghsoud
author_sort Asgari, Ghorban
collection PubMed
description In this research, the degradation of the insecticide diazinon was studied using a new hybrid catalyst consisting of magnesium oxide nanoparticles (nano-MgO), carbon nanotubes (CNTs), and graphite (Gr), nano-MgO@CNT@Gr, under various experimental conditions. This study shows the optimization of the nano-MgO@CNT@Gr/O(3) process for diazinon degradation in aqueous solutions. Box–Behnken experimental design (BBD) and response surface methodology (RSM) were used to assess and optimize the solo effects and interactions of four variables, pH, catalyst loading, reaction time, and initial diazinon concentration, during the nano-MgO@CNT@Gr/O(3) process. Analysis of regression revealed an adequate fit of the experimental results with a quadratic model, with R(2) > 0.91. Following the collection of analysis of variance (ANOVA) results, pH, catalyst loading, and reaction time were seen to have significant positive effects, whereas the concentration of diazinon had a considerable negative impact on diazinon removal via catalytic ozonation. The four variables for maximum diazinon removal were found to be optimum (82.43%) at the following levels: reaction time, 15 min; pH, 10; catalyst dosage, 1.5 g L(−1); and diazinon concentration, 10 mg L(−1). The degradation of diazinon gave six kinds of by-products. The mechanism of diazinon decomposition was considered on the basis of the identified by-products. According to these results, the nano-MgO@CNT@Gr/O(3) process could be an applicable technique for the treatment of diazinon-containing wastewater.
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spelling pubmed-90499562022-04-29 The catalytic ozonation of diazinon using nano-MgO@CNT@Gr as a new heterogenous catalyst: the optimization of effective factors by response surface methodology Asgari, Ghorban Seidmohammadi, Abdolmotaleb Esrafili, Ali Faradmal, Javad Noori Sepehr, Mohammad Jafarinia, Maghsoud RSC Adv Chemistry In this research, the degradation of the insecticide diazinon was studied using a new hybrid catalyst consisting of magnesium oxide nanoparticles (nano-MgO), carbon nanotubes (CNTs), and graphite (Gr), nano-MgO@CNT@Gr, under various experimental conditions. This study shows the optimization of the nano-MgO@CNT@Gr/O(3) process for diazinon degradation in aqueous solutions. Box–Behnken experimental design (BBD) and response surface methodology (RSM) were used to assess and optimize the solo effects and interactions of four variables, pH, catalyst loading, reaction time, and initial diazinon concentration, during the nano-MgO@CNT@Gr/O(3) process. Analysis of regression revealed an adequate fit of the experimental results with a quadratic model, with R(2) > 0.91. Following the collection of analysis of variance (ANOVA) results, pH, catalyst loading, and reaction time were seen to have significant positive effects, whereas the concentration of diazinon had a considerable negative impact on diazinon removal via catalytic ozonation. The four variables for maximum diazinon removal were found to be optimum (82.43%) at the following levels: reaction time, 15 min; pH, 10; catalyst dosage, 1.5 g L(−1); and diazinon concentration, 10 mg L(−1). The degradation of diazinon gave six kinds of by-products. The mechanism of diazinon decomposition was considered on the basis of the identified by-products. According to these results, the nano-MgO@CNT@Gr/O(3) process could be an applicable technique for the treatment of diazinon-containing wastewater. The Royal Society of Chemistry 2020-02-21 /pmc/articles/PMC9049956/ /pubmed/35492203 http://dx.doi.org/10.1039/c9ra10095d Text en This journal is © The Royal Society of Chemistry https://creativecommons.org/licenses/by/3.0/
spellingShingle Chemistry
Asgari, Ghorban
Seidmohammadi, Abdolmotaleb
Esrafili, Ali
Faradmal, Javad
Noori Sepehr, Mohammad
Jafarinia, Maghsoud
The catalytic ozonation of diazinon using nano-MgO@CNT@Gr as a new heterogenous catalyst: the optimization of effective factors by response surface methodology
title The catalytic ozonation of diazinon using nano-MgO@CNT@Gr as a new heterogenous catalyst: the optimization of effective factors by response surface methodology
title_full The catalytic ozonation of diazinon using nano-MgO@CNT@Gr as a new heterogenous catalyst: the optimization of effective factors by response surface methodology
title_fullStr The catalytic ozonation of diazinon using nano-MgO@CNT@Gr as a new heterogenous catalyst: the optimization of effective factors by response surface methodology
title_full_unstemmed The catalytic ozonation of diazinon using nano-MgO@CNT@Gr as a new heterogenous catalyst: the optimization of effective factors by response surface methodology
title_short The catalytic ozonation of diazinon using nano-MgO@CNT@Gr as a new heterogenous catalyst: the optimization of effective factors by response surface methodology
title_sort catalytic ozonation of diazinon using nano-mgo@cnt@gr as a new heterogenous catalyst: the optimization of effective factors by response surface methodology
topic Chemistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9049956/
https://www.ncbi.nlm.nih.gov/pubmed/35492203
http://dx.doi.org/10.1039/c9ra10095d
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