Prediction of zinc extraction using facilitated emulsion liquid membrane model

• Main Authors: Mohamed Noah, Norul Fatiha, Othman, Norasikin, Binanga, Hakim
• Format: Article
• Language: English
• Published: Penerbit UTM Press 2022
• Subjects: Q Science (General)
• Online Access: http://eprints.utm.my/id/eprint/102849/1/NorasikinOthman2022_PredictionofZincExtractionusingFacilitated.pdf; http://eprints.utm.my/id/eprint/102849/; http://dx.doi.org/10.11113/mjfas.v18n2.2329

This study presents the modelling of zinc extraction facilitated by emulsion liquid membrane (ELM). The previous model by Ooi (2015) was extended and modified in accordance with the present research objectives and scope for prediction of Zinc extraction. The modified model is based on the chemical interaction between the carrier molecules and zinc ions, as well as the mass transport mechanism. Furthermore, the model also accounts for the effect of Sauter mean diameter of the emulsion on the extraction efficiency. MATLAB was applied to simulate the ELM extraction of zinc-based on the validated model. The model was validate using experimental data by Reis and Carvalho (2004). The simulation result showed an agreement with experiment data where 100% of Zn was extracted at optimum condition of 1:6.15 treat ratio, 300ppm of initial zinc concentration, 8 w/v % of (bis(2-ethylhexyl)thiophosphoric acid (D2EHTPA) as carrier, and 2.5 M sulphuric acid (H2SO4) as stripping agent. The consistent results between the experimental and simulated data increased the reliability of the model as a viable prediction tool for zinc extraction using facilitated ELM.