Optimization of Influencing Parameters on Phenanthrene Removal Efficiency in Soil Washing Process by Using Response Surface Methodology. Issue 1 (2nd January 2018)

• Record Type: Journal Article
• Authors: Gharibzadeh, Farzaneh; Kalantary, Roshanak Rezaei; Golshan, Masoumeh
• Is Part Of: Soil & sediment contamination. Volume 27:Issue 1(2018)
• Page Start: 46
• Page End: 59
• Publication Date: 2018-01-02
• Subjects: Phenanthrene -- soil washing -- Tween 80 -- optimization; Soil pollution -- Periodicals; Soil protection -- Periodicals; 628.5505
• DOI: 10.1080/15320383.2017.1405381
• Languages: English
• ISSNs: 1532-0383

Abstract

ABSTRACT: Response surface methodology (RSM) under Box–Behnken design (BBD) was applied to evaluate the effect of the influencing parameters including surfactant concentration, liquid/soil ratio, Humic Acid concentration, and washing time on phenanthrene removal efficiency in soil washing process by using the nonionic surfactant Tween 80 and find an optimal operational conditions to achieve the highest removal efficiency. A polynomial quadratic model was used to correlate phenanthrene removal efficiency and four independent variables (R 2 = 0.9719). Based on the obtained results the most influential parameter on phenanthrene removal efficiency was surfactant concentration with an impact value of 69.519%. Liquid/soil ratio was also another factor that significantly influenced on removal efficiency with an impact value of 25.014%. The interaction between surfactant concentration and liquid/soil ratio was also shown to have a positive significant effect on removal efficiency ( p value = 0.0027). However, the other independent variables Humic Acid concentration and time were not significant in the ranges selected in this study. Based on the optimization results maximum removal efficiency of 70.692 ± 3.647% was achieved under the conditions of surfactant concentration 5000 mg L −1, liquid/soil ratio 30 v/w, HA concentration 9.88 mg L −1, and washing time 2 h, which was in good agreement with predicted value (66.643%).