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Optimization of photochemical decomposition acetamiprid pesticide from aqueous solutions and effluent toxicity assessment by Pseudomonas aeruginosa BCRC using response surface methodology

Contamination of water resources by acetamiprid pesticide is considered one of the main environmental problems. The aim of this study was the optimization of acetamiprid removal from aqueous solutions by TiO(2)/Fe(3)O(4)/SiO(2) nanocomposite using the response surface methodology (RSM) with toxicity...

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Autores principales: Toolabi, Ali, Malakootian, Mohammad, Ghaneian, Mohammad Taghi, Esrafili, Ali, Ehrampoush, Mohammad Hassan, Tabatabaei, Maesome, AskarShahi, Mohsen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5544660/
https://www.ncbi.nlm.nih.gov/pubmed/28789482
http://dx.doi.org/10.1186/s13568-017-0455-5
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author Toolabi, Ali
Malakootian, Mohammad
Ghaneian, Mohammad Taghi
Esrafili, Ali
Ehrampoush, Mohammad Hassan
Tabatabaei, Maesome
AskarShahi, Mohsen
author_facet Toolabi, Ali
Malakootian, Mohammad
Ghaneian, Mohammad Taghi
Esrafili, Ali
Ehrampoush, Mohammad Hassan
Tabatabaei, Maesome
AskarShahi, Mohsen
author_sort Toolabi, Ali
collection PubMed
description Contamination of water resources by acetamiprid pesticide is considered one of the main environmental problems. The aim of this study was the optimization of acetamiprid removal from aqueous solutions by TiO(2)/Fe(3)O(4)/SiO(2) nanocomposite using the response surface methodology (RSM) with toxicity assessment by Pseudomonas aeruginosa BCRC. To obtain the optimum condition for acetamiprid degradation using RSM and central composite design (CCD). The magnetic TiO(2)/Fe(3)O(4)/SiO(2) nanocomposite was synthesized using co-precipitation and sol–gel methods. The surface morphology of the nanocomposite and magnetic properties of the as-synthesized Fe(3)O(4) nanoparticles were characterised by scanning electron microscope and vibrating sample magnetometer, respectively. In this study, toxicity assessment tests have been carried out by determining the activity of dehydrogenase enzyme reducing Resazurin (RR) and colony forming unit (CFU) methods. According to CCD, quadratic optimal model with R(2) = 0.99 was used. By analysis of variance, the most effective values of each factor were determined in each experiment. According to the results, the most optimal conditions for removal efficiency of acetamiprid (pH = 7.5, contact time = 65 min, and dose of nanoparticle 550 mg/L) was obtained at 76.55%. Effect concentration (EC(50)) for RR and CFU test were 1.950 and 2.050 mg/L, respectively. Based on the results obtained from the model, predicted response values showed high congruence with actual response values. And, the model was suitable for the experiment’s design conditions.
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spelling pubmed-55446602017-08-18 Optimization of photochemical decomposition acetamiprid pesticide from aqueous solutions and effluent toxicity assessment by Pseudomonas aeruginosa BCRC using response surface methodology Toolabi, Ali Malakootian, Mohammad Ghaneian, Mohammad Taghi Esrafili, Ali Ehrampoush, Mohammad Hassan Tabatabaei, Maesome AskarShahi, Mohsen AMB Express Original Article Contamination of water resources by acetamiprid pesticide is considered one of the main environmental problems. The aim of this study was the optimization of acetamiprid removal from aqueous solutions by TiO(2)/Fe(3)O(4)/SiO(2) nanocomposite using the response surface methodology (RSM) with toxicity assessment by Pseudomonas aeruginosa BCRC. To obtain the optimum condition for acetamiprid degradation using RSM and central composite design (CCD). The magnetic TiO(2)/Fe(3)O(4)/SiO(2) nanocomposite was synthesized using co-precipitation and sol–gel methods. The surface morphology of the nanocomposite and magnetic properties of the as-synthesized Fe(3)O(4) nanoparticles were characterised by scanning electron microscope and vibrating sample magnetometer, respectively. In this study, toxicity assessment tests have been carried out by determining the activity of dehydrogenase enzyme reducing Resazurin (RR) and colony forming unit (CFU) methods. According to CCD, quadratic optimal model with R(2) = 0.99 was used. By analysis of variance, the most effective values of each factor were determined in each experiment. According to the results, the most optimal conditions for removal efficiency of acetamiprid (pH = 7.5, contact time = 65 min, and dose of nanoparticle 550 mg/L) was obtained at 76.55%. Effect concentration (EC(50)) for RR and CFU test were 1.950 and 2.050 mg/L, respectively. Based on the results obtained from the model, predicted response values showed high congruence with actual response values. And, the model was suitable for the experiment’s design conditions. Springer Berlin Heidelberg 2017-08-04 /pmc/articles/PMC5544660/ /pubmed/28789482 http://dx.doi.org/10.1186/s13568-017-0455-5 Text en © The Author(s) 2017 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
Tabatabaei, Maesome
AskarShahi, Mohsen
Optimization of photochemical decomposition acetamiprid pesticide from aqueous solutions and effluent toxicity assessment by Pseudomonas aeruginosa BCRC using response surface methodology
title Optimization of photochemical decomposition acetamiprid pesticide from aqueous solutions and effluent toxicity assessment by Pseudomonas aeruginosa BCRC using response surface methodology
title_full Optimization of photochemical decomposition acetamiprid pesticide from aqueous solutions and effluent toxicity assessment by Pseudomonas aeruginosa BCRC using response surface methodology
title_fullStr Optimization of photochemical decomposition acetamiprid pesticide from aqueous solutions and effluent toxicity assessment by Pseudomonas aeruginosa BCRC using response surface methodology
title_full_unstemmed Optimization of photochemical decomposition acetamiprid pesticide from aqueous solutions and effluent toxicity assessment by Pseudomonas aeruginosa BCRC using response surface methodology
title_short Optimization of photochemical decomposition acetamiprid pesticide from aqueous solutions and effluent toxicity assessment by Pseudomonas aeruginosa BCRC using response surface methodology
title_sort optimization of photochemical decomposition acetamiprid pesticide from aqueous solutions and effluent toxicity assessment by pseudomonas aeruginosa bcrc using response surface methodology
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5544660/
https://www.ncbi.nlm.nih.gov/pubmed/28789482
http://dx.doi.org/10.1186/s13568-017-0455-5
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