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
نویسندگان
چکیده
This study presents an optimization strategy for recovery of oil from Japonica Luna rice bran using supercritical carbon dioxide (scCO2), based on design experiments (DoE). Initially, a 24?1 two level fractional factorial (FFD) was used, and pressure, temperature, scCO2 flow rate were determined as the significant variables; while yield, total flavonoids content (TFC), polyphenols (TPC) response functions used to analyze quality extracts recovered. Subsequently, central composite (CCD) applied examine effects variables responses create quadratic surfaces that optimize latter. The following values pressure = 34.35 MPa, temperature 339.5 K, 1.8 × 10?3 kg/min found simultaneously yield (6.83%), TPC (61.28 ?mol GAE/g ext), TFC (1696.8 EC/g ext). fatty acid profile oils characterized by GC-FID. It demonstrated acids in largest quantities are C16:0 (15–16%), C18:1 (41%), C18:2 (38–39%). Finally, three mass transfer models determine coefficients assess cumulative extraction curves, with AAD% 4.16, best model.
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ژورنال
عنوان ژورنال: ChemEngineering
سال: 2022
ISSN: ['2305-7084']
DOI: https://doi.org/10.3390/chemengineering6040063