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Modeling photocatalytic degradation of diazinon from aqueous solutions and effluent toxicity risk assessment using Escherichia coli LMG 15862

In this study, modeling and degradation of diazinon from contaminated water by advanced oxidation process together with a new test for effluent bioassay using E. coli were investigated. The experiments were designed based on response surface methodology. Nanoparticles (NPs) were synthesized using th...

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Autores principales: Toolabi, Ali, Malakootian, Mohammad, Ghaneian, Mohammad Taghi, Esrafili, Ali, Ehrampoush, Mohammad Hassan, AskarShahi, Mohsen, Tabatabaei, Maesome
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5906421/
https://www.ncbi.nlm.nih.gov/pubmed/29671083
http://dx.doi.org/10.1186/s13568-018-0589-0
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author Toolabi, Ali
Malakootian, Mohammad
Ghaneian, Mohammad Taghi
Esrafili, Ali
Ehrampoush, Mohammad Hassan
AskarShahi, Mohsen
Tabatabaei, Maesome
author_facet Toolabi, Ali
Malakootian, Mohammad
Ghaneian, Mohammad Taghi
Esrafili, Ali
Ehrampoush, Mohammad Hassan
AskarShahi, Mohsen
Tabatabaei, Maesome
author_sort Toolabi, Ali
collection PubMed
description In this study, modeling and degradation of diazinon from contaminated water by advanced oxidation process together with a new test for effluent bioassay using E. coli were investigated. The experiments were designed based on response surface methodology. Nanoparticles (NPs) were synthesized using the sol–gel method. The shape characteristics and specifications of elements in the nanoparticles were characterized using scanning electron microscope and energy dispersive X-ray, respectively. Diazinon was measured using high performance liquid chromatography device and by-products due to its decomposition were identified by gas chromatography-mass (GC–MS). In the present study, effluent bioassay tests were conducted by defining the rate of dehydrogenase enzyme reducing alamar blue method. According to statistical analyses (R(2) = 0.986), the optimized values for pH, dose of NPs, and contact time were found to be 6.75, 775 mg/L, and 65 min, respectively. At these conditions, 96.06% of the diazinon was removed. Four main by-products, diazoxon, 7-methyl-3-octyne, 2-isopropyl-6-methyl-4pyrimidinol and diethyl phosphonate were detected. According to the alamar blue reducing (ABR) test, 50% effective concentration, no observed effect concentration, and 100% effective concentration (EC(100)) for the mortality rate of E. coli were obtained as 2.275, 0.839, and 4.430 mg/L, respectively. Based on the results obtained, it was found that mentioned process was high efficiency in removing diazinon, and also a significant relationship between toxicity assessment tests were obtained (P < 0.05).
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spelling pubmed-59064212018-05-09 Modeling photocatalytic degradation of diazinon from aqueous solutions and effluent toxicity risk assessment using Escherichia coli LMG 15862 Toolabi, Ali Malakootian, Mohammad Ghaneian, Mohammad Taghi Esrafili, Ali Ehrampoush, Mohammad Hassan AskarShahi, Mohsen Tabatabaei, Maesome AMB Express Original Article In this study, modeling and degradation of diazinon from contaminated water by advanced oxidation process together with a new test for effluent bioassay using E. coli were investigated. The experiments were designed based on response surface methodology. Nanoparticles (NPs) were synthesized using the sol–gel method. The shape characteristics and specifications of elements in the nanoparticles were characterized using scanning electron microscope and energy dispersive X-ray, respectively. Diazinon was measured using high performance liquid chromatography device and by-products due to its decomposition were identified by gas chromatography-mass (GC–MS). In the present study, effluent bioassay tests were conducted by defining the rate of dehydrogenase enzyme reducing alamar blue method. According to statistical analyses (R(2) = 0.986), the optimized values for pH, dose of NPs, and contact time were found to be 6.75, 775 mg/L, and 65 min, respectively. At these conditions, 96.06% of the diazinon was removed. Four main by-products, diazoxon, 7-methyl-3-octyne, 2-isopropyl-6-methyl-4pyrimidinol and diethyl phosphonate were detected. According to the alamar blue reducing (ABR) test, 50% effective concentration, no observed effect concentration, and 100% effective concentration (EC(100)) for the mortality rate of E. coli were obtained as 2.275, 0.839, and 4.430 mg/L, respectively. Based on the results obtained, it was found that mentioned process was high efficiency in removing diazinon, and also a significant relationship between toxicity assessment tests were obtained (P < 0.05). Springer Berlin Heidelberg 2018-04-18 /pmc/articles/PMC5906421/ /pubmed/29671083 http://dx.doi.org/10.1186/s13568-018-0589-0 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Article
Toolabi, Ali
Malakootian, Mohammad
Ghaneian, Mohammad Taghi
Esrafili, Ali
Ehrampoush, Mohammad Hassan
AskarShahi, Mohsen
Tabatabaei, Maesome
Modeling photocatalytic degradation of diazinon from aqueous solutions and effluent toxicity risk assessment using Escherichia coli LMG 15862
title Modeling photocatalytic degradation of diazinon from aqueous solutions and effluent toxicity risk assessment using Escherichia coli LMG 15862
title_full Modeling photocatalytic degradation of diazinon from aqueous solutions and effluent toxicity risk assessment using Escherichia coli LMG 15862
title_fullStr Modeling photocatalytic degradation of diazinon from aqueous solutions and effluent toxicity risk assessment using Escherichia coli LMG 15862
title_full_unstemmed Modeling photocatalytic degradation of diazinon from aqueous solutions and effluent toxicity risk assessment using Escherichia coli LMG 15862
title_short Modeling photocatalytic degradation of diazinon from aqueous solutions and effluent toxicity risk assessment using Escherichia coli LMG 15862
title_sort modeling photocatalytic degradation of diazinon from aqueous solutions and effluent toxicity risk assessment using escherichia coli lmg 15862
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5906421/
https://www.ncbi.nlm.nih.gov/pubmed/29671083
http://dx.doi.org/10.1186/s13568-018-0589-0
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