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Modelling And Optimization Of Dye Removal Process Using Hybrid Response Surface Methodology And Genetic Algorithm Approach | 12181
Journal of Biotechnology & Biomaterials
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In the preset study, An efficient, economic, and eco-friendly green carbon adsorbent derived from the plant bio waste, Acacia
Arabica Fruit, was used to treat aqueous solutions containing a basic dye, Methylene Blue (MB). The effect of various process
parameters such as temperature, pH of solution, initial dye concentration and adsorbent dosage on dye removal was studied by
using experimental runs designed by Central Composite Design. The optimization studies were carried out by changing the
temperature in the range of 250C - 450C, pH between (6-11), initial dye concentration between (25-150 mg/l), and adsorbent
dosage between (0.05-0.25g). Regression and ANOVA data was analysed to know the interaction effect of dye on the adsorbent.
A hybrid RSM-GA based technique was successfully developed to model, simulate, and optimize the biosorption process. The
performance of the RSM-GA method was found to be very impressive. Results proved that the prepared green carbon adsorbent
(AAS) was highly efficient and economical for Methylene Blue removal from aqueous solutions.