Modeling photocatalytic degradation of diazinon from aqueous solutions and effluent toxicity risk assessment using Escherichia coli LMG 15862
Abstract 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...
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doaj-c192cde43c1141ca948694756585ae412020-11-24T21:45:43ZengSpringerOpenAMB Express2191-08552018-04-018111310.1186/s13568-018-0589-0Modeling photocatalytic degradation of diazinon from aqueous solutions and effluent toxicity risk assessment using Escherichia coli LMG 15862Ali Toolabi0Mohammad Malakootian1Mohammad Taghi Ghaneian2Ali Esrafili3Mohammad Hassan Ehrampoush4Mohsen AskarShahi5Maesome Tabatabaei6Environmental Science and Technology Research Center, Department of Environmental Health Engineering, Shahid Sadoughi University of Medical SciencesEnvironmental Health Engineering Research Center, Kerman University of Medical SciencesEnvironmental Science and Technology Research Center, Department of Environmental Health Engineering, Shahid Sadoughi University of Medical SciencesDepartment of Environmental Health Engineering, School of Public Health, Iran University of Medical SciencesEnvironmental Science and Technology Research Center, Department of Environmental Health Engineering, Shahid Sadoughi University of Medical SciencesDepartment of Biostatistics and Epidemiology, Shahid Sadoughi University of Medical ScienceDepartment of chemistry, Islamic Azad UniversityAbstract 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 (R2 = 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 (EC100) 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).http://link.springer.com/article/10.1186/s13568-018-0589-0ModelingDiazinonDehydrogenase enzymeEffluent bioassay |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ali Toolabi Mohammad Malakootian Mohammad Taghi Ghaneian Ali Esrafili Mohammad Hassan Ehrampoush Mohsen AskarShahi Maesome Tabatabaei |
spellingShingle |
Ali Toolabi Mohammad Malakootian Mohammad Taghi Ghaneian Ali Esrafili Mohammad Hassan Ehrampoush Mohsen AskarShahi Maesome Tabatabaei Modeling photocatalytic degradation of diazinon from aqueous solutions and effluent toxicity risk assessment using Escherichia coli LMG 15862 AMB Express Modeling Diazinon Dehydrogenase enzyme Effluent bioassay |
author_facet |
Ali Toolabi Mohammad Malakootian Mohammad Taghi Ghaneian Ali Esrafili Mohammad Hassan Ehrampoush Mohsen AskarShahi Maesome Tabatabaei |
author_sort |
Ali Toolabi |
title |
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_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_sort |
modeling photocatalytic degradation of diazinon from aqueous solutions and effluent toxicity risk assessment using escherichia coli lmg 15862 |
publisher |
SpringerOpen |
series |
AMB Express |
issn |
2191-0855 |
publishDate |
2018-04-01 |
description |
Abstract 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 (R2 = 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 (EC100) 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). |
topic |
Modeling Diazinon Dehydrogenase enzyme Effluent bioassay |
url |
http://link.springer.com/article/10.1186/s13568-018-0589-0 |
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