TY - JOUR
T1 - Optimizing the removal of organophosphorus pesticide malathion from water using multi-walled carbon nanotubes
AU - Dehghani, Mohammad Hadi
AU - Niasar, Zahra Shariati
AU - Mehrnia, Mohammad Reza
AU - Shayeghi, Mansoreh
AU - Al-Ghouti, Mohammad A.
AU - Heibati, Behzad
AU - McKay, Gordon
AU - Yetilmezsoy, Kaan
N1 - Publisher Copyright:
© 2016
PY - 2017/2/15
Y1 - 2017/2/15
N2 - 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.
AB - 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.
KW - Adsorption
KW - Malathion
KW - Multi-walled carbon nanotubes
KW - Organophosphorus pesticides
KW - Response surface modeling
UR - http://www.scopus.com/inward/record.url?scp=85000925678&partnerID=8YFLogxK
U2 - 10.1016/j.cej.2016.10.057
DO - 10.1016/j.cej.2016.10.057
M3 - Article
AN - SCOPUS:85000925678
SN - 1385-8947
VL - 310
SP - 22
EP - 32
JO - Chemical Engineering Journal
JF - Chemical Engineering Journal
ER -