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Optimizing the Removal of Organophosphorus Pesticide Malathion From Water Using Multi-Walled Carbon Nanotubes Publisher



Dehghani MH1, 2 ; Niasar ZS3 ; Mehrnia MR4 ; Shayeghi M5 ; Alghouti MA6 ; Heibati B1 ; Mckay G7 ; Yetilmezsoy K8
Authors
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Authors Affiliations
  1. 1. Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
  2. 2. Institute for Environmental Research, Center for Solid Waste Research, Tehran, Iran
  3. 3. Faculty of Engineering, Islamic Azad University, Tehran Center Branch, Tehran, Iran
  4. 4. School of Chemical Engineering, College of Engineering, University of Tehran, P.O. Box, Tehran, 11155-4563, Iran
  5. 5. Medical Entomology and Vector Control Department, Faculty of Health, Tehran University of Medical Sciences, Tehran, Iran
  6. 6. Department of Biological and Environmental Sciences, College of Arts and Sciences, Qatar University, P.O. Box 2713, Doha, Qatar
  7. 7. Division of Sustainability, College of Science and Engineering, Hamad Bin Khalifa University, Education City, Qatar Foundation, Doha, Qatar
  8. 8. Department of Environmental Engineering, Faculty of Civil Engineering, Yildiz Technical University, 34220, Davutpasa, Esenler, Istanbul, Turkey

Source: Chemical Engineering Journal Published:2017


Abstract

The aim of this study was to investigate the applicability of the adsorption process for the removal of organophosphorus pesticide malathion 57% from water by using multi-walled carbon nanotubes (MWCNTs). The impact of various experimental conditions such as pH, quantity of adsorbent, concentration of pesticides, contact time and temperature was studied and optimized for the maximum removal of malathion. Unlike conventional optimization, a limited number of experiments (26 steps) were performed in a cost-effective manner for different independent variables such as MWCNTs concentration (0.1–0.5 g/L), the malathion (57%) concentration (6 mg/L and 10 mg/L), contact time (2–30 min) and pH (neutral range). Based on the experimental data obtained in a lab-scale batch study, a three-factor response surface modeling (RSM) approach was implemented in order to optimize the conditions for maximum removal of malathion, and compare experimental results with standardized malathion samples. The optimized conditions to achieve the maximum removal of malathion (100%) were determined to be a malathion concentration of 6 mg/L, an initial MWCNTs concentration of 0.5 g/L, and a contact time of 30 min. Findings of this study clearly indicated that 100% of the malathion could be cost-effectively removed by MWCNTs in conditions predicted by the proposed optimization methodology. © 2016
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