Membrane and Water Treatment

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Energy-saving potential of cross-flow membrane emulsification by ceramic tube membrane with inserted cross-section reducers

  • Albert, K. (Szent Istvan University, Faculty of Food Science, Department of Food Engineering) ;
  • Vatai, Gy. (Szent Istvan University, Faculty of Food Science, Department of Food Engineering) ;
  • Giorno, L. (Istituto per la Tecnologia delle Membrane, Consiglio Nazionale delle Ricerche) ;
  • Koris, A. (Szent Istvan University, Faculty of Food Science, Department of Food Engineering)
  • Received : 2014.03.26
  • Accepted : 2016.01.09
  • Published : 2016.05.25
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Abstract

In this work, oil-in-water emulsions (O/W) were prepared successfully by membrane emulsification with $0.5{\mu}m$ pore size membrane. Sunflower oil was emulsified in aqueous Tween80 solution with a simple crossflow apparatus equipped with ceramic tube membrane. In order to increase the shear-stress near the membrane wall, a helical-shaped reducer was installed within the lumen side of the tube membrane. This method allows the reduction of continuous phase flow and the increase of dispersed phase flux, for cost effective production. Results were compared with the conventional cross-flow membrane emulsification method. Monodisperse O/W emulsions were obtained using tubular membrane with droplet size in the range $3.3-4.6{\mu}m$ corresponded to the membrane pore diameter of $0.5{\mu}m$. The final aim of this study is to obtain O/W emulsions by simple membrane emulsification method without reducer and compare the results obtained by membrane equipped with helix shaped reducer. To indicate the results statistical methods, $3^p$ type full factorial experimental designs were evaluated, using software called STATISTICA. For prediction of the flux, droplet size and PDI a mathematical model was set up which can describe well the dependent variables in the studied range, namely the run of the flux and the mean droplet diameter and the effects of operating parameters. The results suggested that polynomial model is adequate for representation of selected responses.

Keywords

Acknowledgement

Supported by : Hungarian National Scientific Foundation

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