Optimization of Oil Recovery from <i>Japonica</i> Luna Rice Bran by Supercritical Carbon Dioxide Applying Design of Experiments: Characterization of the Oil and Mass Transfer Modeling
This study presents an optimization strategy for recovery of oil from <i>Japonica</i> Luna rice bran using supercritical carbon dioxide (scCO<sub>2</sub>), based on design of experiments (DoE). Initially, a 2<sup>4−1</sup> two level fractional factorial design (FF...
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MDPI AG
2022-08-01
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author | José P. Coelho Maria Paula Robalo Inês S. Fernandes Roumiana P. Stateva |
author_facet | José P. Coelho Maria Paula Robalo Inês S. Fernandes Roumiana P. Stateva |
author_sort | José P. Coelho |
collection | DOAJ |
description | This study presents an optimization strategy for recovery of oil from <i>Japonica</i> Luna rice bran using supercritical carbon dioxide (scCO<sub>2</sub>), based on design of experiments (DoE). Initially, a 2<sup>4−1</sup> two level fractional factorial design (FFD) was used, and pressure, temperature, and scCO<sub>2</sub> 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<sub>2</sub> flow rate = 1.8 × 10<sup>−3</sup> kg/min were found to simultaneously optimize the yield (6.83%), TPC (61.28 μmol GAE/g ext), and TFC (1696.8 μmol 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. |
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spelling | doaj.art-378e916cb82347adb9b4654643458da12023-11-30T21:07:31ZengMDPI AGChemEngineering2305-70842022-08-01646310.3390/chemengineering6040063Optimization of Oil Recovery from <i>Japonica</i> Luna Rice Bran by Supercritical Carbon Dioxide Applying Design of Experiments: Characterization of the Oil and Mass Transfer ModelingJosé P. Coelho0Maria Paula Robalo1Inês S. Fernandes2Roumiana P. Stateva3Instituto Superior de Engenharia de Lisboa, Instituto Politécnico de Lisboa, Rua Conselheiro Emídio Navarro 1, 1959-007 Lisboa, PortugalInstituto Superior de Engenharia de Lisboa, Instituto Politécnico de Lisboa, Rua Conselheiro Emídio Navarro 1, 1959-007 Lisboa, PortugalInstituto Superior de Engenharia de Lisboa, Instituto Politécnico de Lisboa, Rua Conselheiro Emídio Navarro 1, 1959-007 Lisboa, PortugalInstitute of Chemical Engineering, Bulgarian Academy of Sciences, Academic Georgi Bontchev Str., 1113 Sofia, BulgariaThis study presents an optimization strategy for recovery of oil from <i>Japonica</i> Luna rice bran using supercritical carbon dioxide (scCO<sub>2</sub>), based on design of experiments (DoE). Initially, a 2<sup>4−1</sup> two level fractional factorial design (FFD) was used, and pressure, temperature, and scCO<sub>2</sub> 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<sub>2</sub> flow rate = 1.8 × 10<sup>−3</sup> kg/min were found to simultaneously optimize the yield (6.83%), TPC (61.28 μmol GAE/g ext), and TFC (1696.8 μmol 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.https://www.mdpi.com/2305-7084/6/4/63rice bran oildesign of experiments (DoE)flavonoid contentpolyphenol contentfatty acidsmass transfer modeling |
spellingShingle | José P. Coelho Maria Paula Robalo Inês S. Fernandes Roumiana P. Stateva Optimization of Oil Recovery from <i>Japonica</i> Luna Rice Bran by Supercritical Carbon Dioxide Applying Design of Experiments: Characterization of the Oil and Mass Transfer Modeling ChemEngineering rice bran oil design of experiments (DoE) flavonoid content polyphenol content fatty acids mass transfer modeling |
title | Optimization of Oil Recovery from <i>Japonica</i> Luna Rice Bran by Supercritical Carbon Dioxide Applying Design of Experiments: Characterization of the Oil and Mass Transfer Modeling |
title_full | Optimization of Oil Recovery from <i>Japonica</i> Luna Rice Bran by Supercritical Carbon Dioxide Applying Design of Experiments: Characterization of the Oil and Mass Transfer Modeling |
title_fullStr | Optimization of Oil Recovery from <i>Japonica</i> Luna Rice Bran by Supercritical Carbon Dioxide Applying Design of Experiments: Characterization of the Oil and Mass Transfer Modeling |
title_full_unstemmed | Optimization of Oil Recovery from <i>Japonica</i> Luna Rice Bran by Supercritical Carbon Dioxide Applying Design of Experiments: Characterization of the Oil and Mass Transfer Modeling |
title_short | Optimization of Oil Recovery from <i>Japonica</i> Luna Rice Bran by Supercritical Carbon Dioxide Applying Design of Experiments: Characterization of the Oil and Mass Transfer Modeling |
title_sort | optimization of oil recovery from i japonica i luna rice bran by supercritical carbon dioxide applying design of experiments characterization of the oil and mass transfer modeling |
topic | rice bran oil design of experiments (DoE) flavonoid content polyphenol content fatty acids mass transfer modeling |
url | https://www.mdpi.com/2305-7084/6/4/63 |
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