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    • ISSN: 2010-0221 (Print)
    • Abbreviated Title: Int. J. Chem. Eng. Appl.
    • Frequency: Half-yearly
    • DOI: 10.18178/IJCEA
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Editor-in-chief
Prof. Dr. Shen-Ming Chen
National Taipei University of Technology, Taiwan
 

IJCEA 2012 Vol.3(2): 141-146
doi: 10.7763/IJCEA.2012.V3.175

Modeling and Optimization of Recovery Process of Glycolic Acid using Reactive Extraction

Dipaloy Datta , Sushil Kumar

  • Chemical Engineering Department, Birla Institute of Technology & Science (BITS) PILANI, Pilani, Rajasthan 333031, INDIA.

Abstract

The equilibrium reactive extraction of glycolic acid (GA) from aqueous solution is studied using tri-n-octylamine (TOA) as extractant dissolved in organic solvents (cyclohexane and 1-decanol). Experimental studies are designed using central composite orthogonal design method to investigate the main and interaction effects of initial GA concentration in the aqueous phase (C<sub>in</sub>, mol/L), initial TOA composition in the organic phase (C<sub>TOA</sub>,o, %v/v) and modifier composition (M, %v/v) on the degree of extraction (Y). The process design parameters are optimized based on Y and using bio-inspired optimization algorithm, called differential evolution (DE). A quadratic response surface model is satisfactorily described with R<sup>2</sup> of 0.98. The optimum conditions using DE are obtained as C<sub>in</sub> = 0.24 mol/L, C<sub>TOA</sub>,o = 16.1 (%v/v), and M = 80.38 (%v/v). At this optimum conditions, a Y of 73.18% can be obtained from the model. Experimental verification gives a Y of 69.25% with a model error of 5.7%. This indicates high reliability of the model.

Keywords

  • Reactive extraction
  • glycolic acid
  • modeling
  • optimization
175-C10077

How to Cite

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Dipaloy Datta and Sushil Kumar, "Modeling and Optimization of Recovery Process of Glycolic Acid using Reactive Extraction," International Journal of Chemical Engineering and Applications, vol. 3, no. 2, pp. 141-146, 2012. https://doi.org/10.7763/IJCEA.2012.V3.175

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Copyright © 2012 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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