Abstract
ABSTRACT The reactive extraction of glycolic acid (GA) using tri-n-octylamine (TOA) in a mixture of inert diluent and modifier was modeled by response surface methodology (RSM), which was found to be the most preferred method for nonparametric modeling in chemical engineering. Differential evolution (DE), a bio-inspired evolutionary-based algorithm, was employed to determine global optimum parameters, due to the limitations of traditional optimization methods. The degree of extraction (%Y) was modeled and optimized considering four independent design variables: (i) GA concentration (Cin ), (ii) TOA composition (), (iii) modifier composition (M), and (iv) equilibrium temperature (T). The RSM model correlates design variables to response with R2 = 0.98. At optimum conditions (Cin = 0.1707 mol/L, = 22.31 (%v/v), M = 73.28 (%v/v), and T = 23 ± 0.5°C) offered by the RSM model and DE, the model predicted and experimental values of %Y were found to be 94.95% and 91.83%, respectively.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
