Abstract
Eggshells was used as a natural adsorbent to remove direct blue(DB) dye from aqueous solution and investigating the four factors that affect the adsorption of DB dye ; amount of eggshell rang (0.1 - 1g), initial concentration (10 - 60 mg/L ), time ( 5 - 45 min.) and pH (3 - 11). Central Composition Design with four variables and five levels coupled with response surface method was adopted to get a second order polynomial equation for dye removal percentage as the response, and to obtain the optimum conditions for maximum dye removal percentage ; which reach 84% with optimum point , eggshell (0.835 g) ,time (24min.) , initial dye concentration ( 10 mg/L) , pH (4.2). The most effecting factors on dye removal are pH and initial dye concentration. Langmuir, Freundich model gives good fitting with (R2 ]0.98). The process of adsorption of DB dye on eggshell fitted a pseudo-second order kinetic model.
Highlights
Eggshells was used as a natural adsorbent to remove direct blue(DB) dye from aqueous solution and investigating the four factors that affect the adsorption of DB dye ; amount of eggshell rang (0.1 - 1g), initial concentration (10 - 60 mg/L ), time ( 5 - 45 min.) and pH (3 - 11)
A central composite design, (CCD) was used to obtain statistical model for dye removal percentage and finding optimal conditions for the effective factors by response surface methodology was confirmed by the analysis of variance (ANOVA)
The experimental design results of dye removal % is given in table (3) includes 31 runs, real data obtained from experiments and the fitted values of the developed model. These results were subjected to analysis of variance (ANOVA); in table (4) shows the regression coefficients for the response function and P- value lower than 0.05 was considered significant in surface response analysis
Summary
Eggshells was used as a natural adsorbent to remove direct blue(DB) dye from aqueous solution and investigating the four factors that affect the adsorption of DB dye ; amount of eggshell rang (0.1 - 1g), initial concentration (10 - 60 mg/L ), time ( 5 - 45 min.) and pH (3 - 11). Central Composition Design with four variables and five levels coupled with response surface method was adopted to get a second order polynomial equation for dye removal percentage as the response, and to obtain the optimum conditions for maximum dye removal percentage ; which reach 84% with optimum point , eggshell (0.835 g) ,time (24min.) , initial dye concentration ( 10 mg/L) , pH (4.2). The effect of four parameters in adsorption of dye including: sorbent dosage (eggshell), time, initial dye concentration, pH values and their interactions on dye removal were investigated. A central composite design, (CCD) was used to obtain statistical model for dye removal percentage and finding optimal conditions for the effective factors by response surface methodology was confirmed by the analysis of variance (ANOVA)
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