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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/24992
Title: Fitting of broken and intact cell model to supercritical fluid extraction (SFE) of sunflower oil
Authors: Rai A.
Mohanty, Bikash
Bhargava R.
Published in: Innovative Food Science and Emerging Technologies
Abstract: The present work is focused on the supercritical extraction and kinetic study of sunflower oil. The effect of operating parameters, namely pressure (20–40 MPa), temperature (333–373 K), solvent mass flow (0.83 × 10− 4 to 2.50 × 10− 4 kg/s), particle size (0.50–1.00 mm) and ethanol as co-solvent (0–10%) have been studied by a set of experiments. The outcomes of work show, extraction yield increases with increasing pressure, solvent mass flow and co-solvent. The retrograde phenomenon is also observed between 333 and 353 K. The experimental data have been used to simulate the broken and intact cell model and fitting parameters are optimized by the global optimization method. The model successfully fitted the experimental data at high pressure with lower particle size. Industrial relevance The sunflower seeds are a major source of good quality, high oleic acid, vegetable oil and Vitamin E. Hence, largely used in beauty care products, production of vegetable oil based fuel oil and lubricants. There are also many other applications of rich–oleic acid oils such as food, cosmetics, pharmaceuticals, biodiesel production, and also as a feedstock for the oleo-chemical industry. In recent years, due to rigid environmental regulation and health concern, high pressure extraction of the vegetable oil with supercritical carbon dioxide has received considerable attention as a promising alternative to conventional solvent extraction and mechanical process. Hence, the present work is focused on extraction of seed oil by supercritical CO2. Moreover, for industrial application of supercritical fluid extraction, it is very important to study the kinetic model that gives large scale extraction curves with minimum error by using model fitting parameters with small scale experiment. There are large numbers of models based on different approach suggested by various researchers to fit experimental data of supercritical fluid extraction. Amongst them, the broken and intact cell model proposed by Sovova's (1994) is widely used to fit the experimental data of vegetable oil extraction. The broken and intact cell model has three fitting parameters and many authors have applied different optimization techniques to optimize these fitting parameters. Therefore, in the present work the optimized kinetic parameters of Sovová's model for sunflower oil extraction are obtained by applying the Box complex optimization method to study the influence of pressure, temperature, particle size, co-solvent and solvent flow rate of extraction yield. © 2016 Elsevier Ltd
Citation: Innovative Food Science and Emerging Technologies, 38: 32-40
URI: https://doi.org/10.1016/j.ifset.2016.08.019
http://repository.iitr.ac.in/handle/123456789/24992
Issue Date: 2016
Publisher: Elsevier Ltd
Keywords: Broken and intact cell
Kinetics
Model optimization
SFE
Sunflower oil
ISSN: 14668564
Author Scopus IDs: 56025473600
57211010484
35856519800
Author Affiliations: Rai, A., Department of Chemical Engineering, NIT Hamirpur, Hamirpur, Himachal Pradesh 177001, India
Mohanty, B., Department of Chemical Engineering, IIT Roorkee, Roorkee, Uttarakhand 247667, India
Bhargava, R., Department of Chemical Engineering, IIT Roorkee, Roorkee, Uttarakhand 247667, India
Corresponding Author: Rai, A.; Department of Chemical Engineering, India; email: mit.rai123456@gmail.com
Appears in Collections:Journal Publications [CH]

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