Publication Type Journal Article
Title Optimization of Oil Recovery from Japonica Luna Rice Bran by Supercritical Carbon Dioxide Applying Design of Experiments: Characterization of the Oil and Mass Transfer Modeling
Authors José Coelho Maria Paula Robalo Ines S. Fernandes Roumiana P. Stateva
Groups MET
Journal CHEMENGINEERING
Year 2022
Month
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Volume 6
Number 4
Pages
Abstract This study presents an optimization strategy for recovery of oil from Japonica Luna rice bran using supercritical carbon dioxide (scCO(2)), based on design of experiments (DoE). Initially, a 2(4-1) two level fractional factorial design (FFD) was used, and pressure, temperature, and scCO(2) flow rate were determined as the significant variables; while the yield, total flavonoids content (TFC), and total polyphenols content (TPC) were the response functions used to analyze the quality of the extracts recovered. Subsequently, central composite design (CCD) was applied to examine the effects of the significant variables on the responses and create quadratic surfaces that optimize the latter. The following values of pressure = 34.35 MPa, temperature = 339.5 K, and scCO(2) flow rate = 1.8 x 10(-3) kg/min were found to simultaneously optimize the yield (6.83\%), TPC (61.28 mu mol GAE/g ext), and TFC (1696.8 mu mol EC/g ext). The fatty acid profile of the oils was characterized by GC-FID. It was demonstrated that the acids in largest quantities are C16:0 (15-16\%), C18:1 (41\%), and C18:2 (38-39\%). Finally, three mass transfer models were applied to determine the mass transfer coefficients and assess the cumulative extraction curves, with an AAD\% of 4.16, for the best model.
DOI http://dx.doi.org/10.3390/chemengineering6040063
ISBN
Publisher MDPI
Book Title
ISSN
EISSN 2305-7084
Conference Name
Bibtex ID WOS:000846264400001
Observations
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