Modelling the supercritical fluid extraction of edible oils and analysis of the effect of enzymatic pre-treatments of seed upon model parameters
authors Passos, CP; Coimbra, MA; Da Silva, FA; Silva, CM
nationality International
journal CHEMICAL ENGINEERING RESEARCH & DESIGN
author keywords Supercritical fluid extraction; Enzymatic pre-treatment; Grape seed oil; Series mass transfer model; Internal mass transfer; Effective diffusivity
keywords CARBON-DIOXIDE; CO2 EXTRACTION; VEGETABLE-OILS; MASS-TRANSFER; DIFFUSION
abstract In this work the supercritical fluid extraction of grape seed oil in a semi-continuous unit has been modelled and discussed in detail. The model embodies the concept of broken plus intact cells, and assumes series mass transfer from intact to broken cells, and then to the fluid phase. The numerical solution has been accomplished by the method of lines using finite differences with upwind flow correction. Experimental extraction curves for both untreated seed and enzymatically pre-treated seed have been modelled in order to evaluate the performance of the model in terms of correlation capability and physical meaning of the parameters. The extraction curves for untreated and treated seed have been accurately represented with average deviations between 2.30 and 7.25%. The model parameters that are intimately related with the internal structure of the seed are the grinding efficiency (or fraction of broken cells) and the internal mass transfer coefficient. Both parameters have been optimised and attained physically sound values, in view of the fact they increased after the enzymatic pre-treatment, and obeyed simple restrictions imposed. The model has been able to generate coherent concentration profiles in the bed and elution curves as well. (C) 2010 The Institution of Chemical Engineers. Published by Elsevier B.V. All rights reserved.
publisher INST CHEMICAL ENGINEERS
issn 0263-8762
year published 2011
volume 89
issue 7A
beginning page 1118
ending page 1125
digital object identifier (doi) 10.1016/j.cherd.2010.12.008
web of science category Engineering, Chemical
subject category Engineering
unique article identifier WOS:000291919700026
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journal impact factor 3.35
5 year journal impact factor 3.37
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