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Rapid degradation of contaminated soil with 2‐methylpropane‐2‐thiol by H 2 O 2 /KMnO 4 /NaClO system: process modeling and optimization
Author(s) -
Roohi Pejman,
Fatehifar Esmaeil,
Alizadeh Reza
Publication year - 2016
Publication title -
asia‐pacific journal of chemical engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.348
H-Index - 35
eISSN - 1932-2143
pISSN - 1932-2135
DOI - 10.1002/apj.2006
Subject(s) - environmental remediation , chemistry , thiol , contamination , analytical chemistry (journal) , inorganic chemistry , nuclear chemistry , environmental chemistry , organic chemistry , ecology , biology
2‐Methylpropane‐2‐thiol is a hazardous material, and remediation of soil polluted by this contaminant with a fast method is important to study. In this study, H 2 O 2 /KMnO 4 /NaClO system as a combined system is investigated for 2‐methylpropane‐2‐thiol oxidation because of especial characteristics of each oxidation agent. Central composite design based on response surface methodology was used to obtain appropriate effects of the main factors (initial oxidant concentrations and FeSO 4 to soil ratio) and their interactions on the removal efficiency. Pareto analysis show that initial H 2 O 2 concentration, FeSO 4 to soil ratio, initial NaClO concentration, and interaction between H 2 O 2 and FeSO 4 are the most influential factors on 2‐methylpropane‐2‐thiol removal efficiency (31.82%, 16.85%, 16.24%, and 8.62% respectively). P ‐value of lack‐of‐fit (0.621) indicates that suggested model adequately fits the data with high correlation coefficient ( R 2 = 97.59%). Investigation of optimum condition suggests that interaction of KMnO 4 with H 2 O 2 drops the removal efficiency and its concentration has to be as low as possible. The concentration of other studied oxidation agents and Fe 2+ ion must be as high as possible in the studied intervals. Verification experiment at optimum condition shows 95.71% for maximum 2‐methylpropane‐2‐thiol removal efficiency that is a good agreement with the predicted value (94.76%). © 2016 Curtin University of Technology and John Wiley & Sons, Ltd.