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Enantioseparation via EIC-OSN: Process design and improvement of enantiomers resolvability and separation performance

Authors

  • Issara Sereewatthanawut,

    1. Membrane Extraction Technology Ltd, Unit 25, Talina Centre, Bagleys' Lane, London, SW6 2BW, U.K.
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  • Frederico Castelo Ferreira,

    1. Institute for Biotechnology and Bioengineering (IBB), Centre for Biological and Chemical Engineering, Instituto Superior Técnico, Lisboa, Portugal; and Dept. of Chemical Engineering and Chemical Technology, Imperial College London, U.K.
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  • Nazlee F. Ghazali,

    1. Dept. of Chemical Engineering and Chemical Technology, Imperial College London, SW7 2AZ, U.K.
    Current affiliation:
    1. Dept. of Bioprocess Engineering, Faculty of Chemical and Natural Resources Engineering, Universiti Teknologi Malaysia, 81310 UTM Skudai, Johor, Malaysia
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  • Andrew G. Livingston

    Corresponding author
    1. Dept. of Chemical Engineering and Chemical Technology, Imperial College London, SW7 2AZ, U.K.
    • Dept. of Chemical Engineering and Chemical Technology, Imperial College London, SW7 2AZ, U.K.
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Abstract

This article presents a mathematical model to assess and optimize the separation performance of an enantioselective inclusion complexation-organic solvent nanofiltration process. Enantiomer solubilities, feed concentrations, solvent compositions, permeate solvent volumes, and numbers of nanofiltrations were identified as key factors for process efficiency. The model was first tested by comparing calculated and experimental results for a nonoptimized process, and then, calculations were carried out to select the best operating conditions. An important finding was that the optimal configuration varied with the objective function selected, e.g., resolvability versus yield, with a boundary on product optical purity. The model also suggested that the process efficiency could benefit from diafiltration of the distomer and from the use of higher feed concentrations. However, the latter strategy would result in higher losses of eutomer. To address this drawback, a multistage process was evaluated using the verified process model. © 2009 American Institute of Chemical Engineers AIChE J, 2010

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