Studies on Extraction of Anionic Dyes by Green Emulsion Liquid Membrane GELM

Abstract

This thesis is mainly concentrated on the selection of different membrane constituents in the formulation of stable GELM. The emulsion was prepared using Rice bran oil (RBO), emulsifier, extractant, ionic liquid, and nanoparticle. Under ideal circumstances, GELM is stable for 185±1.5 min. Additionally, the experimental design was obtained by applying the RSM based on the Box-Behnken Design(BBD). Under optimized conditions, a maximum GELM static stability of 275±2 min was obtained. The GELM technique has been used to extract anionic dyes (Procion Blue MX-R, Midlon Yellow R, and Congo Red), and operating parameters that impact the stability of the emulsion was optimized. Under optimized operation conditions, the maximum dye extraction was estimated as 94.54±1.05 % for PBR dye, 97.85±1.15% for MYR dye and 98.6±0.75% for CR dye, with the maximum dynamic stability of 165±1 min for PBR dye, 155±1 min for MYR dye and 150±1 min for CR dye.Parameter screening and optimization have been carried out for the extraction of anionic dye utilizing RSM. newlineOperating parameters were screened using Plackett-Burman Design(PBD) to identify the most important parameters. These conditions were optimized using BBD to achieve maximum extraction. Given the optimum settings established for key parameters, experiments eliminate 98.71±0.95% of PBR dye, 98.75±1% of MYR dye, and 99.05±0.5% of CR dye from the feed phase. Additionally, the simultaneous removal of azo dyes from aqueous solution using GELM was done and under optimized conditions, the maximum extraction of 97.65±1.75% and 96.25±1.54% for CR and MYR, respectively. The equilibrium study examine the effects of operating parameters on anionic dye concentration. The kinetic analysis showed that extraction follows first-order kinetics. The thermodynamic study determines the nature of the extraction process and its phenomena. The mathematical modeling for the anionic dye extraction using Python was done for two advancing front models: kinetic model and mass transfer model. newline