The effects of chemical coagulants on the decolorization of dyes by electrocoagulation using response surface methodology (RSM)

Abstract

This study assessed the efficiency of electrocoagulation (ECF) coupled with an addition of chemical coagulant to decolorize textile dye. Tests were conducted using Box Behnken methodology to vary six parameters: dye type, weight, coagulant type, dose, initial pH and current density. The combination of electrocoagulation and chemical coagulation was able to decolorize dye up to 99.42 % in 30 min of treatment time which is remarkably shorter in comparison with using conventional chemical coagulation. High color removal was found to be contingent upon the dye type and current density, along with the interactions between the current density and the coagulant dose. The addition of chemical coagulants did enhanced treatment efficiency.

Reuse of Textile Wastewater After Treating with Combined Process of Chemical Coagulation and Electrocoagulation

“…This implied that a combination of both processes did great work in decolorizing the wastewater for both dyes, and excellent results were obtained. A study conducted to treat the textile wastewater by applying electrocoagulation resulted in nearly complete decolorization, i.e., 92.3% [14], while another study using Box Behnken methodology gave an efficiency of 99.4% [19]. EC treatment was applied to remove the orange dye from the solution and the result was 98.3% [27].…”

“…According to Butler et al [19], the combined treatment with chemical coagulant and electro coagulation reached 99.42% efficiency of color removal of dye from wastewater. This study depends on various parameters such as dye type, coagulant type, weight, dose, pH and density by using Box Behnken methodology [19].…”

Trimetallic composite nanofibers for antibacterial and photocatalytic dye degradation of mixed dye water

“…However, due to the high stability of the dyes and aromatic nature of the dye molecules, biological treatment methods are ineffective for degradation (Arslan and Balcioğlu 1999 ; Correia et al 1994 ; Moore et al 1989 ; Patil and Shinde 1988 ) . The other traditional physical removal techniques such as adsorption on activated carbon (Aboua et al 2015 ), ultrafiltration(Bouazizi et al 2017 ; Hidalgo et al 2018 ), reverse osmosis(Sahinkaya et al 2018 ), and coagulation by chemical agents(Butler et al 2017 ) only transfer the organic compounds from water to another phase, thus causing secondary pollution resulting in enhanced post-treatment cost of solid waste management (Cooper 1993 ; Galindo et al 2001 ). Several metal oxide semiconductor materials are now being used for their excellent photocatalytic activity such as ZnO, TiO 2 , and CeO 2 (Younis et al 2018 ), and metal sulfides (Shamraiz et al 2016 ) such as MnS (Hussain et al 2019a ) and CoS (Hussain et al 2019b ) in abating harmful dyes from drinking water.…”

Removal of pollutants with determination of power consumption from landfill leachate wastewater using an electrocoagulation process: optimization using response surface methodology (RSM)

“…Among the electrochemical methods, electrocoagulation process appears to be the most effective substitution for the conventional coagulation and flotation process as it can deal with pollutants with a variety of compositions (Wang et al 2009;Butler et al 2017).…”

“…It is a regression analysis used to predict the value of dependent variable based on the controlled values of independent variables. Numerous experiment combinations can be generated within a short period of time, thus allowing researchers to know whether the tested parameter has a significant impact on the research work (Liu et al 2012;Butler et al 2017). In many technical fields, it is common that the output variable (Y) exists with a set of predicted variables or the input variables ( X 1 , X 2 , X 3 , … X k ) .…”