Algerian Journal of Engineering Research
Volume 1, Numéro 1, Pages 01-10

Application Of Full Factorial Experimental Design And Central Composite Design For The Modeling And Optimization Of Electrocoagulation Process For The Removal Of Tylosin

Authors : Katia Madi-azegagh . Farida Aissani-benissad . Idris Yahiaoui .


In this study the removal of Tylosin (Tylo) from wastewater was experimentally investigated by using electrocoagulation (EC) process. Iron grid was used in the reactor as material for the electrode (cathode) which is a waste. Full Factorial Design (FFD) and Central Composite Design experiments (CCD) were used for the optimization of the electrocoagulation process in order to evaluate the effect of process variables and their interaction on Tylosin removal. The first and the second–order models obtained showed the classification of these parameters based on their level of significance. Pareto analysis results and the values of Student’s distribution showed that the most influencing factor was the initial Tylosin concentration with a negative effect, followed by the electrolysis time, the current density and the temperature. The analysis of variance (ANOVA) of the two models showed high values for the determination coefficients (R2First-order = 0.9408, R2Second-order =0.9257) for the predicted values using the Response Surface Methodology (RSM). According to the first order model the interactions: temperature-initial concentration of Tylo (x1-x2) temperature-electrolysis time (x1-x4), initial concentration of Tylo-current density (x2 -x3), initial concentration of Tylo- electrolysis time (x2-x4), and current density-electrolysis time (x3-x4) were significant excepted the interaction between temperature- current density. The strongest interaction was only between the initial concentration of Tylo and current density (x2 -x3). Graphical response surface and contour plots were used to locate the optimum point. The electrocoagulation process was able to achieve 98% of Tylosin removal yield.


Electrocoagulation, Tylosin, Factorial design, Central composite design.