TY - JOUR
T1 - Pesticide decontamination using UV/ferrous-activated persulfate with the aid neuro-fuzzy modeling
T2 - A case study of Malathion
AU - Vasseghian, Yasser
AU - Moradi, Masoud
AU - Pirsaheb, Meghdad
AU - Khataee, Alireza
AU - Rahimi, Shoeib
AU - Badi, Mojtaba Yegane
AU - Mousavi Khaneghah, Amin
N1 - Publisher Copyright:
© 2020 Elsevier Ltd
PY - 2020/11
Y1 - 2020/11
N2 - In the current study, the Malathion decontamination by the aid of the UV/ferrous-activated persulfate (PS) was investigated and the effects of pH, persulfate (PS) concentration, ferrous concentration, Malathion concentration, and different inorganic ions were evaluated. Also, the Adaptive Neuro-Fuzzy Inference System (ANFIS) was applied to model Malathion degradation data. The maximum degradation efficiency was associated with pH = 3, PS concentration of 1.2 mM, the ferrous concentration of 0.6 mM, Malathion concentration of 20 mg/L for 60 min. The degradation efficiency was decreased in the presence of Cl− (23%), NO3− (13.5%), HCO3− (35.4%) and H2PO4− (48.7%) ions. Results revealed that persulfate radical (52%) plays a more important role in Malathion degradation while compared with hydroxyl radical (15%). The low root mean square error (RMSE = 6.451), mean absolute error (MAE = 3.8306), absolute-average-deviation (AAD = 0.1005) and high coefficient of determination (R2 = 0.972) correlated with the proposed ANFIS models confirmed the model accuracy. Besides, the process optimization was conducted by using ANFIS to predict the best operating circumstances, which resulted in the maximum Malathion degradation (95.54%).
AB - In the current study, the Malathion decontamination by the aid of the UV/ferrous-activated persulfate (PS) was investigated and the effects of pH, persulfate (PS) concentration, ferrous concentration, Malathion concentration, and different inorganic ions were evaluated. Also, the Adaptive Neuro-Fuzzy Inference System (ANFIS) was applied to model Malathion degradation data. The maximum degradation efficiency was associated with pH = 3, PS concentration of 1.2 mM, the ferrous concentration of 0.6 mM, Malathion concentration of 20 mg/L for 60 min. The degradation efficiency was decreased in the presence of Cl− (23%), NO3− (13.5%), HCO3− (35.4%) and H2PO4− (48.7%) ions. Results revealed that persulfate radical (52%) plays a more important role in Malathion degradation while compared with hydroxyl radical (15%). The low root mean square error (RMSE = 6.451), mean absolute error (MAE = 3.8306), absolute-average-deviation (AAD = 0.1005) and high coefficient of determination (R2 = 0.972) correlated with the proposed ANFIS models confirmed the model accuracy. Besides, the process optimization was conducted by using ANFIS to predict the best operating circumstances, which resulted in the maximum Malathion degradation (95.54%).
KW - Advanced oxidation process
KW - Malathion degradation
KW - Neuro-fuzzy model
KW - Persulfate
UR - http://www.scopus.com/inward/record.url?scp=85088130010&partnerID=8YFLogxK
U2 - 10.1016/j.foodres.2020.109557
DO - 10.1016/j.foodres.2020.109557
M3 - Article
C2 - 33233179
AN - SCOPUS:85088130010
SN - 0963-9969
VL - 137
JO - Food Research International
JF - Food Research International
M1 - 109557
ER -